4.6 Article

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

Journal

CONTROL ENGINEERING PRACTICE
Volume 19, Issue 7, Pages 700-710

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.conengprac.2011.03.005

Keywords

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

Funding

  1. City University of Hong Kong [7008086-BST]

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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. (C) 2011 Elsevier Ltd. All rights reserved.

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