A Study on PID Control and Simulation Based on BP Neural Network

Fang Fang Zhai; Shao Li Ma; Wei Liu

doi:10.4028/www.scientific.net/AMR.468-471.742

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471A Study on PID Control and Simulation Based on BP...

A Study on PID Control and Simulation Based on BP Neural Network

Abstract:

This paper introduces the neural network PID control method, in which the parameters of PID controller is adjusted by the use of the self-study ability. And the PID controller can adapt itself actively. The dynamic BP algorithm of the three-layered network realizes the online real-time control, which displays the robustness of the PID control, and the capability of BP neural network to deal with nonlinear and uncertain system. A simulation is made by using of this method. The result of it shows that the neural network PID controller is better than the conventional one, and has higher accuracy and stronger adaptability, which can get the satisfied control result.

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Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

742-745

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.742

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Online since:

February 2012

Authors:

Fang Fang Zhai, Shao Li Ma, Wei Liu

Keywords:

BP Algorithm, Neural Network (NN), PID Control, Simulation

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