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Data-based internal model controller design for a class of nonlinear systems

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2 Author(s)
Kalmukale, A.G. ; Yokogawa Eng. Asia Pte Ltd., Singapore, Singapore ; Min-Sen Chiu

An internal model control (IMC) design strategy is proposed for a class of nonlinear systems that can be described by data-based modeling technique called just-in-time learning (JITL). The proposed controller consists of a conventional linear controller augmented by a series of correction terms to account for nonlinearities in the system. The resulting controller is shown to have superior performance when compared with a linear IMC controller. This is evaluated by a case study of a polymerization reactor.

Published in:

Control and Automation, 2005. ICCA '05. International Conference on  (Volume:1 )

Date of Conference:

26-29 June 2005