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
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;
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
DOI :
10.1109/ECC.2014.6862395
