无刷直流电动机控制系统优化仿真设计  

Optimization simulation design of brushless DC motor control system

作　　者：邹志军 迟长春(指导)[1] ZOU Zhijun;CHI Changchun(School of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)

机构地区：[1]上海电机学院电气学院,上海201306

出　　处：《上海电机学院学报》2021年第2期84-88,96,共6页Journal of Shanghai Dianji University

摘　　要：为了提高无刷直流电动机(BLDCM)在不确定外部工作环境下运行的鲁棒性,依据BLDCM数学模型建立传统PID的Matlab/Simulink仿真模型,并结合惯性权重和Levy飞行优化了标准蝙蝠算法。对比了基于蝙蝠优化算法的PID控制和基于遗传算法的PID控制二者对传递函数的阶跃响应,验证了前者的优越性。将蝙蝠优化算法运用到PID参数自整定上,使电动机从静止到1000r/min再到3000r/min调速过程中的超调量更小,上升时间更短,验证了优化算法的可行性。In order to improve the robustness of the brushless DC motor(BLDCM)in an uncertain external working environment,the traditional PID Matlab/Simulink simulation model is established based on the BLDCM mathematical model,and the standard bat algorithm is optimized by combining with the inertia weight and Levy flight.The step responses of the transfer functions of the PID control optimized by bat algorithm is compared with the PID control based on genetic algorithm,and the superiority of the former is verified.Since the optimized bat algorithm is introduced to the PID parameter self-tuning,the motor has a smaller overshoot and a shorter rise time during the speed adjustment process from standstill to 1000r/min and 3000r/min,which verifies the feasibility of the optimized algorithm.

关 键 词：无刷直流电动机 PID控制 蝙蝠算法 优化仿真设计 

分 类 号：TM351[电气工程—电机]