As an important power equipment,boilers are widely used in the industrial field,and the stable control of their steam drum water level is very important.However,using conventional PID control strategies often fails to achieve the expected control effect.This paper analyzes the water level system of the steam drum,establishes a three impulse system model of the steam drum water level,and proposes a composite control strategy combining neural network and PID con-trol which can adaptively optimize the system control parameters.Simulation verification indicates that this strategy can better respond to environmental changes and ensure the robustness of the system.
关键词
汽包水位/三冲量系统模型/神经网络
Key words
drum water level/three impulse system model/neural network
维普
万方数据