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基于微粒群优化算法的锅炉汽包水位控制系统
引用本文:李静,徐冰,雷丹,陈强,段丽娜. 基于微粒群优化算法的锅炉汽包水位控制系统[J]. 自动化技术与应用, 2011, 30(1): 16-19
作者姓名:李静  徐冰  雷丹  陈强  段丽娜
作者单位:1. 华中科技大学武昌分校自动化系自动化教研室,湖北,武汉,430074
2. 华中数控股份有限公司,装备事业部,湖北,武汉,430000
摘    要:本文介绍了常规三冲量水位控制系统以及微粒群优化算法的基本原理,提出了一种改进的系统--基于微粒群优化算法的三冲量水位控制系统,通过在MATLAB/SIMULINK中建立系统模型进行仿真实验,结果表明改进系统在上升时间、凋节时间、超调量、稳态误差等方面表现出较好的性能.

关 键 词:微粒群优化算法  常规三冲量水位控制  仿真

Water Level Control System of Boiler Drum Based on Particle Swarm Optimization
LI Jing,XU Bing,LEI Dan,CHEN Qiang,DUAN Li-na. Water Level Control System of Boiler Drum Based on Particle Swarm Optimization[J]. Techniques of Automation and Applications, 2011, 30(1): 16-19
Authors:LI Jing  XU Bing  LEI Dan  CHEN Qiang  DUAN Li-na
Affiliation:LI Jing1,XU Bing2,LEI Dan1,CHEN Qiang1,DUAN Li-na1(1.Huazhong University of Science and Technology Wuchang Branch,Wuhan 430074 China,2.Wuhan Huazhong Numerical Control co.ltd.Equipment Business Division,Wuhan 430000 China)
Abstract:This article introduces the conventional three-impulse water level control system and the basic principle of particle swarm optimization algorithm,then proposes an improved system: three-impulse water level control system based on the Particle Swarm Optimization algorithm.Through building system model and simulatiing in MATLAB/SIMULINK,the results indicate that the improved system shows better performance in the system rise time,settling time,overshoot,steady-state error and so on.
Keywords:Particle swarm optimization algorithm  the conventional three-impulse water level control system  simulation  
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