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A Riccati-genetic algorithms approach to fixed-structure controller synthesis
Publikationstyp
Conference Paper
Date Issued
2004
Sprache
English
Author(s)
Institut
Volume
3
Start Page
2799
End Page
2804
Citation
Proceedings of the 2004 American Control Conference ACC: 2799-2804 (2004)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
EEE
A practical approach to the design of controllers with fixed structure (low order, decentralized etc.) that can be tuned via H 2 or H∞ performance measures is proposed. The design problem is split into a convex subproblem that can involve a large number of decision variables, and a nonconvex subproblem with a small number of decision variables. The former problem can be solved with efficient Riccati solvers, while the latter one is solved using genetic algorithms. The proposed method is flexible and can be used for different H 2 or H∞ performance or robustness measures. In this paper low-order robust H 2 design and low-order decentralized mixed sensitivity design are presented. Application of these methods to a benchmark problem and a large scale industrial problem demonstrates that the approach is numerically efficient and leads to performance comparable or superior to that of previously published methods.
Subjects
Algebraic Riccati equation
Decentralized control
Fixed structure controller
Genetic algorithms
Robust control