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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 />

177

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