摘要
通过适当地选择系统参数以及外部输入,永磁同步电动机可以呈现出混沌运动状态。针对永磁同步电动机混沌模型的不确定性,采用基于正模型-逆系统的神经网络控制策略,建立混沌系统的动力学正向模型及其逆模型,实现了永磁同步电动机混沌运动的跟踪控制。仿真结果验证了该控制策略的有效性。
Permanent magnet synchronous motor model can exhibit a variety of chaotic phenomena under some choices of system parameters and external input. Based on the property of neural network, the control system of permanent magnet synchronous motor chaotic model were studied. A direct neural network model was used to approximate the permanent magnet synchronous motor chaotic model, and an inverse neural network model was used as a controller of the system. The chaotic system of the permanent magnet synchronous motor could be realized trace control with neural network controller.
出处
《杭州电子工业学院学报》
2004年第3期15-18,共4页
Journal of Hangzhou Institute of Electronic Engineering
基金
浙江省教育厅高校科研计划项目 (2 0 0 3 0 651 )
杭州电子工业学院科学研究基金资助项目 (KYF0 71 50 3 0 0 2 )
