基于Matlab-Simulink-SISO及SRO的电磁轴承PID控制参数整定

Control parameter tuning of magnetic bearing PID based on Matlab-Simulink-SISO and SRO

介绍了电磁轴承PID控制系统,采用Matlab SISO SRO开发电磁轴承控制仿真系统,研究PID控制参数对电磁轴承控制的影响,给出在不同的PID控制参数下的仿真结果,为电磁轴承控制系统的设计提供了一种简洁高效的方法。

The improved neuron intelligent PID controller for magnetic bearing was described in this paper which combined Artificial Neural Networks （ANNs） technique with traditional PID controller and adjusted PID parameters automatically to reach adaptive effect according to its improved learning rules. The application of the controller in a real magnetic bearing system confirmed that the controller can overcome its significant drawback such as high nonlinearity and inherent instability. Simulation results by M-file in Matlab show that improved neuron PID controller can achieve better performance and show a number of advantages over traditional PID controller.