基于微粒群优化算法的锅炉汽包水位控制系统

摘要

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.%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.