基于改进微粒群算法的PID控制器参数优化设计

介绍了微粒群优化（PSO）算法的基本原理和流程,提出了改进的PSO算法并将其与控制系统优化设计相结合,对传统PID控制器的参数整定进行优化研究,仿真实验结果表明改进PSO方法得到的PID控制器具有快速、无超调的响应特性,获得了满意的控制效果,各项控制性能指标优于传统方法整定得到的PID控制器。

Optimization Design Based on Modifi ed Particle Swarm Optimization Algorithm for PID Controller

Introduction was made to the principle and the flowchart of the particle swarm optimization （PSO） algorithm. The modified PSO algorithm was proposed and was combined with the optimal design of control system, and the parameter-tuning optimization to the conventional PID controller was researched. The simulation results show that the PID controller has the characteristic of fast response without overshoot, so that the control effect is satisfying and each performance index of the controller is superior to that of the conventional tuning methods.