%0 Journal Article
%T Speed sensorless control for induction motor based on flux observer with Petri fuzzy neural networks<br>基于Petri模糊神经网络磁通观测器的感应电动机无速度传感器控制
%A WANG Jia-jun
%A MA Guo-jin
%A <br>王家军
%A 马国进
%J 控制理论与应用
%D 2010
%I 
%X Pertri fuzzy neural networks(PFNN) are applied to construct the current observer. The flux observer is constructed based on the observed current. The rotor speed is computed according to the observed rotor flux. Slidingmode backstepping controllers are designed based on a new decoupled model of the induction motor. The proof of PFNN convergence is also given. The effectiveness of the control design is validated through MATLAB simulation.
%K induction motor
%K speed sensorless control
%K Petri fuzzy neural networks
%K flux observer<br>感应电动机
%K 无速度传感器控制
%K Petri模糊神经网络
%K 磁通观测器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=52A493468C2511DE085E0624730C7B39&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=9CF7A0430CBB2DFD&sid=C1F642278C6E9D3E&eid=A0F0DDA3F8BC378D&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=9