Volume18  Number 3  (2006)

Title Author   Abstract
Computerized Simulation on Flow Characteristics of Variable Displacementof Balanced Vane Pump CHEN Lei, ZHANG Yin-dong, JI Yu-long, SUN Yu-qing, GUO Jing Based on the study of the patent, the configuration and the action principle of a new variable displacement of double-action vane pump is discussed, which consists of floating blocks. The pump belongs to an automotive hydraulic power steering system, and prosperous utilization is expected. In the meantime,  the mathematical model for hydraulic power steering of automobile was established. In addition the Matlab Simulink simulation model was proposed. Different parameters of pump were selected in simulating programming. The simulating results were analyzed and compared.
Analyses of Operational Effectiveness of Ocean Surveillance Satellite SHEN Ru-song, ZHANG Yu-lin To analyze operational effectiveness of ocean surveillance satellite system, the probability of identifying targets and the precision of locating targets were chosen as operational effectiveness indices of the ocean surveillance satellite system which is composed of three satellites. The probability of identifying targets model was built, another model built was the location precision model by using of measuring the time difference of arriving. The simulation and analyses was carried out. The results demonstrate that: .making use of the ocean surveillance satellite can find targets on ocean effectively, but whether to be able to identify targets effectively depends on the knowledge about targets characteristics;.increasing baseline length between the satellites rationally and maintaining uniformity of the satellites formation configuration and their relative position with target can improve the precision of locating target effectively.
Research on Damage Effectiveness of Rocket Intercepting Cruise Missile ZHANG Xue-feng, WU Ping, LE Gui-gao, DING Zhu, PAN Shu-shan A model of the damage probability of a certain rocket intercepting cruise missile was established and the corresponding simulated software was developed with Matlab language. The damage probability under condition of multiple armament datum firing and conventional concentration firing was computed respectively by using the method of Monte-Carlo. The results show that the conventional concentration firing system is higher damage probability when target diffuse is lesser and on the contrary the multiple armament datum firing system is higher damage probability. And this rocket can damage cruise missile in high probability if the target can be shot several times in its track.
Modeling of Loading and Unloading Scheduling SystemBased on Object-Oriented Timed Petri Net LIU Tao, FU Wei-ping, WANG Wen, LI De-xin, XIE Jing An Object-Oriented Timed Petri Net (OOTPN) was introduced to discuss the problem about the loading and unloading scheduling system of automatic storage/retrieval (AS/RS) modeling . At first, the scheduling elements of the system were classified and abstracted, and the objected class relation was obtained, then the Petri Net(PN) mapping relation about the object class was established. Secondly, the OOTPN model of AS/RS system was set up based on the PN relation. The system model was discomposed into six models which communicated via transitions. Token colors were properly defined so as to simplify the model. At last, the deadlock problem of the model was analyzed. The model is benefit to extended for it’s OO character and allows us to simulate in program easily.
Method to Extend Attributes of Modeling and Simulating Entities WANG Chuan-peng, LIANG Xiao-hui, XIE Ke Entity is the essential cell of the simulating system, and the main content of modeling and simulating entity is attributes of entity. By analyzing the problems in the modeling and simulating tools, a method used expediently to model and simulate entity by each user was proposed.The method resolved the problem of description and extending attributes, and also the simulating programs using this method have favorable transplantation and extendibility. The exactness of the method was proved on the aspect of theory through data mapping and semantic screening based on the entity conceptual model and simulating system conceptual model. In addition, the feasibility of it was also approved by application of the practical tools.
Modeling Simulation Systemfor Oceanic Acoustic Information Engagement with UML WANG Xi-min, CAI Zhi-ming Underwater warfare by Sonar is a key topic and major type of the oceanic acoustic information engagement. Underwater warfare simulation involving multi-targets and multi-sonars is an important way to research sonar performance in the complicated environment. Due to demands of the open frame and sophisticated feature, the simulation software was analyzed and designed by object-oriented class model. The procedure of the design relied on UML. The product of the design is well expansible and reusable.
