粒子群优化算法的改进及其在二次转速调节中的应用  

Improvement of PSO Algorithm and Its Application on Secondary Speed Regulation

作　　者：张日红[1] 陈建文[2] 

机构地区：[1]仲恺农业技术学院机电工程系,广州510225 [2]东北大学机械工程与自动化学院

出　　处：《矿山机械》2008年第12期36-40,共5页Mining & Processing Equipment

摘　　要：为了消除参数变化和耦合干扰对二次调节转速控制系统的影响,设计了基于粒子群算法的 PID 控制器(PSO-PID),并对其改进实现了基于自适应粒子群算法的 PID 控制器(APSO-PID)。此外,对 PSO-PID 和 APSO-PID 在二次调节转速控制系统中的应用进行了基于 Matlab 的仿真比较结果显示,APSO-PID 控制器较好的提高了 PID 的寻优能力,减少了算法容易陷入局部最优的概率,对于提高二次调节转速控制系统的控制性能具有更好的效果。To e l iminate the deteriorating effect of parameter changes and coupling disturbances on the rotational speed control system with secondary regulation, a kind of PID controller based on the Particle Swarm Optimization （PSO） algorithms is designed and another kind of PID controller based on the Adaptive Particle Swarm Optimization （APSO-PID） algorithm is realized through improvement. In addition, the difference between PSO-PID and APSO-PID in the application of the secondary regulation rotational speed control system is compared through carrying on MATLAB simulation. The result shows that the APSO-PID controller improves optimization ability greatly and reduces the probability of the algorithm involving in parlial optimization. It can improve the control performance of the rotational speed control ,system with secondary regulation to a great extent.

关 键 词：二次调节 粒子群优化算法 PID控制 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]