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Title
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Author
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Abstract
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The
Progress of Computer Supported Hazard Assessment in Process
Industry
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WU
Chong-guang,
XIA Tao, ZHANG Hai-feng, MU Shan-jun,JIANG
Chun-ming, ZHANG Bei-ke, LI An-feng
|
Process
industry involves a wide scope of area and it is also an extra
hazardous industry. Because of
its significance in eliminating hazard and risk in
process plant, the hazard assessment plays a very important role
in the new international safety standard. The current technique
of process hazard assessment and its necessity are described.
The progress of computer supported (aided) hazard
identification, hazard and reliability analysis are also
introduced. In recent years, the dynamic modeling and simulation
based process hazard assessment have been developed rapidly. The
stages of development, the key techniques and the applications
of simulation based hazard assessment discussed. For the special
advantage of simulation technology, it is becoming a powerful
tool for process hazard assessment. Finally, some disadvantages
of current computer supported hazard assessment technology and
the future directions are discussed
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The
Study of Conceptual Model in Simulation Modeling
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ZHAO
Xin-jun,
WANG Xing-ren, GONG Guang-hong
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Modeling
technology is one of the core technologies in system simulation.
As the complexity of the system simulation becomes stronger, how
to plan and realize model efficiently has become a big problem
in the modeling of system simulation. It is brought forward the
conceptual model in simulation modeling, SimE-R, which offers a
scientific and effective method to model in system simulation in
top level
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Multivariate
Autoregressive Model in Time Series for Movement State of Naval
Vessel
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LI
Hui
, WU
Guo-fu,
QI Quan-yue
|
Because
of many stochastic factors, the movement state of naval vessel
can be considered as a complicated dynamical system. In this
paper, the Multivariate Autoregressive Model (MARM) in time
series is applied to set up the movement state of naval vessel.
A real example and it's dynamic forecast are given
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Simulation
of Complex Temperature Field Reconstruction Algorithm Based on
Curved Paths
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TIAN
Feng，SHAO
Fu-qun，WANG
Fu-li,
CHEN Song
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Based
on least-square- method and Fermat principle, the affect of
sound wave refraction on the reconstruction of temperature field
of industrial furnaces is studied and a new algorithm for
reconstructing temperature field is proposed. After the
algorithm is used to reconstruct different kind of temperature
field distribution, the conclusion can be drawn that the
newly-proposed algorithm can compensate sound wave refraction
and reconstruct temperature field simultaneously with better
reconstruction accuracy.
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The
Virtual Prototype Solid Modeling and Analysis of Ground Rocket
Experiment System
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LIU
Yong-hong,
REN Gong-chang, WANG Bu-kang, ZHANG You-yun
|
A
virtual prototype solid modeling of ground rocket experiment
system has been built in high performance workstation according
to its physical model. 5th class rail surface
spectrum has been employed to carry through the virtual system
experiment on the ADAMS platform. The experiment data and
physical geometry structure influence factor obtained from the
system provide basic theory and technical support for the design
of ground rocket experiment system. The result shows that the
test rig data in virtual prototype of digital model is
consistent with physical ground rocket experiment system and the
virtual system could substitute real experiment in some extent
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A
New Method for Simulating the Dynamic Tire Forces
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REN
Wei-qun, ZHANG Yun-qing, JIN Guo-dong
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In
assessing the vehicle features related to the road damage, the
prediction of dynamic tire forces is one of the most important
processes. A new simulating method for predicting the dynamic
tire forces has been developed as an application of Multi-Body
System (MBS) dynamics theory, and the corresponding software
ADAMS has been employed to model the nonlinear vehicle in more
detail. Then the simulated dynamic tire forces has been
validated by the test data, and been compared to the former
simple models.
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Initial
Study on Key Technology of Physical Simulation of Numerically
Controlled Machining
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SHENG
Liang,
LIAO Wen-he
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NC
simulation is a key research subject of CAD/CAM, and at present
it is mainly on geometrical simulation. For the development and
maturity of the technology of geometrical simulation, physical
simulation should be on the agenda for furthering the research
of NC simulation. The paper describes the functions that a
system of physical simulation should have, including seeing,
hearing and feeling, and describes how to implement the physical
simulation, by building respective databases of model of tools,
clamps, material, roughness and precision, and random events.
