%0 Journal Article
%T Drum pressure control based on PID-type fuzzy neural network in fossil-fired electric power station<br>基于PID型模糊神经网络的火电站汽包压力控制
%A CHEN Yan-qiao
%A WANG Yin-song
%A LIU Ji-zhen
%A ZENG De-liang
%A <br>陈彦桥
%A 王印松
%A 刘吉臻
%A 曾德良
%J 控制理论与应用
%D 2003
%I 
%X In order to overcome the nonlinearization, time-variability and pure lag of fuel-drum pressure control loop in the power station, a PID-type fuzzy neural network with a self-regress nerve cell was proposed as the drum pressure controller in the coordinate control system. The simulation research shows that the time-variability and random disturbance can be overcome by the controller, which is easy to select the initial value and capable of self-learning and thus considerably improves control quality.
%K drum pressure
%K PID-type fuzzy neural networks
%K self-learning
%K time-variable<br>汽包压力
%K PID型模糊神经网络
%K 自学习
%K 时变性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=1E6A0646862F3AB4&yid=D43C4A19B2EE3C0A&vid=A04140E723CB732E&iid=E158A972A605785F&sid=821800203AD09E7B&eid=E4EC39E73004B593&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=9