基于神经网络控制的两电动机同步系统研究  

Study on Double-Motor Synchronous System Based on Neural Network Control

作　　者：张运芳[1,2] 陈荣[1] 赵永建[2] 

机构地区：[1]盐城工学院,江苏盐城224051 [2]江苏大学,江苏镇江212013

出　　处：《微特电机》2009年第11期53-56,共4页Small & Special Electrical Machines

基　　金：江苏省自然科学基金资助项目(BK2003049);江苏省工业科技攻关(BE2006090);江苏省高校自然科学基金项目(05KDJ470048)

摘　　要：以多变量、非线性、强耦合的两电动机同步控制系统为研究对象,对变频器供电的感应电机系统进行重点研究,建立两电机同步系统的数学模型。采用RBF神经网络自适应PID控制器,结合自适应神经元解耦补偿的解耦控制技术,设计了两电机同步调速系统的神经网络控制器,试验结果表明该方法可以实现电机转速和皮带张力的解耦控制。Taking the multi-variable,non-linear and high coupling synchronization system of AC induction motor as study object ,focusing on the system of induction motors powered by current-tract SPWM transducers ,the mathematical model of the two motor system was established. Combined with deeoupling technology of adaptive neuron decoupling compensator,RBF neural network adaptive PID controller was adopted to design the neural network controller of two-motor synchronous system. Experimental results show that the two-motor synchronous system is decoupled based on neural network control.

关 键 词：同步系统 神经网络 解耦控制 电动机 控制器 

分 类 号：TM346[电气工程—电机]