Research on the Fuzzy PID Speed Control System of Permanent Magnet Linear Synchronous Motor Based on Genetic Algorithm

Author:

Liu Jun1,Xie Qian Wei1

Affiliation:

1. Shanghai Dianji University

Abstract

Focusing on the non-linear, time-varying, strong coupling and external load disturbance existing in PMLSM, a fuzzy PID controller based on genetic algorithms is designed to control the speed of PMLSM by absorbing the advantages of PID control and fuzzy control, and the genetic algorithm method is used to optimize fuzzy control rules. A simulation experiment was made to compare the effects of traditional PID control and fuzzy PID based on genetic algorithm control by Matlab. The simulation results verify that fuzzy PID control based on genetic algorithm is superior to PID control in dynamic stability performance and speed tracking power.

Publisher

Trans Tech Publications, Ltd.

Reference7 articles.

1. Han MingWen, Liu Jun: RBF Neural Network PID Control of Permanent Magnet Linear Motor[J]. Electric Machines control application, Vol. 39(6), (2012), p.29.

2. Zhang YouPing, Zhang DaiLin. Research on the DSP-based control strategies of a positioning servo system of the linear motors. Electric Machines and Control, Vol. 10(1), (2006), pp.61-65.

3. RAMON V, CARLES P. Optimality characteristic of PL/PID controllers: A combined min-max/ise interpretation [J]. Chemical Engineering Communications, Vol. 197(9), (2010), pp.1240-1260.

4. Fan LiPing, Liu Yi. Design of H∞ iterative learning control for linear motor motion system. Proceeding of the CSU-EPSA[J], 2009, 21(2): 87-91.

5. Liu Jun, Wang YiChao. PMSM vecotor control based on variable gain sliding mode controller[J]. Journal of Shanghai Dianji University, 2012, 15(2): 76-80.

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