Difficulties are listed at the end of the paper, as well as the
perspective of physical simulation of NC machining
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Discussion
on Object-Oriented Modeling of Flight System Simulation
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LI
Jia-lin,
DONG Jie
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For
the sake of complexity of modern fighter system and variety of
simulation task, reusability of flight simulation software
designed by traditional software design methods is low. This
paper researches constructing method of fighter flight
simulation, in the meanwhile, designs the minimum-limited flight
simulation object which has good reusability, which based on the
combination of the objected technology and the modular design
method. The simulation experience proves the feasibility and
effectiveness of the object-oriented fighter flight simulation
given in the article.
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Hybrid
System Model Predictive Control and Simulation Based on Mixed
Programming with Visual C++ and Matlab
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LI
Xiu-gai,
GAO Dong-jie
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Modeling
strategy based on Integrating Mixed Logic Dynamic has been
deeply analyzed. Model predictive control with changeable output
weight matrix algorithm is developed. Simulation results show
the validity of this algorithm. Simulation platform based on
mixed programming between Visual C++ and Matlab is presented,
which provides an effective way to put this algorithm into
engineering application.
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Study
on the Simulation and Evaluation of Forestry Ecosystem Health of
Quercus Liaotungensis in Donglingshan
|
CONG
Pei-tong,
WANG Rui-lan, WANG Shan-lin, FU Yu-jie, ZU
Yuan-gang
|
This
paper introduced a model of healthiness evaluation of ecological
system, discussed the method and rule of healthiness evaluation
by perceptron of artificial neural network, and the expression
on healthiness grade of ecological system. In an example, based
on the characteristics of structure, function, environment
adaptability and feature of system service, a artificial neural
network simulation system was established to evaluate the
healthiness grade of Quercus liaotungensis forest ecological
system in Dongling mountain. abundance elevation hill mass much
quantity volume . The healthiness grade was evaluated according
to criteria of soil moisture, content of soil organic material,
relative species abundance, diversity index in each sample, and
reproduce the healthiness simulation process of ecological
system digitally and visually.
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An
Algorithm for Deformable Model Based on Finite Element
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WU
Peng,
LV Shi-ming
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The
concern of this paper is focused on the applications of
industrial color matching. First, two basic Computer Color
Matching(CCM) theories, the tristimulus value method and the
color material mixing method, are discussed. Then the
disadvantages of the color material mixing based textile
coloration method are analyzed. A new algorithm is presented to
solve those problems, which has been used in coating color
matching industry. Simulation results show that it can calculate
accurately and reduce the color difference of formula
effectively.
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Weighted
Criterion Used in System Identification of Model Helicopter’s
Yaw Dynamics
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CHEN
Hao-sheng,
CHEN Da-rong, WANG Jia-dao
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Because
of the characteristics of the data based on the operator’s
control, multi-experiment data are needed when identifying a
model helicopter’s yaw dynamics. In order to strengthen the
dynamic information and reduce the effect of the noise, a kind
of least square method is investigated to estimate the system
parameters using a weighted criterion. When calculating the
weighted factors, a single neuron is trained to determine the
factors of the criterion. The result of the identification shows
that the simulated outputs derived by the least square method
using the weighted criterion can fit the measured outputs well.
The result also suggests that this method would be a good way to
process the multi-experiment data.
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Data
Representation and Parallel Processing in Computer Simulation
for Biological Neural Networks
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CHEN
Hou-jin, YUAN Bao-zong
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Biological
neural
networks (BNN) have the ability to process information and
generate a specific pattern of electrical activity. In the
biology it is significant to understand the mechanism of
generating and transmitting the information. As there exists
complicated nonlinear feedbacks inside the neural networks, it
is very difficult to make all possible experiments on it.
Through integrating information science into biology, combining
mathematical models with experiment data, one computer
simulation system was established. In the simulation system,
object-oriented data representation was presented, and parallel
processing was implemented, which greatly improved its
efficiency. It has been widely applied in research institutes
and universities of many countries.