Standard Cell Placement AlgorithmBased on Adaptive Simulated Annealing NAN Guo-fang, LI Min-qiang, KOU Ji-song A standard cell placement algorithm based on adaptive simulated annealing was proposed.Due to characters of all circuits to be placed, adaptively initial temperature and adaptive searching region were added to traditional simulated annealing algorithm. At the same time, punishment item in objective function was improved for standard cell placement problem. This algorithm was applied to test a set of benchmark circuits, and experiments show its advantages in placement results and time performance by comparing with traditional simulated annealing algorithm.
Simulation Research of Blast Furnace Based on CFD SHI Yan-bin, CHEN Ju-hua, ZHANG Li-li Based on the CFD(Computational Fluid Dynamics) technology, a two dimensional mathematical model of the blast furnace (BF) was built to simulate ironmaking process, meanwhile the multiphase fluid motion and heat transfer were considered. Phase of gas, liquid, particle and fine were included in this model, as well as simple chemical reactions. The model considered the coupling relationships of phases, so every phase could change as the changes of other phase characters. The steady velocity and temperature of per-phase described by numerical calculation are very important for BF, especially the simulation results of cohesive zone and raceway. The theory and model built here provided a helpful try for BF simulation and a new method for guidance on BF operation.
Research on Trajectory Simulation of Air Targetin Situation Assessment System SONG Yuan, ZHANG Xin-hua, GUO Hui-dong, XU Lin-zhou The validity of target kinematics behavior analysis model depends on the facility of target trajectory in situation assessment system. The trajectory theory model of air target was made up according to its basic rule of flight control. A stochastic difference equation to model the air target movement in inertial frame coordinates was introduced. A model with its statistical characteristics was dicussed in order to reflect the statistical characteristics of air target. All the factor that affected target trajectory and the control behavior of flight control staff were considered. The simulation results show that the model can reflect the kinematics behavior of air target and it can be applied in the model test of situation assessment system.
Fast Algorithm for Data Association in Dense Clutter Yuan Gang-cai, WU Yong-qiang Joint probabilistic data association is one of the most effective algorithms of multiple target tracking in dense clutter. However, with the increment of target tracked and the number of validation measurement, the computational cost of association probability is the choke point in engineering application. A fast algorithm was developed for data association based on the principle of joint probabilistic data association. In this new method, surveillance area was divided into independent area according to the intersection area of association gate of targets tracked, after the PDF value of the common measurements of targets and measurements lying in a target association gate were weighted, and the association probability of targets were computed. Without generating all the association events, this algorithm is more efficient in engineering application. Simulation results demonstrate the tracking performance of this algorithm in different conditions.
Probabilistic Data Association Algorithm Based on Techniquesfor Converting Measurements WANG Wei, LI Dan In tracking targets application with radar, target dynamics is usually modeled in the Cartesian coordinates, while target measurements are obtained in the original sensor coordinates. A new approach named probabilistic data association algorithm based on techniques for converting measurements was proposed.Filter estimate, error covariance and probability of data association relative to the algorithm were deduced, and new gating techniques for target tracking in clutters were given. Monte Carlo simulation results indicate that new approach is effective and feasible.
Support Vector Machines Classifier Based on Modifying Kernel Function FENG Jun, CHEN Zhi-jun, LI Li-rong Two novel conformal transformations were proposed based on the Riemannian geometry theory and S. Amari’s idea. And the kernel function was modified by the transformation in a data-dependent way. Our experimental results for the artificial nonlinear data set show that the generalization performance of support vector machines classifier is improved remarkably and the number of support vectors is decreased greatly.
Optimization Study on K Value of Spatial Clustering LI Yong-sen, YANG Shan-lin, MA Xi-jun, HU Xiao-xuan, CHEN Zeng-ming The value of K is always confirmed in advance to exert K-means algorithm of spatial clustering. However, it can not be clearly and easily confirmed in fact for its uncertainty. A distance cost function was recommended. A corresponding math model was set up and a new optimization algorithm of K value was designed. A preliminary study on the optimization of K value for spatial clustering was realized by a simulation design.
