DISTRIBUTED MPC FOR TRACKING. APPLICATION TO A 4 TANKS PLANT.

ANTONIO FERRAMOSCA; DANIEL LIMON; ALEJANDRO HERNAN GONZALEZ

Congreso; 23o Congreso Argentino de Control Automático; 2012

The problem of controlling large scale systems, usually divided into subsystemscontrolled by different agents, is solved using cooperative distributed control schemes, wherethe agents share open-loop information in order to improve closed-loop performance. In arecent paper, a cooperative distributed linear model predictive control strategy applicableto any finite number of subsystems, has been presented. This controller is able to steer thesystem to any admissible setpoint in an admissible way. Feasibility is ensured under anychanging of the target steady state. In this paper, this controller is applied to the plant proposedfor the HD-MPC Benchmark: the four tanks plant situated in the lab of the University ofSeville.