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Neural PID controller based on improved particle swarm optimization algorithm

Published:2015-04-08 author:JIN Lin-jun，FANG Jian-an，PAN Lei-ning Browse: 3462 Check PDF documents

Neural PID controller based on improved particle

swarm optimization algorithm

JIN Lin-jun，FANG Jian-an，PAN Lei-ning

（College of Information Sciences and Technology，Donghua University，Shanghai 201620，China）

Abstract：Aiming at the complicated process control in the control performance is slow and other issues，neural network PID controller

and the interaction between the physical mechanism of PID control theory were studied. The initial weights between neuron PID controller

hidden layer and output layer were summarized. A kind of particle swarm optimization algorithm was put forward. The shrinkage factor of

PSO algorithm was improved to guarantee the convergence of optimization and Matlab simulation was used. The research results indicate

that the neural PID controller optimized by improved particle swarm optimization algorithm has good accuracy and fast response

characteristics in the complex MIMO object in high coupling effect。

Key words：neural；PID controller；multiple input multiple output（MIMO）；decoupling；improved particle swarm optimization（PSO）

algorithm

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