Annealing Evolutionary Programming Algorithm and Its Convergence GAO Yong-chao, LI Qi-qiang  Selecting pattern based on ranking in Evolutionary Programming Algorithm causes the population’s searching space to become narrower and narrower to some degree, which will result in premature convergence. To this problem, annealing probability formation was introduced into the selection of EP and a new algorithm: annealing EP (AEP) was got. Then the time-dependent Markov chains were described and the convergence of AEP was proved. It is proved that the algorithm always converges globally and the numerical test shows that AEP can converge soon and it can better avoid premature convergence and local optimum.
Synthesizing Texture Using Variant SOM XUE Feng, ZHANG You-sheng, JIANG Ju-lang, HU Min, WANG Jia-quan A technique for texture synthesis was outlined using variant Self-Organizing Feature Maps (SOM). A new method of SOM input vectors construction using corresponding gray image of input texture was proposed in which the vector dimension length is 1/3 of that in previous work of TSVQ method, then the SOM learning rule was extended to train these input vectors. Then the quantized vectors to synthesis a gray texture were used whose pixels could be finally mapped into a color output texture. Experiments show that the quality of output of the method is fine and the synthesis time can be remarkably reduced comparing to TSVQ method.
Study on Dynamic Clustering Analysis Method for Gene Expression DataBased on Multidimension Pseudo F-statistics LUO Jia-wei, LI Ren-fa, ZHANG Bai-ni K-means clustering analysis algorithm is a widely iterated algorithm in clustering analysis of gene expression data. In this algorithm, cluster number is assumed to be K and iterated methods are employed to make the value of objective function minimum. By doing so, the cluster result improves very much. However K-means clustering analysis algorithm depends on parameters strongly and the cluster number keeps unchanged.. Fake F-statistic and an idea of adjusting cluster number were dynamically introduced, and then a new dynamic K-means clustering algorithm for Genes expressed data was proposed based on multi-dimension fake F-statistic. The experiment results show that the algorithm can adjust cluster number and gain a prime number of clustering, which thus argues that this algorithm can attain better clustering quality.
Fast Identification Method of Fuzzy Neural NetworksBased on Chebyshev Basis Function JIANG Shan-he, ZHANG Jie The theory of identification model based on neural networks(NN) is to research into its capability of nonlinear approximation. Universal approximation capability of orthogonal polynomials based on NN was proposed, and with which nonlinear approximation and global optimization of this new type Chebyshev NN were proved. Then fuzzy neural networks model and learning algorithm based on Chebyshev basis functions to be used as its membership functions were proposed for non­linear system identification. As no parameters to be adjusted in the Chebyshev membership functions and just adopting BP algorithm studying parameters of fuzzy rules, the computing greatly reduced and the simple model structurethe fast convergence and the high precision of identification were obtained. The simulation results show their effectiveness of the proposed model and method.
MS-Based Study of Fundamental Analysts Forcasting Behavior PARK Jun The factors influencing fundamental analysts were analyzed during forcasting stock price. The bounded rationality of security market participants and constraints imposed by institutions were emphasized. The modling method is MS(Microscopic Simulation), and the simulation results indicate that if stocks worth investing and corporation has strong earning management capability,even if fundamental analysts can figure out real earnings, they will still use manipulated earnings to forecast stock price.
RTI Benchmark Test for Virtual Simulation Environment CHEN Xin The Benchmark Test Index was designed based on the requirement of the performances of RTI in the virtual simulation environment based on HLA. The Test Index included the scale index of federation of the RTI support, the latency index of an update or interaction between two federates, the update throughput index between two or more federates, the time index needed to advance time a specified number of units and the index above the federate in the real load run time. The test method was designed based on the designed index system. By analyzing the Benchmark Test result data that adopted the different RTI and federate development method, such as RTI architecture, threading model and pack style of data to the performances of RTI, how the different technique impacted the performances of RTIwas got and the techniques of real-time RTI were got that met to the distributed virtual simulation environment.
