基于元胞遗传算法的PID参数整定

PID parameter tuning based on cellular genetic algorithm

PID控制器具有结构简单易实现的特点,这使其在工业领域具有重要的研究价值,对PID控制器参数的整定使控制器发挥出高性能的控制是工业控制中需要处理的难点.本文利用元胞遗传算法对PID参数进行了整定,元胞遗传算法具有收敛精度高,收敛速度快,对空间探索和局部探索具有寻优的能力.通过对元胞遗传算法的参数设置不同种群大小和不同的交叉因子来比较元胞遗传算法参数不同所得到整定效果的不同,得出参数整定后可以使PID控制器具有高效性能的元胞遗传算法的参数设置.

Optimization is the continuous progress of scientific exploration of the neighborhood.The PID controller has the characteristics of simple structure and easy implementation,which makes PID having a very important position in the industrial neighborhood.The controller exert high-performance control by tuning the parameters of the PID controller is a difficult point in industrial control that needs to be dealt with.This article uses the cellular genetic algorithm to tune PID parameters.The cellular genetic algorithm has high convergence accuracy,fast convergence speed,and the ability to search for space and local exploration.The article mainly compares the different tuning effects obtained by different parameters of the cellular genetic algorithm by setting different population sizes and different crossover factors to the parameters of the cellular genetic algorithm.After comparing the results,the parameter setting of the cellular genetic algorithm that can make the PID controller have high-efficiency performance is obtained.