摘要
介绍了基于BP神经网络PID控制算法,结合多模态控制理论,提出将BP神经网络PID控制器应用于热油锅炉温控中,并将其与普通PID控制进行比较。结果表明,该方法具有超调量小、过渡时间短、鲁棒性好等特点,弥补了常规PID在锅炉控温中参数难以整定等缺点。将此控制策略应用于热油锅炉温控中,构建了锅炉的自控系统,使锅炉处于最佳的燃烧状态,保证锅炉的安全经济运行。
The PID control algorithm based on BP neural network was introduced,combining with multi-mode control theory,BP neural network PID controller was applied to the temperature control of hot oil boiler.The neural network PID was compared with the ordinary PID control.The results show that the method has the characteristics of small overshoot,short time and good robustness,which makes up for the shortcomings of conventional PID in the boiler temperature control,such as the parameters is difficuit to be adjusted.This control strategy is applied to the temperature control of hot oil boiler,and the self-control system of the boiler is constructed to make the boiler in the best combustion state and ensure the safe and economical operation of the boiler.
作者
任有志
乔松
孙继春
满晓飞
REN Youzhi;QIAO Song;SUN Jichun;MAN Xiaofei(School of Mechanical Engineering,Hebei University of Science and Technology,Shijiazhuang 050018,Hebei,China)
出处
《电气传动》
北大核心
2020年第4期81-84,共4页
Electric Drive
