Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (10): 54-59.doi: 10.16180/j.cnki.issn1007-7820.2019.10.011

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Two Degree of Freedom PID Parameter Optimization Based on GA-PSO Fusion Algorithm

WU Yankai,ZHANG Wei,MA Yingman,LI Jiayang   

  1. School of Optical Electrical and Computer Engineering,University of Shanghai for Science and Technology, Shanghai 200093,China
  • Received:2018-10-31 Online:2019-10-15 Published:2019-10-29
  • Supported by:
    National Nature Science Foundation of China(11502145)


In industrial process control systems, the tuning of PID parameters have direct influence on the quality and efficiency of production. Aiming at the difficulty of PID parameter adjustment, an intelligent fusion algorithm combined with genetic algorithm and particle swarm optimization was proposed, and the proposed algorithm was applied to tuning parameters of two-degree-of-freedom PID controller. The algorithm introduced particle swarm optimization algorithm into the mutation operator of genetic algorithm, which fully exploited the advantages of two single intelligent algorithms and made up for the shortcomings of both. The simulation results showed that the proposed algorithm could be applied to tuning PID parameters and excellent performance index values in the process of adjusting the PID parameters. Moreover, it had better control effects on target value tracking characteristics and external disturbance suppression characteristics.

Key words: genetic algorithm, particle swarm optimization, two degrees of freedom, mutation operator, intelligent algorithm, parameter optimization, performance index

CLC Number: 

  • TP273