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Immersive
Scientific Visualization with Realistic Geometry
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BAO
Jin-song,
JIN Ye,
MA Deng-zhe,
Yan Jun-qi
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Scientific
visualization provides a very efficient way to have an insight
into the performance of products. While our ability to simulate
or use increasingly numerous and refined sensors to produce ever
larger data sets outstrips our ability to understand the data.
Computational scientists observe and manipulate datasets with
simple model and environment so that the ability of insight into
the physical phenomena and product performances are limited. In
this paper we present a new visualization method for combining
the VR, scientific visualization and realistic geometry
technology. We are developing a visualization tool which
incorporates virtual reality techniques of the interactive
exploration of large scientific datasets. Meanwhile, the paper
establishes the framework of system and lays out the pipeline of
visualization with virtual scene tree. Finally, the paper
studies the enabling technologies, presents prototype system
based on Powerwall system and applies it into engineering.
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Ordinary
Differential Equations and the Roots of the Algebraic Equations
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YUAN
Zhao-ding,
SONG Xiao-qiu
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The
connection of ordinary differential equation and the roots of
the algebraic equations is discussed in this paper. A
relationship between solutions of a sort of ordinary
differential equations and the roots of the algebraic equations is
established, by which
all real roots of an algebraic equation using wide initial
values can be found via ordinary differential equation solution.
Some interesting circumstances of numerical solution of these
equations are discussed in detail.
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Stability
Analysis for a Class of Parallel Combined Multi-rate Methods
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JIA
Zhi-dong
|
This
paper explores the stability for a class of parallel combined
multi-rate methods solving partitioned ODEs in terms of the
quantitative and qualitative properties. The theoretical
analysis shows that the stability interval should be substituted
for the concept of the stability region, and furthermore the
existence of stability interval is proven
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Research
on Key Technology of NC Lathing Simulation with Twin-turret
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WANG
Qian-ting,
GUI Gui-sheng, JIANG Ji-bin, MENG Bing
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Reverse
reading technology of NC codes used in lathing simulation with
twin–turret is discussed, with the presentation of compiling
NC codes to machining information, motion information and other
instruction, which are the input of simulation system. Core
Key
technology of lathing simulation is presented, and their
formulae are deduced. By an example of
train wheel strake
of train, the calculation and realization means of
verification of interferer, operation planning and evaluation of
interrupt are explained, which ensure the success of tentative
cutting in one time.
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Based
Air-Floating Platform Simulation Technology
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LI
Huai-feng,
HAN Jian-guo, LI Yan-qin, JIN Sheng-zhen
|
Through
the analysis of moments and disturbing factors in the
control system, a method of simulation of Air-Floating-Platform
with higher frequency is introduced. In the simulation process
the vibration of the Air-Floating Platform is produced by
electro-magnetism oscillator and at the same time the center of
vibration is controlled through a feedback-filtering-PID
controller. The main parameter is deduced, and the result of
experiment is analyzed. This technique can be applied to many
domains related with one-dimensional
angle-displacement-vibration simulation.
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Research
of DDM in
High
Level Architecture
|
ZHANG
Xia , HUANG Sha-bai
|
This
paper introduces the composition of High Level Architecture and
the basic functions of Data Distribution Management in HLA; the
several current implementation approaches of DDM are studied and
analyzed. A Mobile Agent-based filtering, the newest developed
approach, is introduced and analyzed especially, and the authors
give an improved idea of using CORBA technology.
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A
Method of Fast Reroute for MPLS-Based Traffic Engineering
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ZHAO
Shui-ning, SHAO Jun-li, ZHAO Wei
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Rerouting
is the main method to adjust traffic distribution in Internet
Traffic Engineering. On the basis of
analysis on IETF’s semi-standard fast reroute
algorithm, the paper gives a new fast reroute algorithm NEW-FR
on MPLS-based traffic engineering and its simulation. The result
shows that NEW-FR has many advantages as follow: removing the
case of double shares of resource occupied between a pair of
nodes without shared links, reducing disordering of packets at
one time and switch over delay for reroute, and quickening the
speed of reroute.
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Exponential
Acceleration/Deceleration Algorithm Simulation Based on Digital
Signal Processor
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KANG
Jian，TAO-Tao，MEI
Xue-song，WU
Xu-tang
|
By
analyzing the theory of exponential acceleration and
deceleration control, software acceleration/deceleration
equations in discrete-time domain are derived and improved. A
multiple axes motion controller based on a DSP (Digital Signal
Processor) is developed in order to implement the algorithm.
