Making non-centralized a model predictive control scheme by using distributed Smith dynamics
10.1016/j.ifacol.2015.11.328
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/83498
Tipus de documentText en actes de congrés
Data publicació2015
Condicions d'accésAccés obert
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Abstract
This paper proposes a non--centralized Model Predictive Control (MPC) scheme for a system comprised by several sub-systems. Operational constraints for each subsystem are considered as well as a single coupled constraint on the control inputs that models a limitation of the emph{resource} supplied by the controller. If the underlying optimization problem is of large-scale nature, traditional MPC suffers from computational burden issues. A cause of this problem is the requirement of having centralized information to guarantee that the computed control actions satisfy the coupled constraint. In this work, a traditional MPC is made non--centralized by means of a strategy based on distributed population dynamics. The proposed methodology divides the problem into several local MPC controllers that coordinate their decisions by using a communication network without the need of a centralized scheme. It is proved that this methodology provides an optimal solution that satisfies both the operational constraints of each sub--system, and the coupled constraint of the control signals. Finally, the proposed method is compared with a traditional centralized MPC in an industrial problem that involves several continuously stirred tank reactors.
CitacióBarreiro, J., Obando, G., Ocampo-Martinez, C.A., Quijano, N. Making non-centralized a model predictive control scheme by using distributed Smith dynamics. A: IFAC Conference on Nonlinear Model Predictive Control. "5th IFAC Conference on Nonlinear Model Predictive Control, 2015, Seville, Vol 48:23 of IFAC-PapersOnLine, pp. 434-439, 2015.". Sevilla: 2015, p. 501-506.
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