Paper Title:
Application of Analog Compound Orthogonal Neural Network to Temperature Control of Electric Heating Dryers
  Abstract

A direct temperature control method for electric heating dryers was proposed in order to obtain satisfactory control effect. The controller of analog compound orthogonal neural network used a direct adaptive control method. Simulation results show that this controller has higher speed performance and smaller overshoot than a PID controller. It is suitable for the control of uncertain objects and provides a novel approach for the control of uncertain systems.

  Info
Periodical
Edited by
Yi-Min Deng, Aibing Yu, Weihua Li and Di Zheng
Pages
176-180
DOI
10.4028/www.scientific.net/AMM.37-38.176
Citation
H. L. Wei, L. G. Gu, "Application of Analog Compound Orthogonal Neural Network to Temperature Control of Electric Heating Dryers", Applied Mechanics and Materials, Vols. 37-38, pp. 176-180, 2010
Online since
November 2010
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Price
$32.00
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