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    Simulation Analysis of Load Characteristic of Thin Seam Shearer Drum
    Zhao Lijuan, Tian Zhen, Liu Xunan, Xie Bo
    Journal of System Simulation    2015, 27 (12): 3102-3108.  
    Abstract454)      PDF(pc) (671KB)(2209)       Save
    In order to analysis the load characteristics of thin seam shearer drum under complex geological conditions, the determination conditions of tooth working state were proposed, the drum load calculation scheme was designed according to the condition of coal seam and the working state of shearer. A thin seam shearer drum as the object of research, the load spectrums of drum under five typical working conditions were calculated, the law of cutting resistance moment and cutting power with different drum revolution speed and haulage speed was analyzed. The results show that: the load fluctuation from cutting hard inclusions is significantly higher than other four conditions. Variation range of load torque respect to the change of haulage speed diminishes with the increase of drum revolution speed, cutting power along the drum revolution speed and haulage speed increases rising in both directions.
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    Cited: Baidu(10)
    Risk Analysis of Passenger Car Moving on Curved Sections Based on Sideslip Microscopic Simulation
    Zhang Chi, Shao Dongjian, ZhangMin
    Journal of System Simulation    2015, 27 (7): 1609-1616.  
    Abstract191)      PDF(pc) (854KB)(682)       Save
    In consideration of rainfall and over-speeding, the risk of passenger car moving on curved sections was analyzed synthetically. The simulation model of the dynamic characteristic of passenger car was established using Carsim, the critical adhesion coefficient was used as the evaluation index of passenger car moving risk, and the evaluation model of passenger car moving on curved sections was established using Matlab. The results show that under the situation of design speed 80km/h, when driving speed exceeds 96km/h, the risk probability of passenger car moving on rainfall curved sections exceeds 48.40%; when the rainfall intensity is bigger than 1.5mm/min, the risk probability of passenger car over-speeding moving on curved sections exceeds 16.35%; under the situation of rainfall and over-speeding, the risk probability of passenger car moving on curved sections which radius is 250m is 100%.
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    Cited: Baidu(9)
    Recent Advances in Finite Element Simulation of Machining Processes
    Yu Caixu, Cai Chunbin, Huang Cui, Liu Erliang
    Journal of System Simulation    2016, 28 (4): 815-825.  
    Abstract297)      PDF(pc) (6025KB)(1088)       Save
    Recently, the finite element simulation technology has been widely applied in machining simulation and has played an irreplaceable role in the investigations of machining mechanism of metal and composite materials, optimization of cutting parameters,etc. The importance of finite element simulation, commonly used software and material constitutive model were introduced. The latest research progress of the finite element simulation of cutting at home and abroad was summarized, including the simulation of chip morphology, the simulation of cutting force and cutting temperature, tool wear simulation, the machined surface integrity, simulation of the effect of multi-steps cutting on cutting process and finite element simulation of cutting process of composites. A preliminary forecast on the future development direction of finite element simulation was made.
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    Cited: Baidu(7)
    Research on the Formalization Description method of Manufacturing Capability Service in Cloud Manufacturing
    Xiao Yingying, Li Bohu, Chai Xudong, Gong Jing
    Journal of System Simulation    2015, 27 (9): 2096-2107.  
    Abstract607)      PDF(pc) (565KB)(2136)       Save
    According to the application demand of manufacturing capability service (MCs) in cloud manufacturing system, MCs' formalization description method was focused on. Based on the connotation analysis of MC, the definition and the classification framework of MC were given. Meanwhile, a meta-model of MCs and its attribution details, as well as a EVA (entity-value- attribute)- based persistence method was proposed to realize the formulization of heterogeneous MCs. The primary research and application in the cloud manufacturing system (TianzhiNet) show that the formalization description method of MCs is feasible. Finally, the future works are given.
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    Cited: Baidu(7)
    Track Planning for Unmanned Aerial Vehicles Based on Wolf Pack Algorithm
    Liu Yonglan, Li Weimin, Wu Husheng, Song Wenjing
    Journal of System Simulation    2015, 27 (8): 1838-1843.  
    Abstract364)      PDF(pc) (464KB)(1110)       Save
    Along with the diversification of missions that unmanned aerial vehicles (UAV) can carry out, track planning becomes basic precondition of UAV fulfilling missions successfully. Aiming to these, a method of track planning based on Wolf Pack Algorithm (WPA) was proposed. The method of equivalent terrain simulation was used to make enemy's threatens and terrain obstacles equal to peaks, thus the scene of track planning of UAV was built. Based on the scene, the WPA that extracted three intelligent behaviors including scouting, summoning and beleaguering was adopted to plan the track of UAV, whose start point and end point had been known. The track that planned out avoids obstacles safely, has short length and costs little average time. Simulation results show the validity of the method.
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    Cited: Baidu(6)
    Parameter Optimization on Coordinated Control System of Thermal Power Units in High Rate Variable Load Operation Mode
    Tian Liang, Liu Fang, Liu Xinping, Liu Jizhen
    Journal of System Simulation    2015, 27 (7): 1532-1540.  
