Artillery servo system auto-coupling PID control based on improved dung beetle optimizer Article Swipe
Kai Shen
,
Chongwei Han
,
Ye Liu
,
Yue Zhang
,
Xin Hu
,
Xin Zhao
,
Pu Dai
,
Qi Hao
,
Ziluo Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2891/10/102027
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2891/10/102027
This paper proposes an auto-coupling PID (ACPID) control strategy based on the improved dung beetle optimizer (IDBO) in light of the complex control problems, including nonlinearity, external interference, and internal uncertainty, encountered in artillery servo systems. First, an artillery servo system mathematical model was created. Second, we modified the dung beetle optimizer (DBO) algorithm by incorporating a Levy flight and mutation mechanism, an adaptive weight-changing spiral search approach, an enhanced boundary convergence factor, and PWLCM chaotic mapping. They made convergence go faster, convergence accuracy go higher, and the algorithm’s capacity to avoid local optima and global search got better. Next, we utilized IDBO to optimize ACPID’s speed factor. Finally, the simulation results demonstrated the potential applicability of IDBO-ACPID control in the field of artillery servo control, as evidenced by its quick response time, high control accuracy, strong anti-disturbance ability and robustness.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2891/10/102027
- OA Status
- diamond
- Cited By
- 1
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405848315
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405848315Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/2891/10/102027Digital Object Identifier
- Title
-
Artillery servo system auto-coupling PID control based on improved dung beetle optimizerWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-01Full publication date if available
- Authors
-
Kai Shen, Chongwei Han, Ye Liu, Yue Zhang, Xin Hu, Xin Zhao, Pu Dai, Qi Hao, Ziluo ZhangList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/2891/10/102027Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1742-6596/2891/10/102027Direct OA link when available
- Concepts
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Artillery, PID controller, Servo, Control theory (sociology), Computer science, Control engineering, Dung beetle, Coupling (piping), Control (management), Engineering, Ecology, Biology, Mechanical engineering, Artificial intelligence, Temperature control, ScarabaeidaeTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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12Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.strong | 137 |
| abstract_inverted_index.system | 41 |
| abstract_inverted_index.(ACPID) | 7 |
| abstract_inverted_index.Second, | 46 |
| abstract_inverted_index.ability | 139 |
| abstract_inverted_index.better. | 99 |
| abstract_inverted_index.chaotic | 76 |
| abstract_inverted_index.complex | 22 |
| abstract_inverted_index.control | 8, 23, 119, 135 |
| abstract_inverted_index.factor, | 73 |
| abstract_inverted_index.factor. | 108 |
| abstract_inverted_index.faster, | 82 |
| abstract_inverted_index.higher, | 86 |
| abstract_inverted_index.results | 112 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Finally, | 109 |
| abstract_inverted_index.accuracy | 84 |
| abstract_inverted_index.adaptive | 64 |
| abstract_inverted_index.boundary | 71 |
| abstract_inverted_index.capacity | 90 |
| abstract_inverted_index.control, | 126 |
| abstract_inverted_index.created. | 45 |
| abstract_inverted_index.enhanced | 70 |
| abstract_inverted_index.external | 27 |
| abstract_inverted_index.improved | 13 |
| abstract_inverted_index.internal | 30 |
| abstract_inverted_index.mapping. | 77 |
| abstract_inverted_index.modified | 48 |
| abstract_inverted_index.mutation | 61 |
| abstract_inverted_index.optimize | 105 |
| abstract_inverted_index.proposes | 3 |
| abstract_inverted_index.response | 132 |
| abstract_inverted_index.strategy | 9 |
| abstract_inverted_index.systems. | 36 |
| abstract_inverted_index.utilized | 102 |
| abstract_inverted_index.ACPID’s | 106 |
| abstract_inverted_index.accuracy, | 136 |
| abstract_inverted_index.algorithm | 54 |
| abstract_inverted_index.approach, | 68 |
| abstract_inverted_index.artillery | 34, 39, 124 |
| abstract_inverted_index.evidenced | 128 |
| abstract_inverted_index.including | 25 |
| abstract_inverted_index.optimizer | 16, 52 |
| abstract_inverted_index.potential | 115 |
| abstract_inverted_index.problems, | 24 |
| abstract_inverted_index.IDBO-ACPID | 118 |
| abstract_inverted_index.mechanism, | 62 |
| abstract_inverted_index.simulation | 111 |
| abstract_inverted_index.convergence | 72, 80, 83 |
| abstract_inverted_index.encountered | 32 |
| abstract_inverted_index.robustness. | 141 |
| abstract_inverted_index.demonstrated | 113 |
| abstract_inverted_index.mathematical | 42 |
| abstract_inverted_index.uncertainty, | 31 |
| abstract_inverted_index.algorithm’s | 89 |
| abstract_inverted_index.applicability | 116 |
| abstract_inverted_index.auto-coupling | 5 |
| abstract_inverted_index.incorporating | 56 |
| abstract_inverted_index.interference, | 28 |
| abstract_inverted_index.nonlinearity, | 26 |
| abstract_inverted_index.weight-changing | 65 |
| abstract_inverted_index.anti-disturbance | 138 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 9 |
| citation_normalized_percentile.value | 0.6943503 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |