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The pasteurization process is one of the most common treatments in the food industries in order to eliminate harmful pathogenic and spoilage microorganism. The process consists in maintaining a high temperature stablished during a short period of time (HTST). Most of the pasteurization plants are controlled by tradicional PID (ProportionasIntegral-Derivative). Much effort has been made to develop advanced controllers. However, an accurate model that describes the system is required. The main of the present project is to develop a dynamical model for a pasteurization plant for a real-time control. Experimental plant consists in a small-scale pasteurization plant PCT23 MKII completely monitorized owned by the enterprise Armfield. The first task refers to modelling the different elements of the plant. Each one is modelled using the physical principles resulting a nonlinear model. Different parameters of the proposed model are later estimated by experimental data. Finally, the complete model is validated by new experimental data. Linear parameter-varying (LPV) model represents a class of non-linear systems that can be controlled using powerful linear-like techniques. As a nonlinear model is proposed to describe the real system, the second task refers to develop LPV) model. Results shows that the proposed models fit the experimental data with an error lower than a 3 %. Advanced controllers could be designed using these models. As a first approach a PID controller has been designed. The control objective is leading the controlled variables (temperatures) in order to reach the set point rejecting the disturbances.

Treball de Fi de Màster. Màster universitari en Enginyeria Industrial. Escola Tècnica Superior d’Enginyeria Industrial de Barcelona (ETSEIB-UPC)., The pasteurization process is one of the most common treatments in the food industries in order to eliminate harmful pathogenic and spoilage microorganism. The process consists in maintaining a high temperature stablished during a short period of time (HTST). Most of the pasteurization plants are controlled by tradicional PID (ProportionasIntegral-Derivative). Much effort has been made to develop advanced controllers. However, an accurate model that describes the system is required. The main of the present project is to develop a dynamical model for a pasteurization plant for a real-time control. Experimental plant consists in a small-scale pasteurization plant PCT23 MKII completely monitorized owned by the enterprise Armfield. The first task refers to modelling the different elements of the plant. Each one is modelled using the physical principles resulting a nonlinear model. Different parameters of the proposed model are later estimated by experimental data. Finally, the complete model is validated by new experimental data. Linear parameter-varying (LPV) model represents a class of non-linear systems that can be controlled using powerful linear-like techniques. As a nonlinear model is proposed to describe the real system, the second task refers to develop LPV) model. Results shows that the proposed models fit the experimental data with an error lower than a 3 %. Advanced controllers could be designed using these models. As a first approach a PID controller has been designed. The control objective is leading the controlled variables (temperatures) in order to reach the set point rejecting the disturbances.

Dans le monde de la mécanique est indispensable que tous les solides qui sont en rotation soient équilibres. Un mobile bien équilibré permet un meilleur rendement et une performance optimale parce que le déséquilibrage provoque des vibrations. La finalité de ce projet est réaliser l'équilibrage dynamique d'un disque d'inertie, pour ça, un banc d'essai à échelle réduite doit être réalisé. Ce banc permettra de tester et roder un disque d'inertie et le régler en phase d'utilisation. Ce projet a débuté avec nous et il continuera les prochains semestres avec des autres étudiants. Ils continueront avec un banc d'essai plus grand et avec plus de puissance qui ressemble plus à la réalité de l'étude qu'on veut faire. Est pour ça que dans ce rapport on explique tous les problèmes surgis et les procédés suivis pour trouver la meilleure solution. La première étape a consisté à faire l'alimentation du moteur et l'asservissement en vitesse. La seconde étape est réaliser l'acquisition et le traitement du signal pour corriger les défauts. Finalement, la dernière étape est tester le disque d'inertie avec différents poids de 0,5, 1 et 2 N et voir s'il est bien équilibré ou non. Outgoing