    Abstract214)      PDF(pc) (574KB)(379)       Save
    The frequent fluctuations and rapid change of power grid generating load instruction cause the deterioration of control quality of generating load and throttle pressure in thermal power units. To solve this problem, a trial and error method, the parameters adjustment range of which could be quantified, was proposed. Based on the model of controlled object, the initial value of controller parameters were set conservatively. By calculating the difference between current value and the target value of load change rate, the optimization times were determined, the PID controller parameters optimization method of coordinated control system was studied, and the effectiveness of this method has been proved in theory. The application in a 600MW unit shows that the control quality of generating load and throttle pressure were improved obviously.
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    Cited: Baidu(6)
    Modeling and Simulation of HVDC Systems by Three-Phase Dynamic Phasor
    ZhaoYunhao, Liu Chongru, Li Gengyin, Yun Feilong
    Journal of System Simulation    2017, 29 (4): 752-760.   DOI: 10.16182/j.issn1004731x.joss.201704007
    Abstract301)      PDF(pc) (582KB)(474)       Save
    A three-phase dynamic phasor (TPDP) model of High Voltage Direct Current (HVDC) systems was proposed. The proposed model could rapidly solve the dynamic characteristics of HVDC systems for AC system symmetrical and asymmetrical operating conditions. Switch functions model of converter was enhanced according to commutation process analysis of the converter. Due to the frequency characteristics analysis results, the TPDP model of HVDC systems with the converter, DC line and controller were established through dynamic phasor theory. Simulation results show that the proposed model is effective and acceptable..
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    Cited: Baidu(6)
    Mobile Robot SLAM Simulation with Multi Measurement Update
    Xu Yafang, Sun Zuoleit, Zeng Liansun, Zhang Bo
    Journal of System Simulation    2015, 27 (6): 1288-1293.   DOI: 10.16182/j.cnki.joss.2015.06.020
    Abstract245)      PDF(pc) (1027KB)(317)       Save
    Aiming at the problem of the accumulation of linearization error in the nonlinear system linearizing of Simultaneous Localization and Mapping (SLAM) in mobile robot, an algorithm named multi measurement update was put forward according to the analysis of Fisher information. In order to compute the state estimation after each measurement update, the Fisher information weight relationship between prediction variable and update variable was made use of Due to a number of data association with an estimation which was more close to the real data than the former, the algorithm could achieve a more accuracy posterior state. As a result, it could decrease the linearization error and improving the precision of localization and mapping. The experiments made a comparison between the multi measurement update and single measurement update. It shows that the proposed method can efficiently reduce the robot pose error and map information error.
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    Cited: Baidu(5)
    Finite Element Simulation of Machining 7075 Aluminum Alloy Based on AdvantEdge and Corresponding Experimental Study
    Liao Yusong, Han Jiang
    Journal of System Simulation    2015, 27 (7): 1496-1501.  
    Abstract319)      PDF(pc) (2310KB)(210)       Save
    Abstract: The finite element simulation of cutting 7050 aluminum alloy was carried out based on the software of AdvantEdge, and Johnson-Cook constitutive model was chosen for the workpiece material in the model. The parameters for the constitutive model were obtained through the Hopkinson experiment. The cutting forces and surface qualities were observed through different cutting velocities and cutting depths. The cutting velocity and cutting depth were optimized, and the experiment was carried out with the guidance of the simulation results. The machined workpiece obtained from the experiment shows that the optimized cutting parameters can improve the machined surface property greatly, so it can be concluded that the finite element simulation can provide significant guidance to the machining process in practice.
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    Cited: Baidu(5)
    CQPSO Algorithm Based Control System Parameter Optimization
    Wei Genyuan, Feng Xinqiang, Han Pu
    Journal of System Simulation    2015, 27 (7): 1570-1576.  
    Abstract275)      PDF(pc) (542KB)(164)       Save
    According to the shortcomings of optimization methods of control system parameters, and the result of PSO algorithm usually falling into the partial optimum, Chaos Search and Quantum Space Search were added to the PSO algorithm, constituting the Chaos Quantum Particle Swarm Optimization algorithm, which was applied to the typical thermal control system parameters optimization. Introducing the selection of object functions of control system parameter optimization, describing the CQPSO algorithm process, the CQPSO algorithm was tested and analyzed through multiple test functions. The result shows that, compared with PSO and CPSO algorithm, CQPSO algorithm makes the particle swarm get out of the partial optimization quickly, and improves the accuracy and speed of search. Eventually, the CQPSO algorithm is applied to the PID controller parameters optimization of main steam temperature control system, which offers a credible reference for tuning control parameters and is of great significance.
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    Cited: Baidu(5)
    Modeling and Quaternion Control of X-Type Quadrotor
    Ding Shaobin, Xiao Changshi, Liu Jingen, Wen Yuanqiao
    Journal of System Simulation    2015, 27 (12): 3057-3062.  
