Comparative assessment of LPV-based predictive control strategies for a pasteurization plant
Document typeConference report
Rights accessRestricted access - publisher's policy
This paper presents a comparative study of three different approaches to design Model Predictive Control (MPC) strategies for a pasteurization plant using Linear Parameter Varying (LPV) models. The first two methods consider the LPV model in the design of the MPC controller in two different manners. The last approach uses a Robust MPC controller for taking parameter variations of the LPV model into account. It is assumed that the disturbances are unknown but bounded and the zonotopic set representation is used for modelling the uncertainty. In addition, a comprehensive comparison of the closed-loop performance accounting the proposed approaches is carried out through a high-fidelity simulator of a utility-scale pasteurization plant.
CitationKarimi Pour, F., Puig, V., Ocampo-Martinez, C.A. Comparative assessment of LPV-based predictive control strategies for a pasteurization plant. A: 4th International Conference on Control, Decision and Information Technologies. "4th-2017 International Conference on Control, Decision and Information Technologies". Barcelona: 2017, p. 1-6.