摘要
分析了永磁直线同步电机的数学模型,给出了径向基(RBF)神经网络的结构和算法,设计出以切换函数为网络输入、以滑模控制器为网络输出的神经滑模控制器,软件仿真结果表明所设计的滑模控制器能进行自适应学习,可实现良好的伺服跟踪。
The mathematical model of permanent magnet linear synchronous motor（PMLSM） was analyzed and the RBF neural networks＇structure and algorithm were proposed.The neural network sliding mode controller was constructed with switch function as the input of neural network and sliding mode controller as the output.The simulation showed the sliding mode controller with good control performance of adaptive and position servo tracking.
出处
《电机与控制应用》
北大核心
2011年第2期22-25,31,共5页
Electric machines & control application
基金
河南省教育厅自然科学研究资助项目(2008A510014)
关键词
永磁直线同步电机
神经滑模控制
径向基神经网络
仿真
permanent magnet linear synchronous motor
neural network sliding mode control
radical basis function neural network
simulation
