Particle Swarm Optimization for Target Encirclement by a UAV Formation
This paper presents an idea of using particle swarm optimization (PSO) to tune the control system of a decentralized unmanned aerial vehicle (UAV) formation. Simulations were run on a consensus-based decentralized UAV formation. Vector field guidance was used to control the formation. A fitness func...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/33/1/15 |
| _version_ | 1797381194189373440 |
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| author | Tagir Muslimov |
| author_facet | Tagir Muslimov |
| author_sort | Tagir Muslimov |
| collection | DOAJ |
| description | This paper presents an idea of using particle swarm optimization (PSO) to tune the control system of a decentralized unmanned aerial vehicle (UAV) formation. Simulations were run on a consensus-based decentralized UAV formation. Vector field guidance was used to control the formation. A fitness function is proposed that is based not only on the error of distance to the circular path, but also on the relative inter-UAV distance error. To demonstrate the effectiveness of the proposed method, the obtained results of such tuning are compared to those obtainable by the conventional trial and error method. |
| first_indexed | 2024-03-08T20:47:50Z |
| format | Article |
| id | doaj.art-8527293f9f09431ba1fa7b91de196b9b |
| institution | Directory Open Access Journal |
| issn | 2673-4591 |
| language | English |
| last_indexed | 2024-03-08T20:47:50Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj.art-8527293f9f09431ba1fa7b91de196b9b2023-12-22T14:06:43ZengMDPI AGEngineering Proceedings2673-45912023-06-013311510.3390/engproc2023033015Particle Swarm Optimization for Target Encirclement by a UAV FormationTagir Muslimov0Ufa State Aviation Technical University, Ufa 450077, RussiaThis paper presents an idea of using particle swarm optimization (PSO) to tune the control system of a decentralized unmanned aerial vehicle (UAV) formation. Simulations were run on a consensus-based decentralized UAV formation. Vector field guidance was used to control the formation. A fitness function is proposed that is based not only on the error of distance to the circular path, but also on the relative inter-UAV distance error. To demonstrate the effectiveness of the proposed method, the obtained results of such tuning are compared to those obtainable by the conventional trial and error method.https://www.mdpi.com/2673-4591/33/1/15UAV formation flightcollective circumnavigationtarget trackingvector field guidancedrone flocking |
| spellingShingle | Tagir Muslimov Particle Swarm Optimization for Target Encirclement by a UAV Formation Engineering Proceedings UAV formation flight collective circumnavigation target tracking vector field guidance drone flocking |
| title | Particle Swarm Optimization for Target Encirclement by a UAV Formation |
| title_full | Particle Swarm Optimization for Target Encirclement by a UAV Formation |
| title_fullStr | Particle Swarm Optimization for Target Encirclement by a UAV Formation |
| title_full_unstemmed | Particle Swarm Optimization for Target Encirclement by a UAV Formation |
| title_short | Particle Swarm Optimization for Target Encirclement by a UAV Formation |
| title_sort | particle swarm optimization for target encirclement by a uav formation |
| topic | UAV formation flight collective circumnavigation target tracking vector field guidance drone flocking |
| url | https://www.mdpi.com/2673-4591/33/1/15 |
| work_keys_str_mv | AT tagirmuslimov particleswarmoptimizationfortargetencirclementbyauavformation |