基于模糊神经网络的滑模控制算法  

Algorithm of Sliding Mode Control Based on Fuzzy Neural Network

作　　者：裴硕[1] 肖军[1] 翟春艳[1] 白雪[1] 

机构地区：[1]辽宁石油化工大学信息与控制工程学院,抚顺113001

出　　处：《科学技术与工程》2010年第4期900-903,共4页Science Technology and Engineering

基　　金：辽宁省教育厅科学研究计划(2004D031)资助

摘　　要：提出了一种基于模糊神经网络的积分滑模控制算法。该算法利用模糊神经网络系统来代替传统的等效控制项,消除了其对数学模型的依赖;切换控制项则采用积分型变切换增益,有效地削弱系统抖振。该算法以永磁同步电机伺服系统为对象进行仿真研究。仿真结果表明,该方法控制精度高,鲁棒性强,有效提高了系统的控制性能。A fuzzy neural network equivalent controller independent of th integral sliding mode control approach was proposed . Aimed to make the e object＇ s accurate mathematic model, the equivalent controller was substituted by fuzzy neural network systems . In order to reduce chattering, variable controller adoptes a integral variable gain. It was used to control the position servo system of The PMSM. The simulation results show that the method has well tracking performance and robustness.

关 键 词：模糊神经网络 积分滑模控制 变控制增益 永磁同步电机 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]