An Improved Method for Synchronous Control of Complez Multi-motor System
A general mathematic model of multi-motor system working on vector control mode is given. Here, a three-motor synchronous system was taken as the research object, and was proved to be invertible. A method of generalized growing and pruning RBF (GGAPRBF) neural network inverse for synchronous control of multi-motor system is proposed. The inverse can be constructed by combining the RBF neural network with an integrator, the speed and tension control of three-motor system can be decoupled by combing RBF neural network inverse with the three-motor system. Then, through growing and pruning RBF neural network according to the performance index given, the threemotor variable frequency speed-regulating control system is optimized, solving the problem which cant be done by BP neural network, the method provides a theoretical basis for the research of complex multimotor synchronous system. The simulation results illustrates it good dynamic and static operation performance.
Multi-motor RBF Neural Network Inverse growing and pruning Decoupling Control
Jinzhao Zhang Taibin Cao GouHai Liu
School of Mechanical & Electrical Engineering,Jiaxing University,Jiaxing,China School of Electrical and Information Engineering,JiangSu University,Zhenjiang,China
国际会议
上海
英文
1081-1085
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）