基于改进遗传算法的开关磁阻电机PID参数优化

Research on optimization of PID parameters of SRD based on improved genetic algorithm

针对开关磁阻电动机非线性、数学模型难精确建立的特点,采用遗传算法对其PID的控制器各参数进行优化。为克服传统遗传算法的局限性,对传统遗传算法进行了改进,增加了算法的收敛速度,避免了局部收敛的情况。基于MATLAB Simulink建立SRD非线性动态仿真模型,通过仿真验证了改进遗传算法的有效性。

Aiming at the characteristics of the nonlinearity of the switched reluctance motor drive( SRD)and the difficulty of establishing the mathematical model,the genetic algorithm( GA) is used to optimize the PID controller parameters. In order to overcome the limitation of traditional genetic algorithm,the traditional genetic algorithm is improved,which increases the convergence speed of the algorithm and avoids the local convergence. The SRD nonlinear dynamic simulation model is built,based on MATLAB Simulink,and the simulation results show that the improved genetic algorithm is a useful method for optimization of PID parameters of the switched reluctance motor drive.