Two‐level global sensitivity analysis of the excitation contributions leading to acoustic noise in an electric motor for the purpose of robust optimisation
Abstract This study presents a sensitivity analysis methodology used for electric motor design. This innovative approach evaluates both global effects of parameter variations in their design range and of parameter deviations in their tolerance intervals on design objectives. For the purpose of robus...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-12-01
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| Series: | IET Electric Power Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/elp2.12129 |
| _version_ | 1811283101696917504 |
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| author | Martin Jeannerot Morvan Ouisse Vincent Lanfranchi Jean‐Baptiste Dupont Emeline Sadoulet‐Reboul |
| author_facet | Martin Jeannerot Morvan Ouisse Vincent Lanfranchi Jean‐Baptiste Dupont Emeline Sadoulet‐Reboul |
| author_sort | Martin Jeannerot |
| collection | DOAJ |
| description | Abstract This study presents a sensitivity analysis methodology used for electric motor design. This innovative approach evaluates both global effects of parameter variations in their design range and of parameter deviations in their tolerance intervals on design objectives. For the purpose of robust optimisation, this method helps to select the most influent design parameters and uncertain parameters, which are not necessarily the same. Suitable for any design approach, this method is particularly useful in dealing with objectives defined by non‐linear and non‐regular functions, such as electric motor acoustic criteria. In this study, the method is applied to the sensitivity evaluation of electromagnetic tangential excitations responsible for acoustic emissions in an electric motor. The sensitivity of output mean torque is also investigated. The sensitivity analysis shows that acoustic criteria appear generally more sensitive to parameter deviations than mean torque. Parameter deviations can be even more influent on acoustic criteria than larger parameter variations in their design range. As can be expected from the sensitivity results, the study eventually shows that the acoustic optimisation of the electric motor faces robustness issues. |
| first_indexed | 2024-04-13T02:05:36Z |
| format | Article |
| id | doaj.art-149c1699d2284790bdd8ec35b4a8600f |
| institution | Directory Open Access Journal |
| issn | 1751-8660 1751-8679 |
| language | English |
| last_indexed | 2024-04-13T02:05:36Z |
| publishDate | 2021-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Electric Power Applications |
| spelling | doaj.art-149c1699d2284790bdd8ec35b4a8600f2022-12-22T03:07:28ZengWileyIET Electric Power Applications1751-86601751-86792021-12-0115121666167710.1049/elp2.12129Two‐level global sensitivity analysis of the excitation contributions leading to acoustic noise in an electric motor for the purpose of robust optimisationMartin Jeannerot0Morvan Ouisse1Vincent Lanfranchi2Jean‐Baptiste Dupont3Emeline Sadoulet‐Reboul4Roberval (Mechanics, Energy and Electricity) Centre de Recherches de Royallieu Université de Technologie de Compiègne Compiègne FranceDepartment of Applied Mechanics FEMTO‐ST Institute Univ. Bourgogne Franche‐Comté Besançon FranceRoberval (Mechanics, Energy and Electricity) Centre de Recherches de Royallieu Université de Technologie de Compiègne Compiègne FranceNumerical Simulation Department Vibratec Ecully FranceDepartment of Applied Mechanics FEMTO‐ST Institute Univ. Bourgogne Franche‐Comté Besançon FranceAbstract This study presents a sensitivity analysis methodology used for electric motor design. This innovative approach evaluates both global effects of parameter variations in their design range and of parameter deviations in their tolerance intervals on design objectives. For the purpose of robust optimisation, this method helps to select the most influent design parameters and uncertain parameters, which are not necessarily the same. Suitable for any design approach, this method is particularly useful in dealing with objectives defined by non‐linear and non‐regular functions, such as electric motor acoustic criteria. In this study, the method is applied to the sensitivity evaluation of electromagnetic tangential excitations responsible for acoustic emissions in an electric motor. The sensitivity of output mean torque is also investigated. The sensitivity analysis shows that acoustic criteria appear generally more sensitive to parameter deviations than mean torque. Parameter deviations can be even more influent on acoustic criteria than larger parameter variations in their design range. As can be expected from the sensitivity results, the study eventually shows that the acoustic optimisation of the electric motor faces robustness issues.https://doi.org/10.1049/elp2.12129finite element analysis |
| spellingShingle | Martin Jeannerot Morvan Ouisse Vincent Lanfranchi Jean‐Baptiste Dupont Emeline Sadoulet‐Reboul Two‐level global sensitivity analysis of the excitation contributions leading to acoustic noise in an electric motor for the purpose of robust optimisation IET Electric Power Applications finite element analysis |
| title | Two‐level global sensitivity analysis of the excitation contributions leading to acoustic noise in an electric motor for the purpose of robust optimisation |
| title_full | Two‐level global sensitivity analysis of the excitation contributions leading to acoustic noise in an electric motor for the purpose of robust optimisation |
| title_fullStr | Two‐level global sensitivity analysis of the excitation contributions leading to acoustic noise in an electric motor for the purpose of robust optimisation |
| title_full_unstemmed | Two‐level global sensitivity analysis of the excitation contributions leading to acoustic noise in an electric motor for the purpose of robust optimisation |
| title_short | Two‐level global sensitivity analysis of the excitation contributions leading to acoustic noise in an electric motor for the purpose of robust optimisation |
| title_sort | two level global sensitivity analysis of the excitation contributions leading to acoustic noise in an electric motor for the purpose of robust optimisation |
| topic | finite element analysis |
| url | https://doi.org/10.1049/elp2.12129 |
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