A Speed Control System of Permanent Magnet Linear Synchronous Motor Using Neuron Adaptive Controller

摘要：

The neuron net has ability to self-learning and adaptation,so its appfication into control does not depends on mathematic model of control object, and the neuron net controller can overcome the defect of less robustness of the conventional PI controller while changing of motor parameters.It is proposed to apply the neuron net control method into control system of the permanent magnet linear synchronous motor (PMLSM). In this thesis,a neuron adaptive controller is designed according to nonlinear and uncertainty of the PMLSM as speed controller.The dynamic equation of the PMLSM feeding system is obtained by analyzing PMLSM d-q modeL The simulation experiment has been made under the condition of starting and loading of motor.The results has shown that PMLSM Control System Based on Neuron adaptive Controller has not only good dynamic and stable performance, but also better robustness than PI control system.

关键词： PMLSM Neuron Adaptive Controller Speed Control

作者: Wang Wei Wang YuHua Wang ShiRong

作者单位: The College of Electrical & Electronic Engineering ChangChun University of Technology Jilin Province The College of Electrical & Electronic Engineering ChangChun University of Technology Jilin Province

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 35-38

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）