Optimal Quadratic Neuron PID Controller of Magnetic Bearing System

摘要：

The optimal quadratic neuron PID controller based on quadratic performance index of optimal control theory is described in this paper which combines artificial neural networks (ANNs) technique with optimal control theory and adjusts PID parameters to reach adaptive effect according to its learning rules derived from optimal quadratic performance index. The application of the controller in a real magnetic bearing system confirms that the controller can overcome its significant drawback such as highly nonlinearity and inherently instability. Simulation results by M-file in MATLAB show that optimal quadratic neuron PID controller can achieve better performance and provides a number of advantages over traditional PID controller.

作者: Jianhui Lin Zhishu Li

作者单位: College of Computer Science Sichuan University Chengdu, Sichuan,China,610064

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）