基于遗传算法的PID参数整定与优化

Tuning and Optimization of PID Parameters by Genetic Algorithm

ＰＩＤ参数整定与优化一直是自动控制领域研究的重要问题。采用遗传算法进行ＰＩＤ参数整定与优化是一种寻求全局最优且与初始条件无关的优化方法。在参数整定与优化过程中，考虑了过程控制系统的参数整定特点和寻优精度。仿真表明：该方法比一般ＰＩＤ参数整定方法具有更好的控制性能指标，不失为一种具有较好实用价值的ＰＩＤ参数整定与优化方法。

Using the genetic algorithm (GA) to tune and optimize the PID parameters is a method for searching the global optimal resolution, which is independent of initial condition. In the process of tuning and optimization, the features of parameters tuning and the accuracy of optimization are considered. Simulations have proved that the control performance index based on GA is better than that of the general PID parameters tuning methods.