基于遗传二自由度的永磁同步直线电机PID控制参数优化研究

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

采用一种遗传二自由度的优化方法,研究了直线电机PID控制器参数的优化问题。首先,利用在传统PID控制器基础上增加目标设定值滤波器的方法,设计了一种二自由度PID控制器;采用遗传算法对二自由度PID控制器的参数进行优化,解决传统控制器在设定值跟随性能和干扰抑制特性不能达到共优的问题;将本文算法和传统PID算法进行仿真对比实验,结果证明,本文的参数优化方法具有调节时间短、设定值跟随特性优良且抗干扰性能好的特点。

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.