Application of Analog Compound Orthogonal Neural Network to Temperature Control of Electric Heating Dryers

Abstract:

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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 and 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:

$35.00

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