›› 2015, Vol. 28 ›› Issue (11): 5-.

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Research on PID Parameter Based on the Improved Genetic Algorithm

ZHENG Quan,XIN Shangzhi,QIAN Jianqiu   

  1. (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
  • Online:2015-11-15 Published:2015-12-15

Abstract:

Conventional PID parameter setting has the problem of low control precision and poor stability,which limits its applications in the systems requiring high precision and high reliability.Global optimal point can be found with the improved genetic algorithm(IGA) applied to parameter optimization of PID controller.The optimal solution is set to achieve the optimal effect of the steady state by using the PID controller with the addition of the improved genetic algorithm calculation module.Simulation shows that this method has better control performance with improved precision and fast convergence than the conventional PID parameters setting and optimization.

Key words: improved genetic algorithm;PID parameters;setting;optimization

CLC Number: 

  • TP273