基于改进粒子群算法的PID控制器参数整定

Tuning of PID Controller Parameters Based on Improved Particle Swarm Optimization Algorithm

粒子群算法是一种新的基于群体智能的全局优化算法,算法简单并且容易实现,已经被广泛应用在各个领域。本文为改善传统PID控制器的参数整定问题,提出了一种改进的粒子群算法。并用它来优化PID控制器的三个参数,得到的控制器结构简单,易于实现,仿真结果证明这种控制器具有良好的性能。

Particle Swarm Optimization （PSO） has been a novel global optimization algorithm which is based on swarm intelligence. It is easy to be realized and already applied to many fields. In order to reform the problem of PID controller parameters, this paper presents a novel improved PSO algorithm, the three parameters of PID controller are optimized by this algorithm. The structure of controller is simple and the simulation result proves that this controller is feasible and effectual.