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.

• Periodical: Applied Mechanics and Materials (Volumes 37-38)
• Pages: 176-180
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.37-38.176
• Online since: November 2010
• Authors: Hong Ling Wei, Lin Gang Gu
• Keywords: Analog Compound Orthogonal Neural Network, Electric Heating Dryer, Temperature Control

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DOI: 10.1016/s0045-7906(99)00006-3

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