Multivariable adaptive predictive model based control of a biodiesel transesterification reactor

Ho, Y.K. and Mjalli, F.S. and Yeoh, H.K. (2010) Multivariable adaptive predictive model based control of a biodiesel transesterification reactor. Journal of Applied Sciences, 10 (12). pp. 1019-1027. ISSN 1812-5654

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Abstract

To control biodiesel reactors with complex and highly nonlinear dynamics, the controller must be able to handle multivariable problems as well as to adapt to time-varying dynamics. In this work, a multivariable adaptive predictive model based control (i.e., the centralized adaptive Generalized Predictive Control, GPC) strategy was simulated on a validated mechanistic transesterification model. The Recursive Least Squares (RLS) algorithm was used for process model adaptation in the GPC framework. Simulation results revealed the superiority of the proposed centralized adaptive predictive control scheme as compared to the decentralized conventional PID controllers in terms of set point tracking, process interactions handling and resultant controller moves. Good load disturbance rejection properties were also demonstrated by the proposed control scheme.

Item Type: Article
Additional Information: Department of Chemical Engineering, Facultty of Engineering, University of Malaya, 50603 Kuala Lumpur, MALAYSIA--- http://dx.doi.org/10.3923/jas.2010.1019.1027
Uncontrolled Keywords: Biodiesel; Transesterification reactor; Generalized predictive control; Recursive least squares; adaptive predictive control; Centralized adaptive GPC
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr. Ho Yong Kuen
Date Deposited: 31 Oct 2014 01:40
Last Modified: 31 Oct 2014 02:06
URI: http://eprints.um.edu.my/id/eprint/11157

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