DocumentCode
189197
Title
μ-synthesis with dynamic D-scalings using Quantum Particle Swarm Optimization
Author
Feyel, Philippe ; Duc, Gilles ; Sandou, Guillaume
Author_Institution
Optronics & Defense Div., Sagem Defense & Security (Safran group), Massy, France
fYear
2014
fDate
24-27 June 2014
Firstpage
606
Lastpage
611
Abstract
This paper proposes to revisit the μ-synthesis problem with a recent and efficient meta-heuristic called Quantum Particle Swarm Optimization (QPSO). This algorithm allows optimizing dynamic (or static) D-scalings without fitting them, which leads to robust performance controllers. This method has been applied successfully to a classical flexible plant control problem with a reasonable computation time.
Keywords
control system synthesis; particle swarm optimisation; robust control; μ-synthesis problem; dynamic D-scalings; flexible plant control problem; meta-heuristic; mu-synthesis; quantum particle swarm optimization; robust performance controllers; Convergence; Optimization; Particle swarm optimization; Periodic structures; Robustness; Stability analysis; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2014 European
Conference_Location
Strasbourg
Print_ISBN
978-3-9524269-1-3
Type
conf
DOI
10.1109/ECC.2014.6862395
Filename
6862395
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