基于全局最优-局部最优粒子群算法的PID控制  

Optimizing PID Parameters Based on Global Best-local Best PSO

作　　者：刘琪[1] 杜远东[1] 

机构地区：[1]周口师范学院物理与电子工程系,周口466001

出　　处：《科学技术与工程》2012年第30期8063-8065,共3页Science Technology and Engineering

基　　金：河南省教育厅自然科学研究计划项目(2011B510021);周口师范学院青年科研基金项目(2012QNA02)资助

摘　　要：PID的控制效果取决于比例、积分和微分三个参数取值,其参数优化一直是控制领域研究的热点。提出了一种全局最优-局部最优(Global Best-Local Best PSO,GBLB-PSO)的PID参数优化策略,使控制系统满足超调量小、调节时间短等性能目标。优化方案应用于暖通空调系统(Heating,Ventilating,and Air Conditioning HVAC)中室内空气压力回路的控制。仿真结果无超调、调节时间短。与传统方法相比,性能有了较大提高。表明了本方法的有效性和优越性。Control effect of PID depends on the parameter values： proportion, integral and differentiation, pa-rameters optimization of PID control is always a hot spot in the research field of control. A global best and local best PSO algorithm is put forward, which is an optimization strategy of PID, the result of this method making the system have small overshoot and short adjusting time. The optimization scheme will be used in the control of HVAC sys-tem. Through simulation, it is shown that there is good effect, such as non-overshoot and short adjusting time. Compared with the traditional method, performance of this algorithm is well improved and optimized objective func-tion is decreasing.

关 键 词：GBLB—PSO PID控制 参数优化 HVAC系统 空气压力回路 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]