Design and Implication of Attack and Defense Simulation Systemfor Ballistic Missile with UML QI Zhao-hui, WANG Zu-yao, ZHANG Wei-hua, WU Qi-xing The distributing attack and defense simulation is an important means to evaluate the combat effectiveness of ballistic missile. In allusion to the typical attack and defense course of the ballistic missile, the components and functions of the attack and defense weapons were analyzed. The use case model, the structural model and the action model of the entities were visually modeled. In addition, the attack and defense simulation system of the ballistic missile was realized by the Microsoft visual c++ language. The use case provesthat UML is an essential way to design the large-scale simulation systems such as the attack and defense simulation of ballistic missile.
Design of Hardware-in-the-Loop Simulation for Navigationand Control Integrated System of Underwater Vehicle ZHANG Fu-bin, XU De-min, YAN Wei-sheng, GAO jian The project of the hardware-in-the-loop simulation was proposed based on the structure of the navigation and control integrated system for an underwater vehicle. Simulations are performed to indicate that the algorithm of the navigation and control computer is correct;  the precision in computation can meet the using requirements; and the matching capability of the hardware is good. The integrated systems of navigation and control can be applied to the underwater vehicle.
Research on Core Algorithms of Intelligent Virtual Design Methodfor Hydraulic Integrated Systems FENG Yi, TIAN Shu-jun, GAO Yan-ming, ZHANG Hong Based on the analysis of problems existed in the design of hydraulic integrated systems, a new intelligent virtual design method was proposed. With the virtual reality environment as human-computer interface, the integrated layout and connection design schemes of hydraulic manifold blocks were optimized using intelligent optimization algorithms. The frame of intelligent virtual design systems to solve this kind of restricted complex solid spacial layout problems was introduced. The core algorithms, intelligent optimization approaches and their hybrid strategies were discussed in detail. It offers theoretic basis for building hydraulic manifold blocks virtual design systems with high intelligence.
An Architecture Technical Reference Modelfor Large-scale Distributed Simulation System ZHAO Xiao-rui, GAO Xiao-guang Much more requirement is put for large-scale distributed simulation system these years, but the research on its software architecture is still very limited to support practical project. In order to define and clarify main techniques and components of the system architecture, a technique reference model (TRM) was introduced. The TRM is developed in terms of a hierarchy of components: (1) Domains: the TRM categorizes the designing work into four domains, including federated simulation, simulation model, simulation node, and simulation network; (2) Principles: principles address rationales for the TRM; (3) Technologies: technical topics that are relevant to each domain and principle. The TRM is supposed to be useful to refactory existing systems and develop next generation of systems.
Research of SGE-based Distributed Simulation Grid Framework ZHANG Chuan-fu, ZHA Ya-bing, LIU Yun-sheng, ZHANG Tong Sun Grid Engine (SGE) can be used to construct local and cluster grids. A recent research of building SGE-based distributed simulation grid framework was proposed, where simulation grid could execute HLA–based applications which were submitted to the grid by simulation users. Time management of simulation grid and task migration mechanism of simulation application were discussed. Further, checkpoint approach was adopted to implement the migration and dynamic scheduling of simulation task. The simulation grid framework supports the user-level and kernel-level checkpoint of simulation task. Specifically, the framework provides the dual channels of communication. Besides, the grid supports two modes of HLA scheduling tasks, which are differentiated according to processes and federates. Results of this study demonstrate the technical feasibility of constructing SGE-based simulation grid, and build a prototype system to execute HLA simulation tasks.
Research on Lookahead Problem in Parallel and Distributed Simulation WANG Xue-hui, LI ge, QIU Xiao-gang, HUANG Ke-di Recently, there has been a great deal of interest in parallel and distributed simulation, which runs on multiple processors to accelerate simulation. It facilitates the research of large-scale complex dynamic systems, even to explore far-ranging application spaces. However, time synchronization is one of the important factors that affect the PDS running performance.  The conception of the lookahead and the method of its selection were introduced, and then the formalized description of the lookahead was provided. Moreover, the rollback recurrence problem was researched that is likely to result from zero lookahead, and also the solution and the optimum strategy were put forward. Finally, on the basis of discussing the effect of the lookahead alteration, t a novel lookahead dynamic update algorithm in RTI was designed.
