Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 328-330)
Chapter
Chapter 3: Mechatronics and Automation
Edited by
Liangchi Zhang, Chunliang Zhang and Zichen Chen
Pages
1908-1911
DOI
10.4028/www.scientific.net/AMR.328-330.1908
Citation
W. Liu, J. J. Cai, X. P. Fan, "A Study of PID Control System Based on BP Neural Network", Advanced Materials Research, Vols. 328-330, pp. 1908-1911, 2011
Online since
September 2011
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Price
$32.00
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