Title :
Robust control and model and controller reduction of linear parameter varying systems
Author :
El-Zobaidi, Haitham ; Jaimoukha, Imad
Author_Institution :
Centre for Process Syst. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
In this paper we develop and demonstrate a linear parameter varying (LPV) stabilisation technique. The method systematically obtains a controller of a gain-scheduling nature that exhibits a certain level of robustness and performance for the LPV system. We propose a global approach to simultaneously design a robust controller as well as devise a procedure which uses the solution to the controller problem to both reduce the order of the plant and the order of the controller. The balancing method suggested has been proven to be suitable for both stable and unstable plants and the truncation procedure is shown to be directly related to the closed-loop performance level obtained. The solution employs convex optimisation solvers. To illustrate the design method, an unstable, high order, parameter driven Tokamak design example is presented where the aim is to robustly stabilise the plant as it varies along operating points
Keywords :
closed loop systems; control system synthesis; convex programming; linear systems; optimal control; reduced order systems; robust control; time-varying systems; LPV stabilisation; closed-loop performance level; controller reduction; convex optimisation solvers; gain-scheduling; linear parameter varying systems; model reduction; robust controller design; stable plants; truncation procedure; unstable high-order parameter-driven Tokamak; unstable plants; Control system synthesis; Control systems; Design methodology; Educational institutions; Medical control systems; Reduced order systems; Robust control; Stability; Systems engineering and theory; Tokamaks;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.757952