基于自适应遗传算法的感应电动机调速系统PID控制器参数优化  

Parameter Optimization of PID Controller for AC Speed Regulating System Based on Adaptive Genetic Algorithm

作　　者：赵金[1] 张华军[1] 

机构地区：[1]华中科技大学控制系,武汉430074

出　　处：《微电机》2008年第1期34-36,共3页Micromotors

摘　　要：以速度误差积分型性能指标为目标函数,根据评估函数值变化幅度自适应调整变异概率,以防止算法早熟和陷入局部极小值。运用Matlab/Simulink建立电机矢量控制模型并对PID参数的优化数值进行仿真,结果表明本文提出的参数整定方法较传统PID方法更加优越。This paper apply adaptive genetic algorithm to optimize the PID controller of the motor control system based on field orientated strategy. According to the average fittness of colony, the crossover and mutation probability is adjusted to ensure fast and exact converge to the global classic value of the parameters. Through the Matlab/Simulation, validated that this method is better than traditional redressal mothod.

关 键 词：感应电动机 自适应遗传算法 PID参数整定 矢量控制 

分 类 号：TM346.2[电气工程—电机]