NDLI: Particle swarm optimization-based fixed-structure ℋ $

Content Provider	Springer Nature Link
Author	Bouallègue, Soufiene Haggège, Joseph Benrejeb, Mohamed
Copyright Year	2011
Abstract	In this paper, a new robust fixed-structure ℋ $_{∞}$ controller design based on the Particle Swarm Optimization (PSO) technique is proposed. The optimization-based structured synthesis problem is formulated and solved by a constrained PSO algorithm. In the proposed approach, the ℋ $_{∞}$ controller’s structure is selectable. PI and PID controller structures are especially adopted. The case study of an electrical DC drive benchmark is adopted to illustrate the efficiency and viability of the proposed control approach. A comparison to another similar evolutionary algorithm, such as Genetic Algorithm Optimization (GAO), shows the superiority of the PSO-based method to solve the formulated optimization problem. Simulations and experimental results show the advantages of simple structure, lower order and robustness of the proposed controller.
Starting Page	258
Ending Page	266
Page Count	9
File Format	PDF
ISSN	15986446
Journal	International Journal of Control, Automation and Systems
Volume Number	9
Issue Number	2
e-ISSN	20054092
Language	English
Publisher	Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
Publisher Date	2011-04-02
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Electrical DC drive fixed-structure synthesis genetic algorithm ℋ$_{∞}$ control particle swarm optimization real-time experimentation Control Robotics Mechatronics
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications

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