INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
artículos
Título:
Cooperative distributed MPC for tracking
Autor/es:
ANTONIO FERRAMOSCA; DANIEL LIMON; IGNACIO ALVARADO; EDUARDO F. CAMACHO
Revista:
AUTOMATICA
Editorial:
PERGAMON-ELSEVIER SCIENCE LTD
Referencias:
Lugar: Amsterdam; Año: 2013 vol. 49 p. 906 - 914
ISSN:
0005-1098
Resumen:
This paper proposes a cooperative distributed linear model predictive control strategy for tracking changing setpoints, applicable to any finite number of subsystems. The proposed controller is able to drive the whole system to any admissible setpoint in an admissible way, ensuring feasibility under any change of setpoint. It also provides a larger domain of attraction than standard distributed MPC for regulation, due to the particular terminal constraint. Moreover, the controller ensures convergence to the centralized optimum, even in case of coupled constraints. This is possible thanks to the warm start used to initialize the optimization Algorithm, and to the design of the cost function, which integrates a Steady State Target Optimizer (SSTO). The controller is applied to a real 4 tanks plant.