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Intelligent Control Algorithm Based on T-S Fuzzy Neural Network PID and its Applications

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3 Author(s)
Li Lina ; Coll. of Phys., LiaoNing Univ., Shenyang, China ; Wu Xinjie ; Yang Yang

With the combination of T-S fuzzy model and conventional PID controller, as well as by means of the self-learning and self-organizing ability of neural network, an intelligent control algorithm based on T-S fuzzy neural network PID control is presented in this paper. With this control algorithm, an pressure controller for solenoid valve test was designed and the corresponding simulation was carried out to show its highly dynamic and stable traits, strong self-adaptive ability and anti-interference ability of this controller, the simulation results also revealed that the T-S fuzzy neural network PID controller is much better than conventional PID controller and simple fuzzy controller.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on  (Volume:2 )

Date of Conference:

11-12 May 2010

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