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Vol. 25 No. 3 (2013): Vol 25 Issue 3

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A Novel Clonal Selection Algorithm for Multivariable Optimal Control of Activated Sludge Process

https://doi.org/10.14233/ajchem.2013.13236
X.J. Du
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, P.R. China
X.H. Hao
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, P.R. China
P. Yu
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, P.R. China ; Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou, 730050, P.R. China
Q. Gu
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, P.R. China ; Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou, 730050, P.R. China
H.J. Li
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, P.R. China ; Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou, 730050, P.R. China

Corresponding Author(s) : X.J. Du

8843079@qq.com

Asian Journal of Chemistry, Vol. 25 No. 3 (2013): Vol 25 Issue 3

Abstract

A novel clonal selection algorithm (NSCA) was proposed in this work and we introduced the novel clonal selection algorithm into the wastewater treatment activated sludge process for multivariable optimal control with the lowest operational costs by limiting total substrate discharge mass. A simulation results shows that the new method is efficient and also provides a new approach for other optimal control problem.

Keywords

Clonal selection algorithm Multivariable optimal control Activated sludge process
Du, X., Hao, X., Yu, P., Gu, Q., & Li, H. (2012). A Novel Clonal Selection Algorithm for Multivariable Optimal Control of Activated Sludge Process. Asian Journal of Chemistry, 25(3), 1579–1582. https://doi.org/10.14233/ajchem.2013.13236
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