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|Title:||Robust multi-model predictive control of multi-zone thermal plate system|
|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.|
|Appears in Collections:||Scopus 2018|
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