Title :
A Matlab toolbox for LMI-based analysis and synthesis of LPV/LFT self-scheduled H∞ control systems
Author :
De Vito, Daniele ; Kron, Aymeric ; De Lafontaine, Jean ; Lovera, Marco
Author_Institution :
Politec. di Milano, Dipt. di Elettron. e Inf., Milan, Italy
Abstract :
When controlling a Linear Parameter Varying (LPV) system, a LPV regulator is advisable, since it ensures better performance than a simple Linear Time Invariant actually does. In fact, real-time scheduling to the variations of the system allows the achievement of stability and performance requirements for a number of operating points. Within this setting, this paper discusses a Matlab toolbox achieving a self-scheduled LPV controller for an LPV model of the plant, robust in an H∞ sense in the face of uncertainties affecting the system´s dynamics, through a Linear Matrix Inequality approach. The resulting algorithm alternatively implements synthesis and analysis steps, until the desired closed-loop performance level has been reached or no improvement between two successive steps arises.
Keywords :
H∞ control; control system analysis; control system synthesis; linear matrix inequalities; linear systems; scheduling; LMI-based analysis; LMI-based synthesis; LPV regulator; LPV/LFT control systems; Matlab toolbox; closed-loop performance level; linear fractional transformation; linear matrix inequalities; linear parameter varying system; linear time invariant; self-scheduled H∞ control systems; Algorithm design and analysis; Computational modeling; Control systems; Heuristic algorithms; Mathematical model; Robustness; Uncertainty;
Conference_Titel :
Computer-Aided Control System Design (CACSD), 2010 IEEE International Symposium on
Conference_Location :
Yokohama
Print_ISBN :
978-1-4244-5354-2
Electronic_ISBN :
978-1-4244-5355-9
DOI :
10.1109/CACSD.2010.5612696