%0 Journal Article
%T Composite Control Combining Neuro-Fuzzy Inverse Control with PID Control and Its Application in a Continuous Stirred Tank Reactor<br>神经模糊逆模/PID复合控制在CSTR中的应用
%A LIU Shi-rong
%A YU Jin-shou
%A <br>刘士荣
%A 俞金寿
%J 控制理论与应用
%D 2001
%I 
%X This paper studies the realization of inverse systems and direct inverse control strategies based on the generalized basis function neural fuzzy network (GBFNFN), and presents the composite control strategy combining neuro fuzzy inverse control with PID control. The composite control strategy has been applied to the control of the concentration of a continuous stirred tank reactor (CSTR). Simulation results show that the composite control strategy can overcome the defects of direct inverse control caused by inaccuracy of the identified inverse model, and that the system can have good control performances.
%K neuro
%K fuzzy models
%K inverse
%K system
%K direct inverse control
%K PID control
%K chemical reactor<br>神经模糊模型
%K 逆系统
%K 逆模控制
%K PID控制
%K 化学反应器
%K 复合控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=B8F3FD3121AD8863&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=94C357A881DFC066&sid=CA122BD5B2FF2137&eid=1F7317C17A9AF4FA&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=16&reference_num=8