Research on Aluminum Electrolysis Equipment Control Strategy

Jie Jia Li; Guang Qi Chen; Hao Wu; Ying Li

doi:10.4028/www.scientific.net/AMR.499.474

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 499Research on Aluminum Electrolysis Equipment...

Research on Aluminum Electrolysis Equipment Control Strategy

Abstract:

Aluminum electrolytic process is a complex nonlinear, time-varying delay and large industrial process system which conventional control methods are hardly can achieve good results. Because of that, a control method that combines fuzzy and neural network is put forward in the paper. This method has not only the robust fuzzy control and overshoot, but also self-learning ability of neural network. And conduct a system simulation, simulation results show that compared with the previous control method this method has good speed and stability, to achieve the purpose of energy saving for the control of alumina concentration.

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Periodical:

Advanced Materials Research (Volume 499)

Pages:

474-477

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.499.474

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Online since:

April 2012

Authors:

Jie Jia Li, Guang Qi Chen, Hao Wu, Ying Li

Keywords:

Aluminum Electrolytic, Fuzzy Control, Neural Network (NN), System Simulation

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