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Optimization-based Distributed Flocking Control for Drone Networks under Input Disturbances
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- KATO Keisuke
- School of Science and Technology, Meiji University
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- IBUKI Tatsuya
- School of Science and Technology, Meiji University
Bibliographic Information
- Other Title
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- 入力外乱を考慮した最適化に基づくドローンネットワークの分散群れ制御
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Description
<p>This paper presents a distributed flocking control methodology for a group of multirotor UAVs (drones) under input disturbances. The proposed method follows Reynolds's three flocking rules: cohesion; alignment; and separation. Each drone determines its velocity control input by solving a fully distributed optimization problem with the constraints for these three rules. Here, the conflict between cohesion and separation is handled by adding a relaxation term to the constraint for cohesion. Moreover, the effect of input disturbances, evaluated in preliminary experiments, is incorporated into the constraint for separation. The effectiveness of the proposed flocking control method is demonstrated via simulation and hardware experiments.</p>
Journal
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- Transactions of the Society of Instrument and Control Engineers
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Transactions of the Society of Instrument and Control Engineers 59 (3), 128-135, 2023
The Society of Instrument and Control Engineers
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Details 詳細情報について
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- CRID
- 1390858608267293824
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- ISSN
- 18838189
- 04534654
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- Crossref
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed