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This paper investigates how to use robust model prediction control in air-conditioning systems. Air-conditioning processes are described using a first-order plus time-delay model associated with uncertainties in process gain, time constant and time-delay. An uncertainty polytope is developed to describe the corresponding uncertainties when the continuous model is sampled into a discrete one and further reformulated as a state-space model. Offline LMI-based MPC is then employed to design robust controller. In order to improve control performance, an operating mode identification scheme and a gain-scheduling scheme are also developed for application in air-conditioning systems.
Asian Control Conference, 2009. ASCC 2009. 7th
Date of Conference: 27-29 Aug. 2009