DocumentCode :
2647221
Title :
Design of robust optimal Linear Parameter Varying (LPV) controller for DC servo system
Author :
Aydin, Yucel
Author_Institution :
Control Eng. Dept., ITU, Istanbul, Turkey
fYear :
2010
fDate :
6-8 Sept. 2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents the design of a robust optimal control system satisfying some system performance constraints The design problem is a problem of dynamic feedback, mixed H2/H robust optimal control systems with multi constraints and parametric uncertainties. The main purpose of the robust optimal Linear Parameter Varying (LPV) control is to parametrize a controller via a linear convex combination of all controllers minimizing mixed H2/H norm of the closed loop transfer function matrix under parametric uncertainties and some constraints. In this paper, mixed H2/H performance index is minimized under the constraints of H2 performance, H performance, control input constraints and the regional pole placement. The LPV control synthesis with multi constraints is formulated as a convex optimization problem involving Linear Matrix Inequalities(LMIs). A linear parameter varying (LPV) controller design example for the control of a DC servo motor system is presented.
Keywords :
DC motors; H control; closed loop systems; control system synthesis; linear matrix inequalities; linear systems; robust control; servomotors; DC servo system; closed loop transfer function matrix; dynamic feedback; linear convex combination; linear matrix inequalities; mixed H2/H robust optimal control; regional pole placement; robust optimal linear parameter varying controller; Aerospace electronics; Linear matrix inequalities; Optimal control; Robustness; Servomotors; Uncertain systems; DC Servo Motor System; Linear Parameter Varying (LPV) Controller; Linear matrix Inequality(LMI); Parametric Uncertainity; Regional Pole Placement; Robust Control; mixed H2 / H Optimal Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines (ICEM), 2010 XIX International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-4174-7
Electronic_ISBN :
978-1-4244-4175-4
Type :
conf
DOI :
10.1109/ICELMACH.2010.5607850
Filename :
5607850
Link To Document :
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