Grey Prediction in the Application of Friction Compensation
A method of combining GM (0, N) model with BP neural network is proposed and used in friction compensation. Firstly BP neural networks compensate the friction, then BP network is replaced with GM (0, N) model in a certain moment. With this method the neural network can apperceive the friction torque by online self-learning and compensate. The results of both simulation and experiment show that the method is feasible and effective on the friction compensation, it has well prospect for engineering application.
Grey prediction Friction compensation BP neural networks Simulator Servo system
Wang Weihong Wang Xiyang
Automatic Department, Beihang University, Beijing 100083
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5405-5408
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）