Discrete-time receding horizon optimal control is employed in model-based anti-windup augmentation. The optimal control formulation enables designs that minimize the mismatch between the unconstrained closed-loop response with a given controller and the constrained closed-loop response with anti-windup augmentation. Recently developed techniques for off-line computation of the constrained linear regulator's solution, which is piecewise affine, facilitate implementation. The resulting sampled-data, anti-windupclosed-loop system's properties are established and its performance is demonstrated on a simulation example.
Bemporad, A., Teel, A., Zaccarian, L. (2004). Anti-windup synthesis via sampled-data piecewise affine optimal control. AUTOMATICA, 40(4), 549-562 [10.1016/j.automatica.2003.11.004].
Anti-windup synthesis via sampled-data piecewise affine optimal control
ZACCARIAN, LUCA
2004-01-01
Abstract
Discrete-time receding horizon optimal control is employed in model-based anti-windup augmentation. The optimal control formulation enables designs that minimize the mismatch between the unconstrained closed-loop response with a given controller and the constrained closed-loop response with anti-windup augmentation. Recently developed techniques for off-line computation of the constrained linear regulator's solution, which is piecewise affine, facilitate implementation. The resulting sampled-data, anti-windupclosed-loop system's properties are established and its performance is demonstrated on a simulation example.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
