Comparative assessment of LPV-based predictive control strategies for a pasteurization plant
International Conference on Control, Decision and Information Technologies (CoDIT'17)
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 modeling 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.
control theory, optimisation.
F. Karimi, V. Puig and C. Ocampo-Martínez. Comparative assessment of LPV-based predictive control strategies for a pasteurization plant, 2017 International Conference on Control, Decision and Information Technologies , 2017, Barcelona, to appear.