微粒群算法在二自由度PID控制器的优化设计中的应用

Optimal Design for Two-degree-of-freedom PI/PD Controller based on Particle Swarm Optimization Algorithm

利用微粒群优化(PSO)算法对PI/PD控制器进行研究,PSO算法是一种进化算法,源于鸟类捕食行为的模拟,以工业过程中常见的对象模型进行了仿真实验,得到的仿真结果表明提出的方法可以获得满意的控制效果(如上升时间、稳定时间、超调量等),PSO算法为PI/PD控制器的设计提供了一条有效途径。

In this paper,a PI/PD controller is investigated on the basis of particle swarm optimization (PSO) to decrease peak overshoot,settling time and rise time,PSO is an evolutional algorithm inspired by social behavior of flocks of birds when they are searching for food,the effectiveness of the proposed optimization algorithm is tested in the common industrial models. The simulation shows excellent results derived by the proposed method,an attractive method to the design of parameters of PI/PD controller is provided by the PSO approach.