摘要
锅炉作为重要的动力设备广泛应用于工业领域,其汽包水位的稳定控制十分重要。而采用传统的PID控制策略,控制效果往往达不到预期。对汽包水位系统进行分析,建立汽包水位三冲量系统模型,提出了一种神经网络与PID控制相结合的复合控制策略,能够自适应优化系统控制参数。经仿真验证,此策略能够更好地响应环境变化,保证系统的鲁棒性。
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 control 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.
作者
李恩虎
侯宁
LI Enhu;HOU Ning(Gresgying Digital Energy Technology Co.,Ltd.,Xi′an 712044,China)
出处
《电工技术》
2024年第16期1-3,共3页
Electric Engineering
关键词
汽包水位
三冲量系统模型
神经网络
drum water level
three impulse system model
neural network