Abstract
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.
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