Data Interactive Methods in Distributed Warfare Simulation LIU Jie, BAI Yan-qi, SUN Hai-tao The data interactive methods in DWS in recent years were summarizedwhich are the PDU-based data interactive method and the publish-subscribe-based data interactive method. Furthermore, the defects were pointed out in such methods. Finallya new method called the mobile agent-based allodium abstracting data interactive method was put forward, and the main structure and the train of thought of the method were given out.
Logging and Replay in HLA-based Simulation System CHEN Hong, ZHOU Yi-qi, YAN Fa-yi The architectures of data logging and replay in HLA-based simulation system were analyzed. The scope and methods of simulation data logging during federation execution were researched. By storing simulation data into different tables in a database according to the different object classes and interaction classes, the efficiency of data searching was improved. Comparisons were made between the methods of online replay and offline replay, and the way of implementing online replay was presented in detail. According to the methods of federates’ logical time advancement during excise, the way for synchrony of federates during replay were proposed.
A Novel Ring Topology Formation Protocol of Bluetooth Networksand Its Simulations FU Bin, LI Ren-fa, XIAO Xiong-ren

Based on the characteristics of Bluetooth based ad hoc networks, a distributed ring topology formation algorithm is proposed. The main idea is merging nodes to forming a ring topology network that new nodes can join freely. The protocol has the properties of less topology formation latency and less control messages. The complexity of the control messages is

O(N). It also forms a network with less piconets number and lower nodes degree. It contains at most  piconets and at least  piconets. The maximum node degree is 2. The experiments based on the NS2, simulation

evaluates the performance of the protocol, which validates the desirable features of the ring Bluetooth networks.
Research on Simulation of Very High Frequency Data Link Network Mode 2 WANG Xiao-lin, ZHANG Xue-jun, JIA Xu-guang Results of modeling and simulation of an aeronautical subnetwork, Very High Frequency Data Link Mode 2(VDLM2), were proposed using OPNET Modeler. Protocol modelers and simulation framework were developed successfully. The simulation analyzed the network performance as throughput and peer-to-peer delay influenced by application features and aircraft quantity, and finally found the best network performance parameters.

Research on Multibody Dynamics Simulation Model

Based on Virtual Prototype Implemented by Component
WANG Ting, DING Guo-fu, ZHANG Wei-hua, YAN Kai-yin, XU Ming-heng By analyzing solving model characteristic of mechanical multibody dynamics, building mechanical virtual prototype was studied based on component, at the same time, building solving simulation model of multibody dynamics in MVC design pattern was proposed. Separating solving logic from multibody dynamics model,  the consistency of status of constraint and force element component was achieved in multibody dynamics system simulation. Configuration of component and simulation scheme in varies solving logic was optimized, and make it was made concurrent developing and simulation convenient based on component. Building mechanical virtual prototype in MVC simulation model of multibody dynamics based on component, solution presented is realizable.
Survey on Key Techniques of Virtual Assembly ZHENG YiNING Ru-xinLIU Jian-huaDU Long Virtual Assembly, which is a key element of Virtual Manufacturing (VM), realizes two levels mapping. The bottom level mapping is from product physical model to product virtual model and the top level mapping is from real physical assembly process to virtual assembly simulation process. Virtual Assembly key techniques include: collision detection, part modeling and data exchange/integration, assembly planning, motion navigation and accurate location based on constraints, deformable part assembly, knowledge extraction and application, assembly evaluation and verification, et al. A survey on the present situation of these techniques was proposed. The current deficits and the future research trends were discussed and analyzed based on the survey.
Efficient Inverse Image Warping Based on Spatial Continuity TANG Yang, WU Hui-zhong, XIAO Fu, XIAO Liang As one of the basic algorithms of image-based rendering, the inverse image warping efficiently solves the problems caused by forward image warping, however,it has the bottle-neck of low performance. A novel inverse image warping method was proposed, which took the advantages of the spatial continuity of the scene and reduced the searching length from image’s size to stencil’s radius. Also, for those desired pixels unfit for stencil cutting, another optimized way was described then. The presented algorithm is simple and easy to be implemented, which can enormously reduce the computation complexity and dramatically accelerate the traditional methods through experiments.
