Intelligent controller using neural network

Jin Wang; Fuli Wang; Jinliang Zhang; Jin Zhang

doi:10.1117/12.217462

28 August 1995 Intelligent controller using neural network

Jin Wang, Fuli Wang, Jinliang Zhang, Jin Zhang

Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217462
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China

Abstract

This paper presents an intelligent PID controller based on a gradient descent learning algorithm. A BP neural network is needed to learn the characteristics of the dynamic systems. The possibility of using neural network models directly within a model-based predictive control strategy is also considered by making use of an on-line optimization routine to determine the future inputs that will minimize the deviation between the desired and predicted outputs. The controller's structure and the learning algorithm are very simple and easily realized. It can also replace the traditional PID controller, control the complex systems, and require neither process model nor more tuning parameters.

Citation Download Citation

Jin Wang, Fuli Wang, Jinliang Zhang, and Jin Zhang "Intelligent controller using neural network", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); https://doi.org/10.1117/12.217462

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