DocumentCode :
3309806
Title :
A Primal-Dual method for low order H controller synthesis
Author :
Ankelhed, Daniel ; Helmersson, Anders ; Hansson, Anders
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Linkoping, Sweden
fYear :
2009
fDate :
15-18 Dec. 2009
Firstpage :
6674
Lastpage :
6679
Abstract :
When designing robust controllers, H synthesis is a common tool to use. The controllers that result from these algorithms are typically of very high order, which complicates implementation. However, if a constraint on the maximum order of the controller is set, that is lower than the order of the (augmented) system, the problem becomes nonconvex and it is relatively hard to solve. These problems become very complex, even when the order of the system is low. The approach used in this work is based on formulating the constraint on the maximum order of the controller as a polynomial (or rational) equation. By using the fact that the polynomial (or rational) is non-negative on the feasible set, the problem is reformulated as an optimization problem where the nonconvex function is to be minimized over a convex set defined by linear matrix inequalities. The proposed method is evaluated together with a wellknown method from the literature. The results indicate that the proposed method performs slightly better.
Keywords :
H control; concave programming; control system synthesis; linear matrix inequalities; polynomials; H synthesis; linear matrix inequality; low order H controller synthesis; nonconvex function; nonconvex problem; optimization problem; polynomial equation; primal-dual method; rational equation; robust controller design; Automatic control; Control system synthesis; Control systems; Linear matrix inequalities; Linear systems; Polynomials; Riccati equations; Robust control; Symmetric matrices; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2009.5400422
Filename :
5400422
Link To Document :
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