We apply the model predictive control (MPC) strategy in an industrial setting, specifically for controlling the temperature of Combi Oven Professional Appliances. The proposed method takes into account input and output constraints, as well as the presence of multiple sources of disturbance. The workflow includes identifying and validating a model of the cell temperature and incorporating disturbance models. MPC is implemented using a state-space formulation. The proposed method shows significant energy saving and tracking error reduction with respect to the current oven control; its effectiveness has been demonstrated through several tests carried out on a professional oven.

Model Predictive Control for Temperature Regulation of Professional Ovens

Castellino, Juan Marcelo;Fenu, Gianfranco;Pellegrino, Felice Andrea
2023-01-01

Abstract

We apply the model predictive control (MPC) strategy in an industrial setting, specifically for controlling the temperature of Combi Oven Professional Appliances. The proposed method takes into account input and output constraints, as well as the presence of multiple sources of disturbance. The workflow includes identifying and validating a model of the cell temperature and incorporating disturbance models. MPC is implemented using a state-space formulation. The proposed method shows significant energy saving and tracking error reduction with respect to the current oven control; its effectiveness has been demonstrated through several tests carried out on a professional oven.
2023
979-8-3503-1141-9
979-8-3503-1140-2
https://ieeexplore.ieee.org/document/10284253
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3066798
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