基于遗传算法的有源电力滤波器滑模控制

为改善滑模控制方式有源电力滤波器在高频处抖动的缺陷，提出用遗传算法对控制器参数进行优化，提高了控制器性能。简要说明了三相三线有源电力滤波器的工作原理，根据补偿电流和指令电流的误差构建滑模变结构控制器。详细给出了用遗传算法对控制器参数的优化过程，得到了控制器参数的确切值。通过对传统PI控制方式和优化后滑模控制方式进行仿真实验，结果表明，所提出的滑模控制方式响应速度快，算法简单，较好地抑制抖动，鲁棒性强，达到了优化的目的。

Sliding mode control of active power filters based on genetic algorithm

The parameters of the controller are optimized by genetic algorithm, in order to improve the control method of active power filter in defects at the high frequency chattering of the sliding mode and the controller performance. The principle of three-phase three wire active power filter is introduced and the design of the optimization of controller parameters of genetic algorithm is analyzed in detail. The exact values of the parameters of the controller are achieved. According to the error of the compensation current and instruction current, sliding mode variable structure controller is obtained. Though the simulation of experiment of the traditional PI control method and the optimized sliding mode control, the results demonstrate that the proposed method can obtain quick response, simple algorithm and better jitter suppression and robustness.