Robust multi-model predictive control of multi-zone thermal plate system
© 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 m...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/47539 |
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| Institution: | Mahidol University |
| Summary: | © 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. |
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