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A method of searching PID controller's optimized coefficients for Buck converter using particle swarm optimization

机译:基于粒子群算法的Buck变换器PID控制器最优系数搜索方法

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This paper presents the method of searching optimized PID controller's coefficients for Buck converter using PSO-particle swarm optimization. Recently, PSO, which can be used for parameter optimization, becomes attractive because its computation simplicity relative to other evolutionary algorithms such as GA. A problem is that PID controller's coefficients found with PSO may be not suitable which causes large overshoot and bad robustness. This paper proposed a method to solve this problem by improving the ratio of the proportion term through changing evolution conditions. According to the experimental results, the proposed method is feasible and the effect is good.
机译:本文提出了利用PSO粒子群算法为Buck变换器寻找最优的PID控制器系数的方法。最近,可用于参数优化的PSO变得有吸引力,因为它相对于诸如GA的其他进化算法而言,其计算简单性。问题在于,使用PSO找到的PID控制器系数可能不合适,这会导致较大的过冲和较差的鲁棒性。本文提出了一种通过改变演化条件来提高比例项比例的方法来解决这一问题。实验结果表明,该方法可行,效果良好。

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