Design and Implement of Terrain &Object Simulationand Editing Visually Kit SHI Song, CHEN Chong-cheng, WANG Qin-Min, YAO Lin-qiang errain is the carrier of virtual environment, and it is also the groundwork of constructing model in Synthetic Natural Environment (SNE). In SNE, the goal of modeling is not only restoring environment elements truly such as terrain but also constructing the multi-level interaction channels. Editing and analysis is an important level of the channel. In the guidance of this idea, a kit named TEVS was developed. At the same time, an approach for editing and analyzing the model was explored. A division of interaction behave levels between human and virtual environment was presented. From low to high, They are data level, analysis level and collaboration level in order. The non-sequence environment elements should be organized sequentially and controllability in SNE. Human can implement the interaction with virtual environment sequentially and harmoniously on this base.
Simple and Effective Simulation Algorithmfor Missile Flying Trail Fire MA Deng-wuYE WenDENG Jian-qiuQU Xiao-yan A simple and effective simulation algorithm for missile flying trail fire was proposed because the calculative quantity and real-time capability are a great disadvantage for the algorithm based on traditional particle system. The algorithm combined particle system algorithm and texture mapping method by making use of the fundamental of particle system and creating texture map of the quadrangle. The algorithm reduced the calculative quantity and promoted the real-time capability.
Simulation of Changes of Gun Pressure Based on OpenGL WEI Wei-bo, RUI Xiao-ting, LIU Jun, YUN Lai-feng, CHEN Tao The change process of gun pressure in the interior ballistics process was analyzed, and the method of how to get the pressure data and the process of how to fulfill the simulation with OpenGL step by step were introduced, and then some simulation results were given. It is intuitive to observe the change process of gun pressure with the simulation results.
A Survey of Virtual Hairy Brush MAO Guo-hong, ZHANG Jun-song, HE Xing-heng Chinese hairy brush does a very important role in inheriting the traditional culture of China. Since Strassmann from MIT Media Laboratory proposed the first hairy brush model in 1986, more and more researches have been focused on the modeling of virtual hairy brush. These researches were mainly on how to simulate the art effect and shape of the traditional hairy brush. Most of virtual brush models proposed in the latest 20 years were reviewed, and several classical models such as Srassmann’s model, elastic mechanics-based model, body-based model, physically-based model and pure parameterized model were analysed in detail, and the thinking in these models was summed up. Two corresponding issues to model the hairy brush, namely the interaction between hairy brush and paper, and the simulation of ink diffusion effect were also discussed. Subsequently, the future developing directions concerned with the virtual hairy brush were forecasted.
Collision Detection for Simulation Training Systemof Explosive Ordnance Disposal DING Wei-liHAO Ying-mingZHU FengQIN Li-juanLIU Xiao-min Efficient and exact collision detection is very important to improve reality and enhance immersion for virtual reality system, but limited collision detection methods are provided by Vega. In order to improve real-time and precision of collision detection, some new methods were developed such as setting mask partlyloading isectors dynamicallysetting isectors in some special parts where collision occurs frequently and introducing distance gene. The collision detection problems in Explosive Ordnance Disposal simulation training system were solved using these methods, and results demonstrate methods’ effectiveness.
Analysis of First-order Fractal Fuzzy Filter in Time Series Process OUYANG Wen, HE You, FANG Wei First-order fractal fuzzy control filter is a kind of adaptive filter, and it adjusts its performance by changing control parameter according to the change of fractal property of noisy signal, and can be used in time series processing. The frequency-magnitude response of the fractal filter and the change of fractal box dimension of white noise and color noise are analyzed. The definition of short-time fractal box dimension and the fuzzy control function of the filter are discussed. Simulation results of a low frequency signal mixed with noise processed by the filter show that the fuzzy control filter can enhance signal-to-noise ratio and has less mean-square error than that of fixed filter; Nevertheless, the oversimplified structure and the inaccurate application of the fractal character of time series degrade the performance of the filter. The improvement approaches as adoption of new architecture, multifractal character of noise, neural network and table-looking methods in choosing control function are presented at last.