    Abstract829)      PDF(pc) (625KB)(2739)       Save
    A comprehensive dynamic model of X-type quadrotor was established and simulated. Different from other widely used models that usually treated quadrotor as a single-rigid-body system, the rotors, propellers and the aircraft body were treated as a multi-rigid-body system in the proposed model. The 3D model wireframe was constructed using Solidworks and the important inertial parameters were extracted from the design data. Two types of multi-channel-double-loop vector PD flight controller were designed and fine tuned, one was based on quaternion feedback and the other was based on Euler angle feedback. The close-loop systems were simulated on Matlab/Simulink. The simulation results show that both systems achieve stable control of aircraft position and pose, however, quaternion feedback based controller shows shorter transition time, less computation and no singularity point compared to Euler angle feedback based controller.
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    Cited: Baidu(5)
    Improved APIT Localization Algorithm Based on Wireless Sensor Network
    Wu Dong, Ji Zhicheng, Zhang Biao
    Journal of System Simulation    2015, 27 (12): 2965-2972.  
    Abstract563)      PDF(pc) (519KB)(2143)       Save
    To address the problems of Approximate Point-In-Triangulation Test (APIT) algorithm in Wireless Sensor Network requiring high anchor node density, Out-To-In or In-To-Out error judgment, nodes failure and so on, an improved APIT localization algorithm based on Wireless Sensor Network was proposed. The method based on directional searched node and combined with RSSI ranging calculation by Gaussian fitting method was used to deal with error judgment. Besides, a geometrical method was used to process the failure nodes. The simulation results show that the improved localization algorithm performs greatly better, both in positioning accuracy and number of error judgment, than the traditional APIT localization algorithm and the modified localization algorithm of APIT based on mobile anchor node.
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    Cited: Baidu(5)
    Design and Implementation of Electromagnetic Spectrum Visualization System
    Fang Bin, Ma Jie, Sun Keyu
    Journal of System Simulation    2015, 27 (9): 2156-2162.  
    Abstract360)      PDF(pc) (896KB)(572)       Save
    Battlefield environment, filled with all kinds of devices with frequency electromagnetic signals, results in complex and rapidly changing electromagnetic environment. And the uncertainty brought by the complexity and the time variability not only makes it hard to predict the result of a war, but also leads to higher requirements for the current electromagnetic visualization platform serving for decision. To satisfy the visual needs for the electromagnetic spectrum data in the battlefield environment, the electromagnetic spectrum trend was designed in the perspective of temporal, spatial, frequency, and the energy domain. Four situations were proposed: equipment frequency radiation situation, spectrum resource state situation, the regional energy distribution situation and the interference situation. The electromagnetic spectrum visual simulation platform on VS2008 in C++ aided with ArcGIS, OpenGL, TeeChart was developed.
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    Cited: Baidu(5)
    Boiler Combustion Optimization Based on Bayesian Neural Network and Genetic Algorithm
    Fang Haiquan, Xue Huifeng, Li Ning, Fei Xi
    Journal of System Simulation    2015, 27 (8): 1790-1795.  
    Abstract259)      PDF(pc) (229KB)(449)       Save
    Neural network and genetic algorithm have been extensively used in boiler combustion optimization problems. But the traditional Back Propagation neural network's generalization ability is poor. The Bayesian regularization can improve the neural network's generalization ability. A boiler combustion multi-objective optimization method combining Bayesian regularization BP neural network and genetic algorithm (Bayes NN-GA)was researched. A number of field test data from a boiler was used to simulate the Bayesian neural network model. The results show that the thermal efficiency and NOx emissions predicted by the Bayesian neural network model show good agreement with the measured, and the optimal results show that hybrid algorithm by combining Bayesian regularization BP neural network and genetic algorithm can be a good tool to solve the problem of multi-objective optimization of a coal-fired combustion, which provide a theory guidance for the boiler operation in an economic and environmental way.
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    Cited: Baidu(4)
    Synthetic Aperture Radar Signal Simulation of Ships on Sea Surface
    Diao Guijie, Xu Xiaojian, Ni Hong, Lu Junjie
    Journal of System Simulation    2015, 27 (9): 1989-1996.  
    Abstract251)      PDF(pc) (2538KB)(411)       Save
    A synthetic aperture radar (SAR) signal simulation method for ship targets on sea surface was proposed and the SAR signature model was established. The ship six degrees freedom motion model, the sea surface complex reflection coefficient model and the target electromagnetic scattering model were introduced. Based on the high frequency electromagnetic scattering calculation method and multi-path electromagnetic scattering, the electromagnetic coupling scattering and the time-varying characteristics were simulated. By comparing and analyzing the imaging results of the simulated SAR signal in different states, the physical scattering characteristics of ship targets on sea surface was realistically reflected, at the same time, the validity of the SAR signature model was demonstrated.
