Abstract
Aluminum electrolysis is a process of nonlinear, time varying and large time delay, and it is difficult to control, high energy consumption. Therefore, aluminum electrolysis control system’s hot issue is to save electric energy, to improve current efficiency. We proposed composite fuzzy neural network control method which combined neural network control and PID control, through tracking parameters of cell resistance which reflected alumina concentration, to adjust control strategy of controller, to control feeding quantity of alumina feeding device, so that we can control alumina concentration in ideal range. Experimental results show that: this method has good control performance and energy-saving effect.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Li, J., Qu, R., Wu, H., Li, Y. (2012). Research on Control Technology of Point Type Feeding in Aluminum Electrolytic Process. In: Jin, D., Lin, S. (eds) Advances in Future Computer and Control Systems. Advances in Intelligent and Soft Computing, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29390-0_22
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DOI: https://doi.org/10.1007/978-3-642-29390-0_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29389-4
Online ISBN: 978-3-642-29390-0
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