Comparisons between simulation results of MATALAB and
experimental results of measuring motion controller output
voltage demonstrate that the improved exponential
acceleration/deceleration algorithm in this paper will be of
practical significance to CNC machining.
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Prioritized
iSLIP Algorithm and Simulation
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XU
Bo
|
The
iSLIP algorithm is a classical scheduling algorithm which is
used to solve the scheduling problem in switch fabric of
high-speed routers. Many researchers focus on providing QOS
guarantees in high-speed routers. Prioritized iSLIP algorithm
classifies packets based on priorities of packets and provides
class-based QOS guarantees. This paper makes some simulation
researches and proves prioritized iSLIP algorithm can provide
QOS guarantees to some better degree.
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Simulation
Research about a Kind of Direct Current Speed Regulation System
Suitable for Electric Vehicles
|
ZHU
Xiao-gang,
CAO Bing-gang ,LI
Jing-cheng
,
KANG Long-yun
|
According
to the deficiency of the voltage closed-loop speed regulation
system with the end current, and on the basis of improving the
primary system, this paper puts forward a new kind of direct
current speed regulation system based on voltage control
strategy: voltage/current double-closed-loop direct current
speed regulation system. The principle of work about the system
is analysed particularly in this paper, and at the same time,
the simulation research is performed between the improved system
and the primary system. The result of simulation indicates that
the dynamic capability of the improved system, especially the
jump-start capability has been improved.
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Research
and Simulation of Image Coding Based on Integer Wavelet
Transform
|
ZHANG
Li-bao，WANG
Ke
|
After
image tiling, by combining integer square quantization threshold
coding algorithm and context-based zerotree coding together, it
is presented in this paper an algorithm called ISCZ, which is a
novel context-based zerotree coding algorithm based on Integer
wavelet transform (IWT) and integer square quantization
threshold. ISCZ algorithm not only shortens the distances among
quantization thresholds and improves the quantity of zerotree,
but also exploits the correlation among zerotree symbols. So the
problem of the worse energy compaction of (5,3)-IWT based on
lifting scheme is resolved. Experiments results demonstrate that
ISCZ performs better compression than the existing wavelet image
compression algorithms
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Fault
Diagnosis Reasoning Based on Integration of Qualitative
Reasoning and Quantitative Simulation
|
LIU
Hong-gang,
WU Jian-jun, CHEN Qi-zhi
|
The
concept, kind and relation of knowledge in fault diagnosis are
described firstly, then the integration of qualitative and
quantitative knowledge is discussed in the aspects of
acquisition, management and expression. Secondly, an integrated
diagnosis inference method is proposed based on the integration
of qualitative reasoning and quantitative simulation. Simulation
results with the test-fire data of complicate systems show that,
the method proposed can eliminate ambiguity in reasoning results
effectively and thus improves the performance of qualitative
reasoning methods.
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|
Simulation
Analysis of Low-DOF Serial Manipulators
|
HU
Zhun-qing，FANG
Hai-rong ，FANG
Yue-fa
|
An
exact velocity inverse method for n-DOF(n<6) serial
manipulators is presented.
For this kind of low-DOF manipulators, the independent
controllable variables in the Cartesian space must equal the
joint variables in the joint space, and the remaining (6-n)
Cartesian variables will linearly depend on these independent
variables. The theory of reciprocal screws is used to determine
the independent controllable variables in the Cartesian space,
and the mapping between the controllable velocity components in
the Cartesian space and the joint variables in the joint space
is remodeled and becomes uniquely defined. A numerical
simulation example in which the end effector of a 4-DOF
manipulator is commanded to demonstrate the effectiveness of
this methodology.
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|
Modeling
for Energy Consumption of Wireless Network Interface Card and
Its Realization in GloMoSim
|
LI
Ning,
WANG Xiao-wei, ZHENG Shao-ren
|
Based
on actual measurement results of the power consumed by laptop
wireless network interface card under various working modes, an
energy consumption model is proposed. How to realize it in
GloMoSim is also introduced. This model can be widely used in
researches on node energy consumption in ad hoc networks. With
the new model, simulation results on IEEE 802.11 protocol with
power saving mode show that when there are many flows in the
network and the traffic load is rather heavy, this protocol
cannot save energy and needs further improvements.
|
|
A
Novel Scheme for Enhancing Underwater Target-Radiated Sinusoids
in Rayleigh Noise
|
GUO
Ye-cai,
ZHAO Jun-wei
|
To
improve the ability to detect the underwater target, it is
necessary to enhance the underwater target-radiated sinusoids in
colored non-gaussian or gaussian additive noise. In this paper,
a higher order cumulant based generalized function iterative
adaptive filtering (HOCBGFIAF) scheme is suggested to suppress
additive colored noise, thus enhancing underwater
target-radiated signal spectral peaks due to the sinusoids. In
this scheme, the particular functions of the input signals
(sinusoids plus colored additive noise) are defined as a type of
generalized functions and the higher order cumulants are updated
by these functions such as particular functional first monomial
expression (PFFME), particular functional cubic monomial
expression (PFCME), the sign of particular functional cubic
monomial expression (sign-PFCME) and particular functional cubic
polynomial expression (PFCPE). The convergence and computational
load of the proposed algorithm are analyzed. The spectral
enhancement has been simulated using the underwater
target-radiated sinusoids plus colored Rayleigh noise. The
results have shown that the proposed algorithm is capable of
holding colored Rayleigh noise and outperforms leakage least
mean square based adaptive line enhancer (LLMSBALE ) in the case
of colored Rayleigh noise.
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Research
of Control Strategy of Fuel Cell Electric Vehicle Simulation
|
ZHAO
Ying-jie, LIU Yong-wen, SU Ming, YANG Wen-bin
|
Nowadays,
Fuel Cell Electric Vehicle (FCEV) has become a deeply researched
field both inland and overseas. The control strategy is a key to
exert the advantages of FCEV. The deference between FCEV and
traditional vehicles is compared, and, in theory, how FCEV
distributes energy and how it controls the whole system are also
analyzed. Moreover, a system model of FCEV with SIMULINK is
built and simulated. The control strategy is proved through the
analysis of simulation result
|
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Fuzzy
Controller Design and Simulation for Servo System
|
NIU
Quan-min，HUANG
Dao-min，ZHANG
Bo
|
The
synchronous subsystem is the important unit in radar system. It
moves the bias coil of plane position indicator to rotate
synchronously with radar antenna in order to measure the target
position precisely. It is the typical position servo system. In
actual equipment, this system adopts the analogue adjustor which
results in a series of disadvantages such as inconvenient
parameter adjusting, poor dynamic character low following
accuracy. So it is necessary to rebuild the used system using modern control theories. Based on the
model of alternate motor, this paper applies digital PID and
fuzzy control strategies on radar synchronous system and
discusses the advantages of the later through simulation
analysis.
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|
Freeway
Incident Detection Based on OLS and RBF Neural Networks
|
YANG
Yao-hua, LI Xin, JIANG Fang-ze
|
Freeway
incidents are non-recurrent and pseudorandom events that disrupt
the normal flow of traffic and create a bottleneck in the road
network. Quick and reliable incidents detection is essential to
reduce traffic delays, ensure road safety and protect
environment. This paper presents a new hybrid intelligence
algorithm for automatically detecting freeway incidents, which
employs fuzzy clustering and RBF neural computing technique. An
improved OLS(Orthogonal Least Squares) selection algorithm for
training RBF neural networks is also proposed. The simulation
results illustrate that the improved OLS selection algorithm
accelerates the training of the RBF neural networks
substantially and there is no need to decide the number of RBF
centers in advance. The satisfactory performance could be
achieved by using this algorithm in freeway incidents detection.