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    Cited: Baidu(4)
    Study of Improved Generalized Predictive Control in Ball Mill Application
    Sun Lingfang, Sun Jingmiao
    Journal of System Simulation    2015, 27 (6): 1329-1337.   DOI: 10.16182/j.cnki.joss.2015.06.026
    Abstract220)      PDF(pc) (2681KB)(163)       Save
    Direct-fired pulverizing system with double inlets and outlets is regarded as important generating equipment in power plant, which has characteristics of nonlinear, multivariable, strong coupling and time-varying. Started from the mechanism of law, the mechanism mathematical model of the ball mill was established and a certain amount of disturbance transfer ftinction model was added in a mathematical model of the mechanism of input variables to give step disturbance tests to establish the ball mill system. Combining the most widely used basic control--PID control as industrial process control, and on the basis of general generalized predictive control algorithm, the generalized predictive control algorithm with a proportional-integral-derivative structure (PID-GPC) was applied to the ball mill. Through a 300 MW power unit negative run large ball mill pulverizing system simulation in Longshan, Hebei, China, it is shown that the algorithm has better robustness than general feed-forward decoupling PID control, and itJs better to be applied in industry.
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    Cited: Baidu(4)
    Study on Simulation of Turning Burr Formation Based on Finite Element Method
    Zhu Yunming, Huang Jingui, Wang Guicheng, Chen Yun
    Journal of System Simulation    2015, 27 (5): 1120-1126.  
    Abstract211)      PDF(pc) (402KB)(276)       Save
    According to the relative motion of tool and workpiece, a new mechanical-thermal coupling finite element model of turning burr formation was established. It adopted supporting plate method to eliminate the influence of workpiece deformation which remained on the workpiece side. Operational efficiency improved greatly under this model. Based on the analysis of simulation results, it is discovered that there are both bending deflection and partly cutting occurred on cutting layer material. AISI1045 steel turning experiment was conducted, it is found that the results of simulation are close to the experimental. The model provides an effective way for analyzing the cutting heat, cutting force, workpiece deformation, stress flow and so on in the process of burr formation.
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    Cited: Baidu(4)
    Fault Diagnosis for Automobile Coating Equipments Based on Extension Neural Network
    Ye Yongwei, Ren Shedong, Ye Lianqiang, Ge Shenhao, Qian Zhiqin
    Journal of System Simulation    2015, 27 (3): 542-548.  
    Abstract112)      PDF(pc) (409KB)(181)       Save
    Aiming at the difficulty in discovering and eliminating the system faults of automobile coating equipments in time, a new method of fault diagnosis based on extension neural network was proposed. The feature of extension theory was used in managing the structured information through qualitative and quantitative description, and it was also combined by the characteristic of parallel construct in neural network. So the extension reasoning process was completed by means of the parallel distributed processing construct of the network. Matter-element input and output models were established according to the equipment monitoring parameters and fault types for the heating system. And parameter samples were taken into training, and a comparative simulation experiment was made for the result. The experiment reveals that the extension neural network has a simpler construct and can respond faster compared with the traditional neural network.
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    Cited: Baidu(4)
    Modeling and Motion Analysis of Multi-bodies Dynamic of Unmaned Parafoil Vehicle
    Zhang Hao, Chen Zili, Qiu Jingang
    Journal of System Simulation    2016, 28 (8): 1841-1845.  
    Abstract160)      PDF(pc) (900KB)(501)       Save
    Unmanned Parafoil Vehicle (UPV) has gradually become a hotspot in the flexible wing vehicle research filed for its superior fight performance and advantages in application. An eight degrees of freedom (DOF) nonlinear dynamic model of UPV in mechanism law was proposed, aiming at the structure characteristics of the two flexible connections, and considering the added mass of canopy and the relative motion of two bodies. The response of model to different levels of thrust changes was simulated and analyzed, pulling a single steering line and pulling the left and right steering lines of canopy symmetrically on the steady state of gliding. The simulation results illustrate that operator will cause the relative motion between two bodies which cannot be ignored, and also verify the validity and utility of model.
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    Cited: Baidu(4)
    Evaluation Method of Training Simulation Result Based on Grey Clustering and Analytic Hierarchy Process
    Wu Zhaobin, Chen Li, Zhao Chunxia
    Journal of System Simulation    2016, 28 (2): 416-424.  
    Abstract202)      PDF(pc) (2444KB)(159)       Save
    An evaluation method based on grey relational analytic hierarchy process was proposed in order to improve rationality of evaluation training result of portable anti-air missile training simulation system. The evaluating indicators including definitions and calculation equations were proposed from three aspects including accuracy, rapidity and stationarity. The weights of the evaluating indicators were calculated by analytic hierarchy process of multiple experts, and the scores of the evaluating indicators were given by 0-1 process and grey clustering evaluation, and using the weights and scores of the evaluating indicators the training score could be obtained. An example of evaluation training result of a certain type portable anti-air missile training simulation system was given, which shows the rationality and the superiority of the proposed evaluation method.
