Conference Program of WCICA 2012
Conference Program of WCICA 2012
Conference Program of WCICA 2012
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<strong>WCICA</strong> <strong>2012</strong><br />
Book <strong>of</strong> Abstracts: Saturday Sessions<br />
ating, and improves the disturbance rejection capability <strong>of</strong> closed-loop<br />
control system.<br />
◁ PSaA-78<br />
AC electric power steering system modeling with Feed-forward fuzzy<br />
control algorithm, pp.3372–3377<br />
Hu, Jianfeng<br />
Duan, Jianming<br />
Beijing Univ. <strong>of</strong> Tech.<br />
Beijing Univ. <strong>of</strong> Tech.<br />
In this paper, using the permanent magnet synchronous motor (PMSM)<br />
as the motor <strong>of</strong> electric power steering system; establish mathematical<br />
models <strong>of</strong> the system, the completion <strong>of</strong> the EPS system architecture<br />
design. Adopt the composite method <strong>of</strong> Feedforward and the fuzzy PI<br />
control track on the target current,it’s improve the speed and accuracy<br />
response <strong>of</strong> system, reducing the tracking delay. Combine with<br />
steering system model, two freedom degrees vehicle model designing<br />
the power curve <strong>of</strong> control algorithm and simulating the overall system.<br />
The results <strong>of</strong> simulation show that the design <strong>of</strong> the curved power algorithm<br />
achieves to a good target <strong>of</strong> power control, and the system is<br />
stability.<br />
◁ PSaA-79<br />
Adaptive Digitally Controlled Flyback Converter Based on Current and<br />
Phase Margin Estimation, pp.3389–3394<br />
Yuan, Youchen<br />
Shao, Zhiwei<br />
Qingdao Univ. <strong>of</strong> Sci. & Tech.<br />
Qingdao Univ. <strong>of</strong> Sci. & Tech.<br />
This paper introduces design and implementation <strong>of</strong> a digital controller<br />
for an experimental low-power flyback converter in a solar-powered system<br />
with power management. Multiple operating modes are used to<br />
maintain high efficiency over wide range <strong>of</strong> input voltage and load. A<br />
current, crossover frequency and phase margin estimation technique to<br />
perform load-dependent mode switching and control system stability is<br />
proposed and tested. An adaptive tuning digital PID regulator design<br />
example is described, with emphasis on practical limitations imposed<br />
by the LM3S1138 controller and the program <strong>of</strong> arithmetic due to sampling<br />
and processing. The MIMO loop adaptively adjusts the regulator<br />
parameters to minimize the error between the desired and estimated<br />
crossover frequency and phase margin. Small-signal models are derived,<br />
and the MIMO control loop is designed to achieve stability and<br />
performance over a wide range <strong>of</strong> operating conditions. Experimental<br />
results <strong>of</strong> demonstrating system functionality are presented for a flyback<br />
converter.<br />
◁ PSaA-80<br />
Harmonic Compensation Rectifier with Smart Control Technology,<br />
pp.3395–3400<br />
Yuan, Youchen<br />
Qingdao Univ. <strong>of</strong> Sci. & Tech.<br />
A method <strong>of</strong> current harmonic suppression and voltage waveform improvement<br />
in power supply system is introduced. The key technology<br />
is to control the rectifier’s input current, which includes reversed components<br />
<strong>of</strong> harmonic current, and part <strong>of</strong> them will be eliminated, while<br />
the voltage will be drifted toward the sinusoidal waveform. Direct digital<br />
control technique is employed in a switching power supply to control the<br />
input current and the output voltage simultaneously based on weighted<br />
duty cycle process. In the smart switching power supply appliance,<br />
the reference corresponding to the output voltage is a constant value<br />
in general, but to control input voltage, the reference voltage is in sinusoidal<br />
waveform. Both <strong>of</strong> the input and output voltage is regulated by<br />
the weighted duty cycle as well as the current adjustment. The input<br />
current is changing immediately with the weighted duty cycle, but the<br />
output current is determined by the average <strong>of</strong> the weighted duty cycle<br />
in every half <strong>of</strong> the power period. The smart control rectifier can also<br />
be utilized to many other power electronic applications.<br />
◁ PSaA-81<br />
A Vision-based Fault Diagnosis System for Heliostat in A Central Receiver<br />
Solar Power Plant, pp.3417–3421<br />
SONG, YANG<br />
Huang, Wenjun<br />
Zhejiang Univ.<br />
Zhejiang Univ.<br />
Zhu, Xuemei<br />
Nanjing normal Univ.<br />
This paper presents an automatic heliostats fault detection and diagnosis<br />
system using machine vision techniques and common CCD devices<br />
for a solar power plant. The heliostats <strong>of</strong> a solar power plant reflect solar<br />
radiation onto a receiver placed at the top <strong>of</strong> a tower in order to<br />
provide a desired energy flux distribution correlated with the coolant<br />
flow through the receiver, usually in an open loop control configuration.<br />
Each heliostat maintains reflection <strong>of</strong> the moving sun onto the receiver.<br />
A long time running will make the mechanical components which<br />
control the heliostat to modify the azimuth angle and pitch angle break<br />
down, so the heliostats cannot reflect sunlight to the receiver or even<br />
stop working. In a large power plant, there may be hundreds to hundreds<br />
<strong>of</strong> thousands <strong>of</strong> heliostats which will increase the complexity <strong>of</strong><br />
manually recognizing and detecting which heliostat is fault or brokendown.<br />
Each heliostat can be equipped with sensors or some other<br />
equipment to detect whether fault occurs, but it will greatly increase the<br />
cost. So a novel method for fault diagnosis, which is based on image<br />
processing and machine vision, is presented in this paper. Experiments<br />
have shown promising results.<br />
◁ PSaA-82<br />
Sensorless Estimation and Simulation <strong>of</strong> PMSM Based on Highfrequency<br />
Signal Injection, pp.3438–3442<br />
Wu, Maogang<br />
Chen, Xing<br />
Hangzhou Dianzi Univ.<br />
HangZhou DianZi Univ.<br />
The sensorless estimation principle <strong>of</strong> rotor speed and position for<br />
PMSM by high-frequency signal injection is given. The characteristic<br />
and filtering method <strong>of</strong> high-frequency current signal, rotor position<br />
signal extraction based on victor transformation and heterodyning processing<br />
method are introduced in detail. The simulation models are<br />
made, simulation results are obtained. The efficiency is verified by simulation<br />
results, problems need be resolved such as sample frequency<br />
<strong>of</strong> high-frequency current, filter design and its delay, interference with<br />
high-frequency signal from other signals, real-time compensation <strong>of</strong> rotor<br />
position, decoupling control high-frequency signal system and base<br />
frequency system, estimation response, and so on.<br />
◁ PSaA-83<br />
Adaptive Synchronization <strong>of</strong> Uncertain and Delayed Chaotic Systems<br />
with Its Circuit Realization, pp.3465–3470<br />
Jin, Xiao-zheng<br />
Che, Weiwei<br />
Wang, Dan<br />
Shenyang Univ.<br />
Shenyang Univ.<br />
Shenyang Univ.<br />
The asymptotic synchronization problem <strong>of</strong> a class <strong>of</strong> uncertain and<br />
delayed chaotic systems is addressed with adaptive compensation designs<br />
in this paper. General uncertainties on systems and time-delays<br />
in the coupling network are eliminated by the adaptive control scheme,<br />
as well as its circuit realization are proposed. Then, an approach that is<br />
based on application <strong>of</strong> Lyapunov stability theory for the synchronization<br />
error system with adaptive parameters is introduced to prove the<br />
asymptotic synchronization result <strong>of</strong> the overall chaotic system. Finally,<br />
the proposed adaptive schemes are physically implemented by circuits<br />
and tested by simulation on a Chua’s circuit network.<br />
◁ PSaA-84<br />
Effect <strong>of</strong> Complex Network Structure on Synchronizability, pp.3481–<br />
3484<br />
Wang, Dan<br />
Li, Yanping<br />
Jin, Xiao-zheng<br />
Shenyang Univ.<br />
Shenyang Univ.<br />
Shenyang Univ.<br />
we introduce a evolving model that characterizes the weighted scalefree<br />
networks with high clustering coefficient by adjusting a parameter.<br />
The average clustering coefficient exhibits power-law decay as a<br />
function <strong>of</strong> degree <strong>of</strong> node. Triad Formation can distinctly enhance the<br />
clustering coefficient <strong>of</strong> networks. The effect <strong>of</strong> the evolution mechanism<br />
on synchronizability is analyzed. The simulation results show<br />
that synchronizability <strong>of</strong> both the type I network and the type II network<br />
decrease as the average clustering coefficient increases in weighted<br />
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