一种新型降压斩波器用自整定PID控制器

A New Self-turning PID Controller for Buck Chopper Converter

结合降压斩波变换器及其传递函数,提出了一种基于单亲遗传算法和BP神经网络的PID(比例积分微分)自整定控制器,利用全局搜索功能实现PID参数的前期整定,再通过反向传播神经网络任意函数的逼近功能完成PID参数的自整定。对降压斩波变换器的Matlab仿真结果证明了该PID控制器具有较强的鲁棒性。

With a Buck chopper converter and its transfer function, it proposed a self-turning PID controller based on single parent genetic algorithm and BP（back propagation）neural network. This PID controller has global search ability of single-parent genetic algorithm to pre-tum PID parameter and then use approximation function of BP neural network to achieve self-turning of PID parameters. Robustness of the PID controller is verified through Matlab simulation of a Buck chopper converter.