基于Kalman预测的远程步进电机控制系统

作者： 日期：2008-08-14/span> 浏览：3659 查看PDF文档

基于Kalman预测的远程步进电机控制系统

郭晓芳，汪雄海
（浙江大学 电气自动化研究所，浙江 杭州 310027）

摘要：因网络性能限制，远程控制系统常存在数据传输不可靠的问题。据此以步进电机为典型控制对象,设计了一套远程控制系统，建立了步进电机的数学模型，结合Kalman预测算法来改善网络控制系统中数据包丢失问题。通过实验室模拟试验证明，该预测方法能减少网络对步进电机控制系统的不良影响，改善远程控制系统的动态性能，具有良好的应用前景。
关键词：Kalman滤波；状态预测；步进电机；远程控制
中图分类号：TP273文献标识码：A文章编号：1001-4551(2008)07-0026-03

Remote stepping motor control system based on Kalman
GUO Xiao-fang, WANG Xiong-hai
(Institute of Electrical Automation, Zhejiang University, Hangzhou 310027, China)
Abstract: Due to the limitations of Internet, non-reliability of data transmission usually exists in remote control system applications. A suit of remote control system for stepping motor control plant was described. The mathematic model of stepping motor was built, combing with Kalman predict arithmetic to improve packet loss problem in the network control system. System experiments achieve good results, and confirm that the method can effectively reduce the impact of packet loss on control system and also ameliorate the system dynamic performance. All these results illustrate Kalman predict method a good prospect of application and extension.
Key words: Kalman filtering; object-state predict; stepping motor; remote control
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