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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Research on Control Technology of Point Type Feeding in Aluminum Electrolytic Process
verfasst von : Jiejia Li, Rui Qu, Hao Wu, Ying Li
Erschienen in: Advances in Future Computer and Control Systems
Verlag: Springer Berlin Heidelberg
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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.