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Dissolved oxygen generic model control of wastewater treatment process based on immune optimization least squares support vector machine

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3 Author(s)
Hongtao Ye ; Sch. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China ; Fei Luo ; Yuge Xu

Biological wastewater treatment is a nonlinear, time-varying and time-delay process. It is difficult to achieve precise control. In order to solve the instability problem of dissolved oxygen (DO) control, a method of DO generic model control (GMC) based on immune optimization least squares support vector machine (LS-SVM) is proposed. The method doesn't require model simplification and linearization. A soft sensor method based on LS-SVM is proposed to solve the difficulty of oxygen uptake rate on-line measurement in DO process model. The immune algorithm is used to optimize the parameters of LS-SVM. In order to improve the distribution diversity of antibodies, an immune selection operator is proposed. Experimental results indicate that the proposed method is of high control accuracy.

Published in:

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Date of Conference:

7-9 July 2010

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