Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/47539
Title: Robust multi-model predictive control of multi-zone thermal plate system
Authors: Poom Jatunitanon
Sarawoot Watechagit
Withit Chatlatanaguchai
Kasetsart University
Mahidol University
Keywords: Multidisciplinary
Issue Date: 1-Jan-2018
Citation: Songklanakarin Journal of Science and Technology. Vol.40, No.1 (2018), 205-218
Abstract: © 2018, Prince of Songkla University. All rights reserved. A modern controller was designed by using the mathematical model of a multi–zone thermal plate system. An important requirement for this type of controller is that it must be able to keep the temperature set-point of each thermal zone. The mathematical model used in the design was determined through a system identification process. The results showed that when the operating condition is changed, the performance of the controller may be reduced as a result of the system parameter uncertainties. This paper proposes a weighting technique of combining the robust model predictive controller for each operating condition into a single robust multi-model predictive control. Simulation and experimental results showed that the proposed method performed better than the conventional multi-model predictive control in rise time of transient response, when used in a system designed to work over a wide range of operating conditions.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044170758&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/47539
ISSN: 01253395
Appears in Collections:Scopus 2018

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