基于智能PID控制的燃气锅炉燃烧控制系统研究

Study of an Intelligent PID( Proportional,Integral and Differential) Control-based Combustion Control System for Gas-fired Boilers

以燃气锅炉燃烧系统为研究对象,分别采用将模糊自适应控制理论,BP神经网络控制理论,和遗传算法控制理论与PID(比例-积分-微分控制器)控制理论相结合去设计控制系统,通过MATLAB(可视化数字仿真软件)分别进行仿真验证,并与传统控制系统的仿真曲线进行对比分析,得出智能PID控制明显优于传统PID控制的效果。为工业过程中的燃气锅炉燃烧控制系统采用智能PID控制器提供了理论基础。

With a gas-fired boiler combustion system serving as the object of study,the intelligent PID control algorithm was used to improve its control system. The fuzzy self-adaptive theory was used in combination with the BP neural network theory,genetic algorithm theory and PID control theory to design the control system. By using the software Matlab,a simulation and verification were performed respectively and a contrast with the simulation curves obtained from the traditional control systems and analysis were conducted. It has been found that the intelligent PID control is obviously superior to the traditional PID control,thus offering a theoretical basis for adopting the intelligent PID controllers in gas-fired boiler combustion control systems in industrial processes.