Hybrid Fuzzy-particle Swarm Optimization-simplex (F-PSO-S) Algorithm for Optimum Design of PM Drive Couplings

This paper aimed at exploring the use of the proposed hybrid Fuzzy-Particle Swarm Optimization-Simplex (F-PSO-S) algorithm to optimize the structural design of PM couplings subject to several key design constraints. The new proposed hybrid optimization algorithm is constructed based on combining thr...

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Veröffentlicht in:Electric power components and systems Jg. 43; H. 13; S. 1560 - 1571
Hauptverfasser: El-Wakeel, Amged S., Smith, Alexander C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Philadelphia Taylor & Francis 09.08.2015
Taylor & Francis Ltd
Schlagworte:
Algorithms
Couplings
Design engineering
Design optimization
Electromagnetics
Fuzzy logic
fuzzy logic (FL)
hybrid optimization techniques
Joining
Mathematical functions
optimal design
Optimization
Optimization algorithms
particle swarm optimization (PSO)
permanent magnet couplings
Searching
Sensitivity analysis
Simplex method
simplex method (SM)
Swarm intelligence
ISSN:1532-5008, 1532-5016
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Zusammenfassung:This paper aimed at exploring the use of the proposed hybrid Fuzzy-Particle Swarm Optimization-Simplex (F-PSO-S) algorithm to optimize the structural design of PM couplings subject to several key design constraints. The new proposed hybrid optimization algorithm is constructed based on combining three well-known techniques: fuzzy logic (FL), particle swarm optimization (PSO), and simplex method (SM). FL is used to aggregate different scaling and/or conflicting objectives in one objective function using fuzzy combination operators. On the other hand, the PSO has obvious capabilities in global search whereas the SM has exceptional advantages in local search. As a hybrid algorithm, the F-PSO-S has the outstanding feature of combining the ability of global searching and local canvassing for different scales and/or conflicting objective functions. The proposed algorithm has been applied to permanent magnet (PM) drive couplings. A standard coupling design is used as a good initial point for the conventional SM and to define the performance constraints for the proposed optimization technique. New coupling designs are developed and optimized to show the superior capabilities of the F-PSO-S algorithm as a global optimization technique. The sensitivity analysis is also performed to identify the effects of different design parameters on the coupling performance.
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ISSN:1532-5008
1532-5016
DOI:10.1080/15325008.2015.1042598