The Parameters Identification of Magnetic Core Using Fruit Fly Optimization Algorithm
This paper is concerned about the parameters identification of the Jiles-Atherton hysteresis loop model using Fruit Fly Optimization Algorithm (FOA). An improved Fruit Fly optimization algorithm (IFOA) is proposed to overcome the drawback of FOA, such as easily falling into local optimum, low precis...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2016-08-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/3893 |
| _version_ | 1818923638983753728 |
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| author | W.J. Jiang Y.B. Shi W.J. Zhao X.X. Wang |
| author_facet | W.J. Jiang Y.B. Shi W.J. Zhao X.X. Wang |
| author_sort | W.J. Jiang |
| collection | DOAJ |
| description | This paper is concerned about the parameters identification of the Jiles-Atherton hysteresis loop model using Fruit Fly Optimization Algorithm (FOA). An improved Fruit Fly optimization algorithm (IFOA) is proposed to overcome the drawback of FOA, such as easily falling into local optimum, low precision, and poor stability. The IFOA has been applied to identify Jiles-Atherton model parameters of conventional non-oriented electrical steel. The simulation results are compared with those of FOA and Particle Swarm Optimization (PSO), which shows the modelled M - H curve obtained with IFOA is in good agreement with the measured M - H curve and IFOA method has the advantages of better global searching ability, higher precision and stability. |
| first_indexed | 2024-12-20T02:12:37Z |
| format | Article |
| id | doaj.art-27176c7fb45846cda1d87fa7efde0cc9 |
| institution | Directory Open Access Journal |
| issn | 2283-9216 |
| language | English |
| last_indexed | 2024-12-20T02:12:37Z |
| publishDate | 2016-08-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj.art-27176c7fb45846cda1d87fa7efde0cc92022-12-21T19:57:00ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162016-08-015110.3303/CET1651029The Parameters Identification of Magnetic Core Using Fruit Fly Optimization AlgorithmW.J. JiangY.B. ShiW.J. ZhaoX.X. WangThis paper is concerned about the parameters identification of the Jiles-Atherton hysteresis loop model using Fruit Fly Optimization Algorithm (FOA). An improved Fruit Fly optimization algorithm (IFOA) is proposed to overcome the drawback of FOA, such as easily falling into local optimum, low precision, and poor stability. The IFOA has been applied to identify Jiles-Atherton model parameters of conventional non-oriented electrical steel. The simulation results are compared with those of FOA and Particle Swarm Optimization (PSO), which shows the modelled M - H curve obtained with IFOA is in good agreement with the measured M - H curve and IFOA method has the advantages of better global searching ability, higher precision and stability.https://www.cetjournal.it/index.php/cet/article/view/3893 |
| spellingShingle | W.J. Jiang Y.B. Shi W.J. Zhao X.X. Wang The Parameters Identification of Magnetic Core Using Fruit Fly Optimization Algorithm Chemical Engineering Transactions |
| title | The Parameters Identification of Magnetic Core Using Fruit Fly Optimization Algorithm |
| title_full | The Parameters Identification of Magnetic Core Using Fruit Fly Optimization Algorithm |
| title_fullStr | The Parameters Identification of Magnetic Core Using Fruit Fly Optimization Algorithm |
| title_full_unstemmed | The Parameters Identification of Magnetic Core Using Fruit Fly Optimization Algorithm |
| title_short | The Parameters Identification of Magnetic Core Using Fruit Fly Optimization Algorithm |
| title_sort | parameters identification of magnetic core using fruit fly optimization algorithm |
| url | https://www.cetjournal.it/index.php/cet/article/view/3893 |
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