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Title:Piecewise affine approximations for quality modeling and control of perishable foods
Authors:J. Xin, R.R. Negenborn, X. Lin

Journal:Journal of Optimal Control Applications and Methods

Abstract:This paper proposes a new methodology for modeling and controlling quality degradation of perishable foods when the zero-order kinetics are considered. This methodology approximates the nonlinear model of the zero-order quality kinetics using the Piecewise Affine (PWA) modeling representation. For obtaining a proper PWA model, two state-of-the-art methods are discussed and compared and eventually a hybrid identification-based PWA model is considered. This PWA model is then transformed into a computational Mixed Logic Dynamical (MLD) model, based on which an optimal control strategy is proposed that balances the food quality and associated energy consumption. Furthermore, model predictive control is proposed for improving energy efficiency when a dynamical weather environment is considered. Simulation experiments illustrate the potential of the proposed optimal controller and model predictive controller in a case study involving bighead carp.

Reference:J. Xin, R.R. Negenborn, X. Lin. Piecewise affine approximations for quality modeling and control of perishable foods. Accepted for publication in Journal of Optimal Control Applications and Methods, 2018.
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