Title :
Constraint fulfilment in control systems via predictive reference management
Author :
Bemporad, A. ; Mosca, E.
Author_Institution :
Adaptive Systems Lab., Florence Univ., Italy
Abstract :
The problem of satisfying input and state-dependent inequality constraints in feedback control systems is addressed. The proposed solution is based on predicting the evolution of the constrained vector and, accordingly, selecting online the future reference based on both the current state and the desired set-point changes. An analysis is presented so as to establish stability and offset-free properties of the method when embodied in an LQ regulated system. Finally, simulations are used to evaluate the achievable performance
Keywords :
control system analysis; feedback; linear quadratic control; predictive control; stability; LQ regulated system; constrained vector evolution prediction; constraint fulfilment; feedback control systems; input-dependent inequality constraints; offset-free properties; predictive reference management; stability; state-dependent inequality constraints; Adaptive control; Adaptive systems; Control systems; Feedback control; Laboratories; Mathematical programming; Predictive control; Programmable control; Stability analysis; Trajectory;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.411327
