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 |
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09.08.2015
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| Abstract | 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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| AbstractList | 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. |
| Author | Smith, Alexander C. El-Wakeel, Amged S. |
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| Cites_doi | 10.1016/j.epsr.2014.05.003 10.1007/BFb0040812 10.1109/TMAG.2010.2085034 10.3923/ijscomp.2012.58.62 10.1093/oso/9780198593836.001.0001 10.1155/2012/607418 10.1080/15325008.2014.981320 10.1109/20.767366 10.1109/20.497467 |
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| References | cit0011 cit0012 cit0020 cit0031 El-Telbany M.E.-S. (cit0005) 2007; 7 El-Wakeel A.S. (cit0006) 2013; 4 Gaing Z.-L. (cit0007) 2004; 19 (cit0032) 2014 Ramamoorty M. (cit0022) 1988 cit0026 cit0016 cit0027 cit0013 Neittaanmaki P. (cit0021) 1996 cit0024 cit0025 |
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| SubjectTerms | 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 |
| Title | Hybrid Fuzzy-particle Swarm Optimization-simplex (F-PSO-S) Algorithm for Optimum Design of PM Drive Couplings |
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