Output-Feedback Model Predictive Control of a Pasteurization Pilot Plant based on an LPV model
This paper presents a model predictive control (MPC) of a pasteurization pilot plant based on an LPV model. Since not all the states are measured, an observer is also designed, which allows implementing an output-feedback MPC scheme. However, the model of the plant is not completely observable when...
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Published in | Journal of physics. Conference series Vol. 783; no. 1; pp. 12029 - 12040 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.01.2017
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Subjects | |
Online Access | Get full text |
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Summary: | This paper presents a model predictive control (MPC) of a pasteurization pilot plant based on an LPV model. Since not all the states are measured, an observer is also designed, which allows implementing an output-feedback MPC scheme. However, the model of the plant is not completely observable when augmented with the disturbance models. In order to solve this problem, the following strategies are used: (i) the whole system is decoupled into two subsystems, (ii) an inner state-feedback controller is implemented into the MPC control scheme. A real-time example based on the pasteurization pilot plant is simulated as a case study for testing the behavior of the approaches. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/783/1/012029 |