Title :
Model predictive control using segregated disturbance feedback
Author :
Wang, Chen ; Ong, Chong-Jin ; Sim, Melvyn
Author_Institution :
Dept. of Mech. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
This paper proposes a new control parametrization under Model Predictive Controller (MPC) framework for constrained linear discrete time systems with bounded additive disturbances. The parametrization takes the form of a piecewise affine disturbance feedback and is a generalization of the linear disturbance feedback proposed in the literature. Thus, performance of the resultant MPC controller may be improved. Properties and the numerical computations of the parametrization are discussed. Under mild assumptions of the disturbance set, the associated finite-horizon optimization can be computed efficiently. Stability of the closed-loop system with the proposed parametrization is also ensured.
Keywords :
closed loop systems; feedback; optimisation; predictive control; stability; closed-loop system stability; constrained linear discrete time systems; finite-horizon optimization; model predictive control; piecewise affine disturbance feedback; segregated disturbance feedback; Additives; Control systems; Discrete time systems; Linear feedback control systems; Mechanical engineering; Predictive control; Predictive models; Stability; State feedback; Time varying systems;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4587046