基于PSO的PID参数优化及其工程实现

PID Parameters Optimization and Its Engineering Realization Based on PSO

介绍运用粒子群优化算法(PSO)对单回路和双回路系统PID控制器参数的优化,并进行数字仿真,得出控制品质参数。分析在被控对象的表达形式为n阶惯性环节加纯迟延和一阶惯性环节串联2种不同情况下,采用粒子群优化算法寻优的方法,说明根据给定被控对象参数计算出PID参数以及相应的仿真曲线和控制品质数据的工程实现过程。

This paper introduces optimization method of PID controller parameters in single-loop and double-loop system by particle swarm optimization algorithm and obtains control quality parameters on the basis of digital simulation,analyze control object in form of series connection composed by n order intertial link with pure delay and first order inertia and use particle swarm optimization to find out PID parameters as well as the engineering process of corresponding simulation curve and control quality data.