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.
出处
《微电机》
北大核心
2008年第1期34-36,共3页
Micromotors
关键词
感应电动机
自适应遗传算法
PID参数整定
矢量控制
Indnction motor
Adaptive genetic algorithm
PID parameter redressal
Vector oftented control