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    Cited: Baidu(3)
    Modeling and Simulation of Multi-nozzle Ejector based on Flowmaster
    Lan Jiang, Zhu Lei, Zhao Jingquan
    Journal of System Simulation    2016, 28 (2): 410-415.  
    Abstract300)      PDF(pc) (407KB)(191)       Save
    A mathematical model of multi-nozzle ejector was established according to the mass conservation, energy conservation and momentum conservation, and a modification was achieved with the introduction of momentum correction coefficient and discharge coefficient. On this basis, linear coefficients used in the fluid network method were determined, then a system-level simulation model of multi-nozzle ejector was first developed with C# language on the fluid system simulation software of Flowmaster. The simulation and experimental results of the multi-nozzle ejector in an aircraft environmental control system shows that the entrainment ratio decreases with the increasing pressure ratio of primary and secondary flow. The relative error between the simulation and experimental values of primary mass flow rate, secondary mass flow rate and entrainment ratio are respectively 0.05%-2.74%、2.59%-6.64% and 1.20%-7.77%, which verifies the accuracy of the simulation model.
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    Cited: Baidu(3)
    Fast Training Model for Image Classification Based on Spatial Information of Deep Belief Network
    Gao Qiang, Yang Wu, Li Qian
    Journal of System Simulation    2015, 27 (3): 549-558.  
    Abstract165)      PDF(pc) (1687KB)(168)       Save
    With the exponential growth of data and the complexity of algorithm, efficient computing of DBN (Deep Belief Network,) has become an important issue. A fast training model for image classification of DBN was built according to sample images of DBN have nothing to do with spatial information, an improved algorithm simply as LSMI(Linear Superposition Multiple Images) was proposed for classifying images based on the idea that linear combination of multiple images. The characteristics of training images have nothing to do with spatial information was proved via information entropy theory, meanwhile, the characteristics was identified to be correct based on ORL database. According to ergodic theory, an algorithm simply as LSMI was proposed according to the ergodic theory. The LSMI algorithm was contrasted to other improved algorithms, using COREL and MIT database, judging whether the LSMI algorithm is effective from the correct recognition rate, time complexity and other quotas. The simulation results show that LSMI algorithm can ensure recognition rate, decrease training time greatly and achieve the goal of fast learning.
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    Cited: Baidu(3)
    Prediction and Estimation of 95% Distillation Point Diesel in Delayed Coking Unit Based on Kernel Partial Least Squares
    Cheng Jian, Zhang Lingbo, Gu Xingsheng
    Journal of System Simulation    2015, 27 (3): 598-602.  
    Abstract120)      PDF(pc) (362KB)(230)       Save
    In order to save labor cost and time of 95% distillation point of diesel analysis, and improve the efficiency of adjusting the device, an algorithm was proposed to predict 95% distillation point of diesel based on Kernel Partial Least Squares(KPLS), on the basis of studying the process of delayed coking unit and analyzing the main factors related to 95% distillation point of diesel. The experiment results show that this algorithm can deal with the non-linear relationship among the variables effectively and quickly. Furthermore, the results also show that the model based on KPLS is better than that based on partial least squares. So this algorithm can be used to guide production and improve the profit of enterprise in practice.
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    Cited: Baidu(3)
    Game Theory Based Self-adaptive Power Control Algorithm for Cognitive Radio Networks
    Ma Zhonggui, Ban Sha, Chen Guimei, Chen Linqi
    Journal of System Simulation    2015, 27 (3): 584-590.  
    Abstract132)      PDF(pc) (700KB)(355)       Save
    In order to meet all cognitive users' demands in the Cognitive Radio Networks(CRNs), non-cooperative game theory was used to model power control in the CRNs, and an adaptive power control algorithm for the CRNs was put forward using payoff unction and comprehensive cost function as utility function. Meanwhile, distances from the base station, stability of the algorithm and the interference between different cognitive users were considered. The existence and uniqueness of the Nash equilibrium were analyzed. By using the comprehensive cost function, each cognitive user in a non-cooperative game becomes cooperative and the Nash equilibrium can be convergent to Pareto-optimal solution. Comparing with other distributed algorithms, simulation results show that the proposed power control algorithm can overcome the near-far effect, greatly decrease the transmitting power of the cognitive users, and achieve fair spectrum share among users in the premise of meeting the SIR demand of different cognitive users.
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    Cited: Baidu(3)
    Simulation Study of Soft Switching Technology for Quasi-Z-source Boost Converter
    Xia Kun, Zeng Yanneng, Ge Yue, Li Xiaodi
    Journal of System Simulation    2015, 27 (3): 656-661.  
    Abstract159)      PDF(pc) (595KB)(217)       Save
    With the same input voltage and duty cycle, quasi-Z-source boost converter can provide higher output voltage than traditional boost converter. It has the advantages of high efficiency, wide range of practical output voltage. A quasi-Z-source boost converter topology with soft switching technology was proposed. Using assist switch replaced the diode of original topology, which could accomplish the zero voltage switching on state of the main switch. The MATLAB/Simulink simulation results show that the new topology can reduce the switch stress of main switch and increase the system stability, also it can prolong the life time of switching devices.
