A Study of PID Control System Based on BP Neural Network

Wei Liu; Jian Jun Cai; Xi Pin Fan

doi:10.4028/www.scientific.net/AMR.328-330.1908

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 328-330A Study of PID Control System Based on BP Neural...

A Study of PID Control System Based on BP Neural Network

Abstract:

To deal with the defects of the steepest descent in slowly converging and easily immerging in partialm in imum,this paper proposes a new type of PID control system based on the BP neural network, which is a combination of the neural network and the PID strategy. It has the merits of both neural network and PID controller. Moreover, Fletcher-Reeves conjugate gradient in controller can make the training of network faster and can eliminate the disadvantages of steepest descent in BP algorithm. The parameters of the neural network PID controller are modified on line by the improved conjugate gradient. The programming steps under MATLAB are finally described. Simulation result shows that the controller is effective.

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Periodical:

Advanced Materials Research (Volumes 328-330)

Pages:

1908-1911

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.328-330.1908

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Online since:

September 2011

Authors:

Wei Liu, Jian Jun Cai, Xi Pin Fan

Keywords:

Back-Propagation (BP), Improved Conjugate Gradient, Neural Network (NN), Proportional-Integral-Derivative (PID) Control

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