粒子群算法实现的防爆正压柜控制器设计  

Design of the Explosion-proof Positive Pressure Cabinet Controller Based on PSO

作　　者：刘嘉[1] 李俊[1] 苗涛[1] 

机构地区：[1]南京工业大学自动化与电气工程学院,江苏南京211816

出　　处：《自动化仪表》2013年第12期41-43,47,共4页Process Automation Instrumentation

摘　　要：针对现有的防爆正压柜控制器存在干扰严重、系统响应较慢、超调较大等不足,设计了一种以DSP为核心的防爆正压柜控制器,并采用PID控制器优化系统的控制性能。考虑人工整定PID参数存在性能难以保证的缺点,引入粒子群算法实现了PID参数整定。通过仿真与试验分析显示,该系统可以实现正压调控功能并有效提高系统的稳定性与快速性,基于粒子群算法的PID控制系统必将成为控制系统的发展方向。Aiming at the demerits of existing explosion-proof positive pressure cabinet controllers, e. g. , severe interference, slow system response, and large overshoot, etc. , the explosion-proof positive pressure cabinet controller with DSP as the core has been designed, and the control performance of PID controller optimal system is adopted. Considering the disadvantage of manually tuning PID parameters is difficult to ensure the performance, the particle swarm optimization （ PSO ） algorithm is introduced to implement PID parameters tuning. The simulation and experimental analysis show that this system provides positive pressure regulation and control function, and improves the stability and system response performance, the PID control system based on PSO algorithm will surely become the direction of development of control systems.

关 键 词：DSP 粒子群优化(IX30) 防爆 正压调控 参数整定 控制系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]