Multi‐objective optimisation of the HSPMM rotor based on the multi‐physics surrogate model Article Swipe
Rui Dai
,
Yue Zhang
,
Tianyu Wang
,
Fengge Zhang
,
Chris Gerada
,
Yuan Zhang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1049/elp2.12126
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1049/elp2.12126
High‐speed permanent magnetic machine (HSPMM) is attracting more attention due to its high power density, compact size, small rotating inertia, and rapid response capability. However, the design of the HSPMM rotor is a non‐linear, multi‐physics coupled process that makes it difficult to build an accurate mathematical model for optimisation. This study proposes a multi‐objective optimisation method based on the multi‐physics surrogate model (MPSM). This method uses an MPSM to replace the finite element model (FEM) for optimisation, which can effectively solve the problem of non‐convergence and time consumption of the traditional FEM in the optimisation process. Finally, a 1.1 MW, 18,000 r/min HSPMM is produced and related experiments are carried out; the feasibility of the method proposed in this study for HSPMM optimisation is verified.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/elp2.12126
- OA Status
- gold
- Cited By
- 2
- References
- 25
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W3198742290Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1049/elp2.12126Digital Object Identifier
- Title
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Multi‐objective optimisation of the HSPMM rotor based on the multi‐physics surrogate modelWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-08-27Full publication date if available
- Authors
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Rui Dai, Yue Zhang, Tianyu Wang, Fengge Zhang, Chris Gerada, Yuan ZhangList of authors in order
- Landing page
-
https://doi.org/10.1049/elp2.12126Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://doi.org/10.1049/elp2.12126Direct OA link when available
- Concepts
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Surrogate model, Rotor (electric), Physics, Computer science, Statistical physics, Engineering, Mathematical optimization, Mathematics, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 1, 2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.a | 33, 53, 98 |
| abstract_inverted_index.an | 44, 67 |
| abstract_inverted_index.in | 93, 118 |
| abstract_inverted_index.is | 6, 32, 104, 124 |
| abstract_inverted_index.it | 40 |
| abstract_inverted_index.of | 28, 84, 89, 114 |
| abstract_inverted_index.on | 58 |
| abstract_inverted_index.to | 11, 42, 69 |
| abstract_inverted_index.1.1 | 99 |
| abstract_inverted_index.FEM | 92 |
| abstract_inverted_index.MW, | 100 |
| abstract_inverted_index.and | 21, 86, 106 |
| abstract_inverted_index.are | 109 |
| abstract_inverted_index.can | 79 |
| abstract_inverted_index.due | 10 |
| abstract_inverted_index.for | 48, 76, 121 |
| abstract_inverted_index.its | 12 |
| abstract_inverted_index.the | 26, 29, 59, 71, 82, 90, 94, 112, 115 |
| abstract_inverted_index.MPSM | 68 |
| abstract_inverted_index.This | 50, 64 |
| abstract_inverted_index.high | 13 |
| abstract_inverted_index.more | 8 |
| abstract_inverted_index.out; | 111 |
| abstract_inverted_index.that | 38 |
| abstract_inverted_index.this | 119 |
| abstract_inverted_index.time | 87 |
| abstract_inverted_index.uses | 66 |
| abstract_inverted_index.(FEM) | 75 |
| abstract_inverted_index.HSPMM | 30, 103, 122 |
| abstract_inverted_index.based | 57 |
| abstract_inverted_index.build | 43 |
| abstract_inverted_index.makes | 39 |
| abstract_inverted_index.model | 47, 62, 74 |
| abstract_inverted_index.power | 14 |
| abstract_inverted_index.r/min | 102 |
| abstract_inverted_index.rapid | 22 |
| abstract_inverted_index.rotor | 31 |
| abstract_inverted_index.size, | 17 |
| abstract_inverted_index.small | 18 |
| abstract_inverted_index.solve | 81 |
| abstract_inverted_index.study | 51, 120 |
| abstract_inverted_index.which | 78 |
| abstract_inverted_index.18,000 | 101 |
| abstract_inverted_index.design | 27 |
| abstract_inverted_index.finite | 72 |
| abstract_inverted_index.method | 56, 65, 116 |
| abstract_inverted_index.(HSPMM) | 5 |
| abstract_inverted_index.(MPSM). | 63 |
| abstract_inverted_index.carried | 110 |
| abstract_inverted_index.compact | 16 |
| abstract_inverted_index.coupled | 36 |
| abstract_inverted_index.element | 73 |
| abstract_inverted_index.machine | 4 |
| abstract_inverted_index.problem | 83 |
| abstract_inverted_index.process | 37 |
| abstract_inverted_index.related | 107 |
| abstract_inverted_index.replace | 70 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Finally, | 97 |
| abstract_inverted_index.However, | 25 |
| abstract_inverted_index.accurate | 45 |
| abstract_inverted_index.density, | 15 |
| abstract_inverted_index.inertia, | 20 |
| abstract_inverted_index.magnetic | 3 |
| abstract_inverted_index.process. | 96 |
| abstract_inverted_index.produced | 105 |
| abstract_inverted_index.proposed | 117 |
| abstract_inverted_index.proposes | 52 |
| abstract_inverted_index.response | 23 |
| abstract_inverted_index.rotating | 19 |
| abstract_inverted_index.attention | 9 |
| abstract_inverted_index.difficult | 41 |
| abstract_inverted_index.permanent | 2 |
| abstract_inverted_index.surrogate | 61 |
| abstract_inverted_index.verified. | 125 |
| abstract_inverted_index.attracting | 7 |
| abstract_inverted_index.capability. | 24 |
| abstract_inverted_index.consumption | 88 |
| abstract_inverted_index.effectively | 80 |
| abstract_inverted_index.experiments | 108 |
| abstract_inverted_index.feasibility | 113 |
| abstract_inverted_index.traditional | 91 |
| abstract_inverted_index.High‐speed | 1 |
| abstract_inverted_index.mathematical | 46 |
| abstract_inverted_index.optimisation | 55, 95, 123 |
| abstract_inverted_index.non‐linear, | 34 |
| abstract_inverted_index.optimisation, | 77 |
| abstract_inverted_index.optimisation. | 49 |
| abstract_inverted_index.multi‐physics | 35, 60 |
| abstract_inverted_index.multi‐objective | 54 |
| abstract_inverted_index.non‐convergence | 85 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5100333805 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I154099455 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.44278847 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |