Optimization Research of PMSLM PID Control Parameters Based on Genetic Two Degree of Freedom

Abstract

Abstract:

The optimization problem of PMSLM PID control parameters was studied by adopting the method of genetic two degree of freedom. First of all, a two degree of freedom PID controller was designed with the method of increasing a target value filter on the basis of traditional PID controller. Then, the two degree of freedom PID controller parameters was optimized with genetic algorithm for the sake of making the system set point tracking ability and anti-disturbance performance achieve optimality at the same time. At last, the contrast experiment was conducted between genetic two degree of freedom and traditional PID algorithm, the simulation experimental results show that the optimization method of PMSLM PID control parameters based on genetic algorithm two degree of freedom have some better advantages of quick response, excellent system set point tracking ability and anti-disturbance performance.

Key words: Two degree of freedom PID, genetic algorithm, system set point tracking ability, anti-disturbance performance

CLC Number:

TM359.4

Pan Zhenbao,Dong Fei,Zhao Jiwen,Su Yunsheng,Li Le. Optimization Research of PMSLM PID Control Parameters Based on Genetic Two Degree of Freedom[J]. Journal of Electrical Engineering, 2015, 10(8): 50-55.

Figures/Tables 10

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参数	数值
动子质量M_f /kg	0.17
永磁体产生的磁链Ψ_f/Wb	0.178
动子的绕组电阻R_s/Ω	8.4
交轴电感L_q/H	0.008
直轴电感L_d/H	0.008
电机极对数P	4
电机永磁体极距τ/m	0.001 58
持续电流I/A	1.8
峰值电流I/A	5.3

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