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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Bibliographic Details
Published inJournal of physics. Conference series Vol. 783; no. 1; pp. 12029 - 12040
Main Authors Pour, Fatemeh Karimi, Ocampo-Martinez, Carlos, Puig, Vicenç
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.01.2017
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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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/783/1/012029