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    Cited: Baidu(3)
    Review on Interoperability of Command Information System and Combat Simulation System
    Tang Zaijiang, Xu Xiangzhong, Xue Qing, Xu Haohua
    Journal of System Simulation    2015, 27 (8): 1659-1664.  
    Abstract265)      PDF(pc) (457KB)(666)       Save
    The interoperability of command information system and combat simulation system is an important and difficult problem of building practical training environment. The four aspects of interoperability connotation were summarized. The demands of interoperability were analyzed. The status and development of interoperability, especially for C4ISR/Sim Technical Reference Model (TRM), Battle Management Language (MBL), Levels of Conceptual Interoperability Model (LCIM) were studied. The existing problems were summarized, and four kinds of solutions were proposed. The general technical framework of interoperability based on service oriented architecture was designed, and the interoperability solving method based on Ontology was given.
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    Cited: Baidu(3)
    Modeling and Simulation of Executable Architecture Based on P-DEVS
    Hu Jianpeng, Huang Linpeng
    Journal of System Simulation    2016, 28 (2): 283-291.  
    Abstract174)      PDF(pc) (1094KB)(318)       Save
    Executable architecture modeling plays a vital role in the design of complex systems and System of Systems (SoS), but there is still no common view and standard, unified execution mechanism and environment for an executable architecture. Three major elements of executable architecting were analyzed and summarized with a comparison among the options of these elements. To realize automated transformation from graphical models to executable codes, a generic modeling approach to executable architecture of SoS based on Parallel Discrete Event System Specification (P-DEVS) was proposed, and a case study of airport SoS shows its feasibility and effectiveness.
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    Cited: Baidu(3)
    Simulation Research on Impact of Consumer Bounded Rationality on Optimal Pricing Strategy in Supply Chain
    Li Feng, Wei Ying
    Journal of System Simulation    2015, 27 (12): 2898-2907.  
    Abstract180)      PDF(pc) (1779KB)(203)       Save
    Noticing increasing market responses to online sales channel, the impact of bounded rationality of consumer on pricing strategy was studied in a dual-channel supply chain system, which consists of one manufacturer and one retailer. A multiple-agent based modeling and simulation approach was proposed and employed. In a Stackelberg game setting with the manufacturer the leader, optimal pricing decisions were calculated from the simulation model. Impacts of consumer behavior parameters on channel prices and sales revenue were analyzed, i.e., degree of consumer bounded rationality, consumer’s acceptance of online channel, as well as consumer’s valuation distribution to the product. Results reveal that the manufacturer benefits from higher acceptance level of online channel, and the retailer will be better off for increasing degree of consumer’s bounded rationality.
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    Cited: Baidu(3)
    Modeling and Simulation for Ultra Supercritical Units Load Regulation by Condensate Throttling
    Gu Junjie, Wang Peng
    Journal of System Simulation    2015, 27 (12): 2920-2926.  
    Abstract189)      PDF(pc) (939KB)(170)       Save
    Dynamic model of the condensate flow and load of ultra supercritical units was given. Reasonable inference and simplified were made by the conservation of volume, conservation of mass and conservation of energy and dynamic model of the condensate flow and load of supercritical units was offered, which could provide theoretical basis for the implement of the power plant condensate throttling and load control. Taking a 1000 MW ultra supercritical unit as an example, simulation of the model was made and compared. Results show that the gain coefficient and the time constant of the transfer function of the condensate flow and load can be regulated by changing different amount of condensate flow at the rated working condition; in different working condition, the gain coefficient is larger with the increase of load, but the time constant is shorter.
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    Cited: Baidu(3)
    Energy Saving Control Research on Mine Drainage System Based on Model Predictive Control
    Ren Zhiling, Han Jiahao
    Journal of System Simulation    2015, 27 (12): 3032-3036.  
    Abstract194)      PDF(pc) (1091KB)(160)       Save
    Grey model of water inflow in tunnel and time with measuring data and economic model was established after analysis for energy conservation issue of mine drainage system. Using model predictive control, a coal mines pumping water pump scheduling in non-peak periods was establish, executing the simulation of the gray model based on model predictive control and predicting the water inflow at times of peak demand in morning and evening. A load shifting schedule for system was formulated. The result show that the pump scheduling established in non-peak periods based on model predictive control can reduce the cost of electricity effectively while the gray model can predict inflow efficiently based on model predictive control in peak hours so that it can be able to make system to transfer the load accurately. The energy-saving strategies make mine drainage system to reach a highly efficient energy-saving effect and also to meet the water and other constraints.
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    Cited: Baidu(2)
    Adaptive Multichannel Double L-Shaped Microphone Array Sound Source Localization Algorithm
    Guo Yecai, Zhu Sainan, Zhang Ning
    Journal of System Simulation    2015, 27 (7): 1556-1562.  