Simulation Study of Active ControlBased on Quadratic Stabilization Algorithm ZHANG Wei-jing, YAN Wei-ming, QIAN Jia-ru The application of quadratic stabilization algorithm to civil engineering structures under earthquake excitation was proposed. Two MDOF buildings with various control systems respectively under earth excitation were analyzed using this method. The simulation results show that not only is the presented method effective in reducing the response quantities of the seismic-excited buildings but the method is robust as well.
Simulation Analysis of the Non-isomorphic Configurationsfor a Novel Link-type Reconfigurable Modular Robot LIU Jin-guo, WANG Yue-chao, LI Bin, MA Shu-gen Reconfigurable modular robot has various configurations to adapt to the environment and the task. As the module increases, the non-isomorphic configurations increase exponentially. A novel link-type reconfigurable modular robot has been proposed and its module number can be chosen randomly. The relative position of the adjacent modules can be changed through rotation of the offset joints. The link-type structure is manually reconfigurable and can shape shifting autonomously. Configuration matrices have been proposed to represent the topology configurations of the reconfigurable module robot. The robot’s configuration can be equivalently displayed in the simulation workspace.  According to combination principle, recursive algorithm has been proposed to enumerate and decide the non-isomorphic configurations and non-isomorphic symmetry configurations. Four-module and five-module robots’ symmetry configurations have been designed and testified the simulation algorithm’s validity.
Speed Estimation of Induction MachinesBased on Unscented Kalman Filter LI Jie, ZHONG Yan-ru With the aid of simulations, speed estimation of induction machines based on the new member of the Kalman filter family — Unscented Kalman Filter (UKF) was discussed in depth. The effect of the sampling time and the parameters of the filter upon the speed estimation performances were analyzed, and the various aspects of the speed estimation performances of the UKF, such as stationary error, dynamic response speed, parameter sensitivities and algorithm complexity were evaluated. And the comparison between the UKF and the classical EKF was performed from every side. The simulation results show that the UKF can not replace the EKF with the expected outstanding advantages for the speed estimation of induction machines.
Adaptive Algorithm of Learning Ratefor Feedforward Neural Network LIU Qiao-ge, FU Meng-yin, DENG Zhi-hong The learning rate is an important parameter for the learning process of a neural network (NN) which influents the stability and quickness of the NN. An adaptive algorithm of learning rate was proposed which satisfied the real-time requirement of the NN. The stability of the NN with such learning rate was proved in Lyapunov stability sense. By adding an amending part to the output of the NN to compensate, the influence of many unknown factors on the learning error, the method to adapt the learning rate was constructed, which could make the learning error converge quickly and stably. Simulation results show the efficiency of the algorithm.
Outdoor Natural Environment Oriented Vision Simulation Systemof Mobile Robot ZHANG Hao-feng, ZHAO Chun-xia, WANG Xiao-li, LI Bai-yun, CHENG Wei-ming, LIU Hua-jun Vision based road following and navigation are important parts of intelligent mobile robot. CCD Color Camera, Laser Radar, and Stereo Vision were researched and simulated. CCD Camera was simulated through setting the parameters of view volume in OpenGL, intercepting and saving the pixels of the screen. Ray-tracing method was used to simulate the Laser Radar, and by acquiring the data from the scene, Stereo Vision was simulated. The system is able to simulate the acquired data of sensors truly when mobile robot is moving. Using the data provided by the system, the algorithms of fusion and plan modules were able to be designed.
Composite Control Strategy Based on Shunting Model PIDand Robust Compensative Controller Zhang Hui-di , Liu Shi-rong , Simon X. Yang A novel composite control strategy based on a shunting model PID and a compensative controller was developed for a class of nonlinear systems. The proposed controller has some excellent characteristics, such as nonlinear filtering, gain auto-regulation and robustness. Because the output of shunting model is stable, bounded and smooth, it is used to construct the PID controller with bounded and smoothed output and gain auto-regulation. This kind of controller can be employed in designing a class of safe control systems. The shunting model based PID controller is integrated with a robust compensative controller so that it could effectively solve the robust control problem for a class of nonlinear systems with parametric uncertainty. By the simulation study of an inverted pendulum control, the effectiveness of the proposed control strategy