Design of Control System of Eddy Current Retarder Based on BP Neural Network PID Controller

Abstract:

A new kind of algorithm of controller for eddy current retarder is designed in this paper. The eddy current retarder control system with traditional PID controller can't achieve a perfect performance in the rapid response. Back propagation (BP) neural network is one of artificial neural networks which has a good learning ability with a simple and recurrent structure, so it is suitable for controlling complicated eddy current retarder system. This paper introduces the principle, characteristics and learning algorithm of the BP neural network and designs the control system of eddy current retarder based on BP neural network PID controller by combining BP neural network and traditional PID. Making use of MATLAB, simulate this new kind of controller for eddy current retarder in the rapid response. Simulation results show it can improve the dynamic response performance and enhance the static precision compared to the traditional PID controller.

• Periodical: Applied Mechanics and Materials (Volumes 494-495)
• Pages: 223-228
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.494-495.223
• Online since: February 2014
• Authors: Fu Jin*, Jian Jun Sun, Hong Bin Yu
• Keywords: BP Neural Network (BPNN), Eddy Current Retarder, MATLAB Simulation, PID Control

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