DocumentCode
2322148
Title
Structured mixed-sensitivity H∞ design using Particle Swarm Optimization
Author
Bouallègue, Soufiene ; Haggege, Joseph ; Benrejeb, Mohamed
Author_Institution
UR. LA.R.A. Autom., Ecole Nat. d´´Ing. de Tunis (ENIT), Tunis, Tunisia
fYear
2010
fDate
27-30 June 2010
Firstpage
1
Lastpage
6
Abstract
In this paper, a new structured mixed-sensitivity ℋ∞ design approach, using Particle Swarm Optimization (PSO) technique, is proposed. The case study of an electrical DC drive benchmark is adopted to illustrate the efficiency and viability of the proposed control approach. The optimization based synthesis problem is formulated and solved by a constrained PSO algorithm. In the proposed control strategy, a PID controller´s structure is adopted. Simulations and experimental results show the advantages of simple structure, lower order and robustness of the proposed controller. A comparison to another similar evolutionary algorithm, such as Genetic Algorithm (GA), shows the superiority of the PSO-based method to solve the formulated optimization problem.
Keywords
H∞ control; control system synthesis; electric drives; machine control; particle swarm optimisation; three-term control; PID controller; constrained PSO algorithm; electrical DC drive; genetic algorithm; particle swarm optimization; structured mixed sensitivity H∞ design; synthesis problem; Indexes; Optimization; ℋ∞ design; PID controller; electrical DC drive; particle swarm optimization; real-time experimentation; structured synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Signals and Devices (SSD), 2010 7th International Multi-Conference on
Conference_Location
Amman
Print_ISBN
978-1-4244-7532-2
Type
conf
DOI
10.1109/SSD.2010.5585547
Filename
5585547
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