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Model predictive control of VAV zone thermal systems concerning bi-linearity and gain nonlinearity

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    A new control strategy is proposed for zone thermal systems to deal with nonlinearities, uncertainties and constraints. The temperature control of VAV zone thermal systems is investigated. The system consists of two constrained processes: a zone temperature process with input-output bi-linearity and uncertainty, and a damper process with gain nonlinearity. Model predictive control is adopted for control design: a bilinear predictive controller is designed for the zone temperature process and a gain-scheduled robust predictive controller for the damper process. Both controllers deal with constraints directly and they operate in a cascaded manner. Case studies are given to show the effectiveness of the proposed strategy. © 2011 Elsevier Ltd.
    Original languageEnglish
    Pages (from-to)700-710
    JournalControl Engineering Practice
    Volume19
    Issue number7
    DOIs
    Publication statusPublished - Jul 2011

    Research Keywords

    • Air-conditioning systems
    • Bi-linearity
    • Cooling load uncertainty
    • Gain-scheduling
    • Model predictive control

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