基于遗传算法的Buck变换器控制优化研究

摘要

According to the change of load is introduced, in order to reduce the change of the output voltage for target for buck converter controller device value parameter setting method. The traditional way is to get the phase of the optimization result power margin, the response of the output voltage stability improved slightly. And by using the genetic algorithm to optimize the phase margin become adjustment parameters, and circuit component values is considered to be direct parameters optimization, make the output voltage of the buck converter has very good control characteristic.%介绍了根据负载变化的情况,以减少输出电压的变化为目标来获取降压转换器的控制器器件值参数整定的方法.传统的方法是获取优化的相位裕度,结果使输出电压的响应稳定度略有改进.而利用遗传优化算法使相位裕度成为调整参数,并且电路元件值被认为是直接调整参数给予优化,使降压转换器的输出电压具有非常优良的控制特性.