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Application of Soft Sensor Based on LS-SVM on Estimation of Alumina Powder Flow

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3 Author(s)
Chunyan Lu ; Sch. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China ; Wei Li ; Weirong Liu

Alumina powder flow in electrolytic aluminum plant for the production of alumina can not be precise measured online, the Least Squares Support Vector Machines (LS -SVM) was applied in the modeling of alumina powder flow estimation in the process of alumina conveying in this paper, and the soft sensor model based on LS - SVM was compared with the soft sensor model based on RBF. The result of simulation research proves that the soft sensor model based on LS-SVM has a higher precision accuracy and better generalization ability. The soft sensor technique is effective in estimate accuracy of the alumina powder flow.

Published in:

2009 International Conference on Measuring Technology and Mechatronics Automation  (Volume:1 )

Date of Conference:

11-12 April 2009