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Wavelet-based
Adaptive Deconvolution Filter
|
LIU
Tie-nan，REN
Wei-jian，XIE
Ai-hua，FENG
zhao-bing，ZHANG
Hang
|
In
order to heighten the precision of signal processing, a
wavelet-based adaptive deconvolution filter is presented by
hybridizing the least mean square filter, the Kalman filter and
the wavelet transform. A lot of simulated experiments have been carried
out by using the scheme. The results show that the filter
can track the reflection coefficient signals and cancel the high
frequency noises, and that
the average relative errors
rate is
within 1%. This indicates that the scheme is very efficient.
|
|
A
Strategy of Neural Network Predictive
Control with Constraints
|
ZHOU
Li-hui, HAN Pu, SUN Hai-rong
|
For
the control
of nonlinear
system, a neural
network predictive
control strategy
based on Golden
Section Algorithm is presented. The neural
network is used as predictive
model. Golden Section is used in the optimization of controller.
The variable searching region is set by the constraints
of system inputs.
The strategy can be used to unknown
nonlinear systems with control variable constraints of range and
rate. Computer simulation results demonstrate the
calculate speed, stability and the ability to restrain disturb.
|
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The
Design and Simulation of a Self-Tuning Predictive Control
|
CHENG
Hong-liang, ZHANG Guo-xian, BAO Hai-kun
|
Because
of the contradiction of resisting disturbance, robustness and
real time, in view of the powerful abilities of self-adapting,
learning, remembering , non-linear mapping and robustness of
neutral network optimized by genetic algorithm, the article puts
forward a new self-tuning predictive control ,which succeeds in
avoiding evaluating the inverse matrix on-line. The results of
simulation show that the algorithm has better integrative
performances and robustness.
|
|
Sliding-mode
Fuzzy Dynamic Weighting Control
for a Class of Nonlinear Systems
|
LIU
Diantong, YI Jianqiang, TAN Min
|
A
sliding-mode fuzzy dynamic weighting control approach is
proposed for a class of nonlinear systems. In this approach,
sliding-mode fuzzy controllers are designed for each sub-system
in the nonlinear system, and the functions of those sliding-mode
fuzzy controllers are real-time tuned in system control by fuzzy
inferences。Overhead
crane control system is used to illustrate the effectiveness of
proposed approach.
|
|
Design
and Simulation of the Adaptive Fuzzy Control System
for
the Inverted Pendulum Using the Simulink
|
ZHANG Shao-de
|
In
this paper an artificial model of the inverted pendulum is
established using dynamical principle. An approach to identify
the parameter of the T-S fuzzy model in terms of its input and
output testing data is investigated and a control scheme based
on inverse fuzzy model is proposed. Based on these, the dynamic
model and adaptive fuzzy control system of the inverted pendulum
is designed under the environment of Matlab Simulink. The
experimental results show the effectiveness of the control
scheme.
|
|
Design
and Simulation of an Adaptive Dynamic Inversion Control System
with Pseudo Control Compensation
|
ZHU
Jia-qiang，GUO
Suo-feng
|
Pseudo-Control
Compensation is investigated in this paper, which has been used
to resolve actuator saturation in adaptive control. The base
control law is designed in dynamic inversion and neural networks
are used to reconstruct inversion error. Pseudo-Control
Compensation cancel the interaction between the actuator and the
adaptive factor. Simulations of super-maneuvering flight control
show that limitation of needing accurate mathematical model in
dynamic inversion method can be released and actuator affects on
adaptive factor is removed in this control structure, and that
the robustness of the whole system is greatly improved.
|
|
An
Adaptive Fuzzy Identification Method Based_ on Fuzzy Neural
Network
|
JIANG
Shan-he,
SHEN Dong-ri, CHEN Yi-jun
|
In
accordance with modified T-S model, this paper proposes an
adaptive Fuzzy Neural Network model. First, this network is
utilized to determine the fuzzy space structure of system and
the number of fuzzy rules based on fuzzy competitive learning
algorithm and obtains the fitness degree of every rule contrast
relative to every sample. Further, the parameters of AFNN are
on-line identified by means of Kalman filtering algorithm. The
proposed AFNN has the simple model structure、,
the ability of universal approaching and improves greatly the
precision of identification. The identified fuzzy model has the
advantages of simplicity and effectiveness. The AFNN is applied
to the fuzzy identification for a nonlinear system and the
simulation results demonstrate the effectiveness of the proposed
method.
