工业锅炉燃烧过程智能控制系统

Intelligent control system of the industry boiler in combustion process

针对典型的大时滞,非线形的工业锅炉燃烧控制系统,本文提出了一种基于PID神经元网络的工业锅炉燃烧控制系统,在仿真实验的基础上,对PID神经元网络控制与传统的PID控制进行比较和分析,仿真结果表明,PID神经元网络控制方法具有良好的鲁棒性和抗干扰性。其控制效果优于传统的PID解耦控制。

Considering the combustion control system of industry boiler with large time delay and nonlinear process in industry boiler. The paper presents a kind of the combustion system of industry boiler based on PID neural network controller design method. Based on the simulation, the comparison is made between PID neural network controller and the conventional PID controller. The simulation results indicates that the kind of the new controller has good performance of strong robustness and resisting disturbance and is superior to the conventional decoupled PID control.