Recent Metha-Heuristic Algorithms in High Induction Motor Design: A Comparison Study
The design of the electrical machines is a complicated process. On top of that, it follows the objective physical and mathematical principles, but on the other hand, knowledge of these principles is often insufficient to produce a correct and economic design, and must be complete by considerable jud...
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| Format: | Article |
| Language: | English |
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IFSA Publishing, S.L.
2021-04-01
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| Series: | Sensors & Transducers |
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| Online Access: | https://sensorsportal.com/HTML/DIGEST/april_2021/Vol_251/P_3225.pdf |
| _version_ | 1797750407501447168 |
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| author | Hania LADAYCIA |
| author_facet | Hania LADAYCIA |
| author_sort | Hania LADAYCIA |
| collection | DOAJ |
| description | The design of the electrical machines is a complicated process. On top of that, it follows the objective physical and mathematical principles, but on the other hand, knowledge of these principles is often insufficient to produce a correct and economic design, and must be complete by considerable judgment, rules of thumb and experience which can be acquired only after intensive training on the job. This paper carries out efficiency optimization of 37 kW, 380 V, 1800 synchronous r.p.m., three phase squirrel cage induction motor (SCIM) using two swarm intelligence techniques Firefly algorithm (FA) and accelerated particle swarm optimisation (APSO). A comparison between APSO and FA swarm techniques is done. Efficiency and power factor are achieved to the goal and efficiency results satisfies high efficiency level (IE 2 class > 93.0 %). APSO is the best method for optimization in comparison with FA if efficiency is to be optimized. |
| first_indexed | 2024-03-12T16:33:17Z |
| format | Article |
| id | doaj.art-3844266a38f643a08d1e37de87938141 |
| institution | Directory Open Access Journal |
| issn | 2306-8515 1726-5479 |
| language | English |
| last_indexed | 2024-03-12T16:33:17Z |
| publishDate | 2021-04-01 |
| publisher | IFSA Publishing, S.L. |
| record_format | Article |
| series | Sensors & Transducers |
| spelling | doaj.art-3844266a38f643a08d1e37de879381412023-08-08T15:23:34ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792021-04-0125145660Recent Metha-Heuristic Algorithms in High Induction Motor Design: A Comparison StudyHania LADAYCIA0University of 20 Août 1955, Department of Electrical EngineeringThe design of the electrical machines is a complicated process. On top of that, it follows the objective physical and mathematical principles, but on the other hand, knowledge of these principles is often insufficient to produce a correct and economic design, and must be complete by considerable judgment, rules of thumb and experience which can be acquired only after intensive training on the job. This paper carries out efficiency optimization of 37 kW, 380 V, 1800 synchronous r.p.m., three phase squirrel cage induction motor (SCIM) using two swarm intelligence techniques Firefly algorithm (FA) and accelerated particle swarm optimisation (APSO). A comparison between APSO and FA swarm techniques is done. Efficiency and power factor are achieved to the goal and efficiency results satisfies high efficiency level (IE 2 class > 93.0 %). APSO is the best method for optimization in comparison with FA if efficiency is to be optimized.https://sensorsportal.com/HTML/DIGEST/april_2021/Vol_251/P_3225.pdfmetaheuristicdesigninduction motorhigh efficiency |
| spellingShingle | Hania LADAYCIA Recent Metha-Heuristic Algorithms in High Induction Motor Design: A Comparison Study Sensors & Transducers metaheuristic design induction motor high efficiency |
| title | Recent Metha-Heuristic Algorithms in High Induction Motor Design: A Comparison Study |
| title_full | Recent Metha-Heuristic Algorithms in High Induction Motor Design: A Comparison Study |
| title_fullStr | Recent Metha-Heuristic Algorithms in High Induction Motor Design: A Comparison Study |
| title_full_unstemmed | Recent Metha-Heuristic Algorithms in High Induction Motor Design: A Comparison Study |
| title_short | Recent Metha-Heuristic Algorithms in High Induction Motor Design: A Comparison Study |
| title_sort | recent metha heuristic algorithms in high induction motor design a comparison study |
| topic | metaheuristic design induction motor high efficiency |
| url | https://sensorsportal.com/HTML/DIGEST/april_2021/Vol_251/P_3225.pdf |
| work_keys_str_mv | AT hanialadaycia recentmethaheuristicalgorithmsinhighinductionmotordesignacomparisonstudy |