|
|
Predicting
Reservoir Water Saturation Based on Fuzzy Neural Networks
|
ZENG
Xian-hua,
GENG Xin-yu, HUANG Xiao-yan
|
A
kind of improved Compensation Fuzzy Neural Networks can
impersonate the advantages of fuzzy system with ability to be
prone to express knowledge and the advantages of neural networks
with fairly strong self-adaptive ability. Then, a mechanism that
can dynamically adjust the learning step is presented. So the
sway phenomenon can be minimized and the learning step can be
quickly speeded. Finally, the system is applied to predicting
reservoir water saturation in logging interpretation of oil
field. The result of experiment is satisfying. Compared to
conventional neural networks, the convergence speed and the
error precision are improved a lot. Practice has proved that the
method is worth further extending.
|
|
The
Design of Maximum Power Point Tracker for Solar Car
|
ZHAO
Jian-fei，CAO
Bing-gang，KANG
Long-yun，ZHANG
Zheng
|
Based
on the working principle of solar panel, according to the
requirements for the energy control system of solar car, the
maximum power point tracking control strategies are presented
and improved. The best strategy for electrical vehicle is
acquired by computer simulation in static and variable
environments. In the end, the hardware of the maximum power
point tracker is designed.
|
|
Self-adjusting
Nonlinear Genetic Algorithm
|
CUI
Zhi-hua,
ZENG Jian-chao, XU Yu-bin
|
Through
mechanism analysis of Simple Genetic Algorithm(SGA), every
genetic operator of SGA can be considered as a linear
transformation to the corresponding individuals. So, by
modifying the traditional genetic operators, the nonlinear
genetic algorithm(NGA) is introduced. In this paper, a linear
equivalent representation of crossover, mutation and selection
operators is introduced, in which, the normalized mapping f
plays an important role and the calculation efficiency can be
greatly affected. According to the above method, the
self-adjusting nonlinear genetic algorithm (SANGA) is
introduced. Normalized mapping f is modified to nonlinear
transform and the selection principles of mapping f are
discussed. The optimization computing of some examples is made
to show that the new genetic algorithm is useful and simple.
|
|
Developing
Digitized Radar Display & Control Terminal
on
General-purpose Micro-Computer
|
SONG
Rui, ZHANG Jing , XIA Sheng-ping, WU
Jian-hui, HU Wei-dong, YU Wen-xian
|
A
method of constructing digitized radar display and control
terminals on general-purpose micro-computers has been presented
in this paper. Nowadays, traditional means of radar display and
control cannot fulfill the information processing requirements
well. After analyzing the structures and functions of
traditional ones, we have developed the digitized terminal based
on the development of computer technology and graph processing
techniques. Features of the digitized terminal are compared with
those of traditional ones. The method is implemented in a radar
enhancement project. It shows that the method can satisfy the
requirements of processing and displaying complex information on
radar terminals. It has good flexibility and adaptability, and
can be used widely in radar simulation and personnel training
projects.
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Stochastic
Fuzzy Neural Network and It's Application in the Forecasting
of
Corporation's Earnings
|
SHAO
Jian-jun，KE
Da-gang，WANG
Jun-ping
|
The
paper systematically introduces the stochastic fuzzy neural
network(SFNN) and applies it to the classification and
forecasting of public corporation’s earnings per share to
settle the noise problem that the common forecasting methods
have not considered. We choose 300 public corporations from
Shanghai and Shenzhen stock markets as samples, and use the
stochastic fuzzy neural network to simulate the classification
and forecasting of earnings per share. We also use the fuzzy
neural network to simulate and compare these two results. It
shows that the simulation result of the stochastic fuzzy neural
network is better. This provides some practical meanings for the
investors to grasp the investing chance and make right
investment decision to receive high earnings.
|
|
Study
on Simulation and Visualization for the Traffic and
Transportation System in Large-sized Hydroelectric Engineering
Construction
|
ZHONG
Deng-hua,
FENG Zhi-jun, ZHANG Wei-bo
|
Based
on the analysis of the traffic and transportation system in
large-sized hydroelectric engineering construction, the method
of modeling and simulation for the system with computer, and
also the visualization realization of the process and result of
simulation are proposed. For this, some technologies are
applied, for example, the animation technology of computer
graphics, trispline and B-spline interpolating about numerical
calculate, and discrete- event system simulation. Finally, the
actual effect proposed in the paper is verified by an
application example
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