    Abstract223)      PDF(pc) (1566KB)(346)       Save
    Aiming at the lack of ability to resist noise and reverberation and the location estimation low accuracy for the sound source localization method based on microphone array in the indoor sound environments, a sound source localization algorithm based on adaptive multichannel double L-shaped microphone array was proposed. In this proposed algorithm, normalized multichannel frequency-domain least mean square algorithm was used to estimate the impulse responses of different array elements and acquire the time delay under condition of the single source and multiple reverberation model, the spectrum energy was modified by penalty function to improve the ability to suppress noise and avoid channel estimation deterioration, and the method on limited length of the filter was employed for improving the ability to suppress reverberation, as well as double L-shaped microphone array structure was used to improve the localization accuracy in the indoor sound environments. The simulation results show that the proposed algorithm has higher performance of sound source localization in indoor environment and meets the actual demand.
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    Cited: Baidu(2)
    Performance Analysis of Netted Radar Data Fusion Systems
    Chen Zhijie, Rao Bin, Li Yongzhen, Zong Zhiwei
    Journal of System Simulation    2015, 27 (7): 1526-1531.  
    Abstract213)      PDF(pc) (404KB)(429)       Save
    The performance analysis of netted radar data fusion systems was proposed. The principles of two representative radar netting modes (i.e., centralized fusion and distributed fusion) were introduced and the associated capabilities of anti-jamming, anti-stealth, fusion accuracy, fusion discrimination, and communication requirements were quantitatively analyzed. Simulation results indicate that the netting essence is, centralized fusion by using ‘or' rule to complement information and realize trajectory composition whereas distributed fusion by using ‘and' rule to reduce information redundancy and realize discrimination ability. The research can provide some enlightenment for the newly-developed intellective netted radar data fusion systems.
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    Cited: Baidu(2)
    Simulative Study of Machining Mechanism of Material in Micro-EDM
    Wang Shi, Guo Jianwen, Jiang Wuxue, Cao Wenliang
    Journal of System Simulation    2015, 27 (12): 2891-2897.  
    Abstract189)      PDF(pc) (4633KB)(198)       Save
    Great complexity and randomness exist in micro-electrical discharge machining (micro-EDM) process. Considering the limitations of molecular dynamics model and numerical model based on heat transfer theories in studies on machining mechanism of micro-EDM, a hybrid modeling method in which the two-temperature model and molecular dynamics simulation model were integrated was used to construct the machining model for the anode in micro-EDM process, and the corresponding parallel simulation platform was built based on MPI technology. In this simulation model, a heat source was placed in the electron system to mimic the thermal action of the discharge channel on the anode material, and furthermore, by analyzing temporal-spatial evolutions of temperature and stress in the anode material and temperature in the electron system, different machining mechanisms of anode material were revealed correspondingly when different amounts of energy were input.
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    Cited: Baidu(2)
    Robust Model and Optimization of Anti-impact Performance for MEMS Ring Gyroscope
    Jiang Tao, Sun Lin
    Journal of System Simulation    2016, 28 (4): 793-799.  
    Abstract196)      PDF(pc) (860KB)(248)       Save
    In order to reduce the influence of parameter variation on anti-impact performance of micro mechanical gyroscope, a kind of MEMS ring gyroscopes was chosen as the research object, applying the method of explicit dynamic finite element analysis and design of experiment, influence of parameter variation was studied with significant analysis, and reasonable design parameters were decided. Mathematical model of anti-impact robustness optimization for ring gyroscope was established, in which maximum impact stress and performance variation were minimized as the optimal goal. Ultimately, the optimal solution set could be obtained by means of pareto multi-objective genetic algorithm. Simulation results show that while the normal working performance of the ring gyroscope is fulfilled, the anti-impact performance of which is robuster. It provides a new and effective method for anti-impact design of micro gyroscope.
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    Cited: Baidu(2)
    Study of Synchronization for Fractional-order Hyperchaotic System and Its Application in Secure Communication
    Xue Wei, Xu Jinkang, Jia Hongyan
    Journal of System Simulation    2016, 28 (8): 1915-1922.  
    Abstract132)      PDF(pc) (7137KB)(124)       Save
    A unidirectionally coupled synchronization method was adopted to design and implement the synchronization for the reported commensurate fractional-order hyperchaotic system, and its correctness and effectiveness were analyzed in theory. Moreover, taking an example of 3.6-order hyperchaotic system, analog circuits were designed to implement the fractional-order hyperchaotic system and its unidirectionally coupled synchronization with the frequency-domain approximation method based on Bode diagram. By conducting the circuit implementation, it is found that the results of the circuit implementation are in good agreement with those of the numerical simulation, which demonstrates the feasibility of the synchronization. On this basis, a secure communication scheme of chaotic masking based on the adopted synchronization method is investigated, and the circuit experiment results agree with the numerical simulation results, indicating that the secure communication scheme is effective and has good secrecy.
