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Intelligent Optimization PID Controller Based on Fuzzy Neural Networks

Author: FanChunLi
Tutor: LiHongGuang
School: Beijing University of Chemical Technology
Course: Control Theory and Control Engineering
Keywords: PID control Fuzzy Neural Network Genetic Algorithm Intelligent control
CLC: TP183
Type: Master's thesis
Year: 2009
Downloads: 442
Quote: 2
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Abstract


The PID control algorithm is simple in structure, strong in robustness, and can be understood easily. It has been widely used in industrial process control. However, the objects become more and more complex with the development of industrial process, and the drawbacks of the traditional PID control are increasingly exposed. The Fuzzy Control and Neural Networks do not relay on the mathematic model of controlled objects, and have strongger ability of self-adaptation and self-study. Aiming at the complex non-liner objects, it is significant to employ the excellence of Neural Networks and Fuzzy Control to design the on-line adjusting control system of PID control to improve the system performance both in theory and practice.This thesis combined the characteristic of Neural Networks and Fuzzy Control on the basis of powerful analysis ability of traditional classic control theory. Firstly it combined the Fuzzy Neural Networks Control and traditional PID control, determined the important state of Fuzzy Neural Networks resolving the traditional process control, designed an intelligent optimization PID controller based on Fuzzy Neural Networks which used Genetic Algorithm to optimize the Fuzzy Neural Networks parameters including the membership function mean, standard deviation, connection weights wij corresponding to the network output layer, and on-line updated PID parameters. Then if gave the structure of intelligent optimization PID control system and the general algorithm of controller based on the Fuzzy Neural Networks, and discussed the method of using VC to realize the controller software. Finnally, it utilized this intelligent PID controller to carry through the simulation for TE process. And the simulation results showed that the intelligent optimization PID controller based on the Fuzzy Neural Networks had good control effects and broad development foreguound.

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Artificial Neural Networks and Computing
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