摘要
火电厂锅炉燃烧系统控制具有结构复杂,变工况,大惯性及强耦合等特性,常规的模糊控制器控制算法单一,控制精度不高,提出了一种基于改进型模糊PID控制器的锅炉燃烧系统控制方法。采用标准粒子群算法在线调整模糊控制器的比例因子和量化因子,减弱了系统对模糊控制规则和系统数学模型的依赖,克服了燃烧控制系统变工况数学模型难以求取的控制难点,提高了燃烧控制系统的控制精度,具有更强的鲁棒性。基于某电厂仿真机平台,利用仿真软件通过与常规PID控制器、模糊自适应PID控制器的仿真实验比较表明,改进型模糊PID控制器输出稳定,控制精度高,鲁棒性好。
For the characteristics of strong coupling, multi-parameter, variable condition of the coal-fired power plants' combustion control system, the traditional PID control effect is not good. In this paper, the fuzzy control strategy is added into the boiler combustion control system. In order to improve the control effect of the fuzzy PID controller, the modified fuzzy self-turning PID controller is proposed. It optimizes the structure of the fuzzy self-turning PID controller, and combines the old control technologies into variable universe control theory based on the PSO algorithm, making the output of the system more stable, and reducing the dependence on some expert knowledge. Different mathematical models are set up under different loads for fuel-main steam pressure system in a power plant' s simulation platform. Simulation results demonstrate that: compared with the normal PID control and the fuzzy self-turning PID control using Matlab software, the modified fuzzy self-tnrning PID controller has faster response speed, better control precision and robustness.
作者
王勇
WANG Yong(School of Mechanical and Electrical Engineering, Guizhou Normal University, Guiyang 550014 China)
出处
《自动化技术与应用》
2017年第9期6-9,13,共5页
Techniques of Automation and Applications
关键词
燃烧控制系统
模糊自适应
变论域
粒子群算法
combustion control system
modified fuzzy self-turning
variable universe coefficient
PSO