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    Cited: Baidu(2)
    Simulation and Analysis of Airborne Phase Array Weather Radar Reflectivity
    Wang Lei, Yu Chaopeng, Liu Ping
    Journal of System Simulation    2016, 28 (8): 1869-1877.  
    Abstract176)      PDF(pc) (2507KB)(336)       Save
    The relation between radar parameters such as radar gain, beam width and impulse width and radar reflectivity based on the parameters of airborne phase array weather radar at X-band were proposed. Combined with weather radar equation correction and flight parameters, horizontal sector scanning and vertical sector scanning reflectivity data of airborne phased array weather radar were simulated based on new generation weather radar (CINRAD/SA) reflectivity. The results show that along the radial direction, the distance resolution of airborne phase array radar used impulse compress technology is higher than new generation weather radar and along the shear direction, because antenna gain and beam width changing with the elevation, the smooth effect of the phase array radar data is obvious and its sounding accuracy is lower than new generation weather radar. On the other hand, after adopting the echo attenuation correction method, the credibility of airborne phased array weather radar reflectivity is higher, which provides more accurate dangerous weather warning for the pilots.
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    Cited: Baidu(2)
    Parallel Radiosity Based Light Distribution Simulation within Virtual Plant Canopy
    Hou Can, Tang Liyu, Chen Chongcheng, Yang Yifei
    Journal of System Simulation    2015, 27 (10): 2337-2343.  
    Abstract161)      PDF(pc) (3639KB)(178)       Save
    Owing to the computing-cost calculation of the form factor and the radiation energy in the traditional radiosity, a new method of parallel radiosity Based on CUDA (Compute Unified Device Architecture) was proposed to improve the performance of the implementation. Specifically, the implementation processes were as follows. The detailed 3D plant canopy model was loaded in the virtual scene. The solar altitude angle, solar azimuth and the radiation intensity were estimated according to the given time and the geographic location, and the light panel was generated afterwards, which was defined as radiation source on the basis of uniform triangular subdivision. To realize the parallel computation of light distribution within the virtual plant canopy, the 3D-discrete View Factor method was used to calculate the view factor and the corresponding radiation energy based on CUDA. The experimental results show that the presented algorithm can achieve a speed-up ratio about 20 with a considerable accuracy, compared to the traditional method running in the CPU.
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    Cited: Baidu(2)
    Thermal System Modeling Based on Entropy and BP Neural Network
    Sun Hairong, Wang Rui, Geng Junya
    Journal of System Simulation    2017, 29 (1): 226-233.   DOI: 10.16182/j.issn1004731x.joss.201701030
    Abstract260)      PDF(pc) (465KB)(209)       Save
    The real-time modeling is difficult on thermal system and the model precision is not high. The convergence rate of Neural Network (NN) decreases dramatically when there are too many inputs. The BP NN modeling method based on information entropy was proposed in which the attribute reduction based on the model of approximation decision entropy was used. Field data were preprocessed by the k-means clustering algorithm and the validity was then evaluated. The approximation decision entropy was used in attribute reduction of the inputs. And the nonlinear model was built by the training of BP NN. Eventually, the proposed method was applied to the modeling of main steam temperature and the modeling of NOx emission concentration and the result shows that, the method simplified the structure of network and increased the training speed with high-precision of the model. The method is of great significance on real-time modeling and has higher practical value.
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    Cited: Baidu(2)
    Research on Control Method for Anti-ship Missiles Formation Flight
    Peng Mingxing, Wu Yunjie, Zhu Futao
    Journal of System Simulation    2017, 29 (1): 212-217.   DOI: 10.16182/j.issn1004731x.joss.201701028
    Abstract281)      PDF(pc) (368KB)(245)       Save
    To solve the formation control problem of anti-ship missiles, two approaches based on leader-followers were adopted. Leader-follower formation is a method that can control the behavior of the formation only with the behavior of leader missile, relative position between leader and followers and the control strategy of followers. This will simplify the cooperation of formation between the whole members. According to the relative position between leader-follower, the formation order was designed. Another one designed the control system based on the position of leader, followers and target. The control method can realize the formation by the simulation and study.
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    Cited: Baidu(2)
    Adaptive Traffic Signal Timing Model on Polling System and Simulation Study
    Guan Zheng, Wang Yueqiang, Qian Wenhua
    Journal of System Simulation    2015, 27 (10): 2278-2284.  
    Abstract177)      PDF(pc) (510KB)(181)       Save
    A road traffic signal timing system could be corresponds to a polling model. For a queue with a large number of vehicles, under the exhaustive service, the corresponding traffic light will state on green for a long time to empty the queue, vise engender frequent switchover. Motivated by this problem, the timing strategy with minimum and maximum green times for each phase was proposed, which was modeled as a time limited polling system, and then the average queue length at the beginning of green period was analyzed to calculate the green times by the Markova chain and Generation Function method. The effectiveness of the proposed methods was verified by the simulation.
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    Cited: Baidu(2)