Parameter estimation of DC motor through whale optimization algorithm Article Swipe
Byamakesh Nayak
,
Sangeeta Sahu
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.11591/ijpeds.v10.i1.pp83-92
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.11591/ijpeds.v10.i1.pp83-92
This article estimates the unknown dc motor parameters by adapting the adaptive model with the reference model created by experimental data onto armature current and speed response from separately excited dc motor .The field flux dynamics, which is usually ignored, is included to model the dynamics of the motor. The block diagram including the flux dynamics and model parameters is considered as the adaptive model. The integral time square error between the instant experimental data and the corresponding adaptive model data is taken as cost function. The Whale optimization algorithm is used to minimize the cost function. Additionally, to improve the performances of optimization algorithm and for accurate result, the experimental data is divided into three intervals which form the three inequality constraints. A fixed penalty value is added to the cost function for violating these constraints. The effectiveness of estimation with two different methods is validated by convergence curve.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11591/ijpeds.v10.i1.pp83-92
- http://ijpeds.iaescore.com/index.php/IJPEDS/article/download/14103/10884
- OA Status
- diamond
- Cited By
- 26
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2901890846
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2901890846Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11591/ijpeds.v10.i1.pp83-92Digital Object Identifier
- Title
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Parameter estimation of DC motor through whale optimization algorithmWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-01-26Full publication date if available
- Authors
-
Byamakesh Nayak, Sangeeta SahuList of authors in order
- Landing page
-
https://doi.org/10.11591/ijpeds.v10.i1.pp83-92Publisher landing page
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https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/14103/10884Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/14103/10884Direct OA link when available
- Concepts
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DC motor, Computer science, Convergence (economics), Control theory (sociology), Algorithm, Mathematical optimization, Mathematics, Artificial intelligence, Physics, Control (management), Quantum mechanics, Economics, Economic growthTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
26Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 2, 2023: 4, 2022: 5, 2021: 3Per-year citation counts (last 5 years)
- References (count)
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20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.minimize | 93 |
| abstract_inverted_index.response | 26 |
| abstract_inverted_index.algorithm | 89, 104 |
| abstract_inverted_index.different | 143 |
| abstract_inverted_index.dynamics, | 35 |
| abstract_inverted_index.estimates | 2 |
| abstract_inverted_index.function. | 85, 96 |
| abstract_inverted_index.including | 52 |
| abstract_inverted_index.intervals | 116 |
| abstract_inverted_index.reference | 15 |
| abstract_inverted_index.validated | 146 |
| abstract_inverted_index.violating | 134 |
| abstract_inverted_index.considered | 60 |
| abstract_inverted_index.estimation | 140 |
| abstract_inverted_index.inequality | 121 |
| abstract_inverted_index.parameters | 7, 58 |
| abstract_inverted_index.separately | 28 |
| abstract_inverted_index.convergence | 148 |
| abstract_inverted_index.constraints. | 122, 136 |
| abstract_inverted_index.experimental | 19, 73, 110 |
| abstract_inverted_index.optimization | 88, 103 |
| abstract_inverted_index.performances | 101 |
| abstract_inverted_index.Additionally, | 97 |
| abstract_inverted_index.corresponding | 77 |
| abstract_inverted_index.effectiveness | 138 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.47999998927116394 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.91335923 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |