Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic Targets
To solve the problem of collaborative search mission planning (CSMP) for a heterogeneous unmanned aerial vehicle (UAV) swarm for dynamic targets, this paper proposes a new CSMP scheme for a heterogeneous UAV swarm. First, a new polar coordinate system motion method is used to establish the UAV motio...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/6643424 |
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| _version_ | 1832546124800458752 |
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| author | Kaixin Cheng Tao Hu Di Wu Tingli Li Shu Wang Kaiyue Liu Zhifu Tian Dong Yi |
| author_facet | Kaixin Cheng Tao Hu Di Wu Tingli Li Shu Wang Kaiyue Liu Zhifu Tian Dong Yi |
| author_sort | Kaixin Cheng |
| collection | DOAJ |
| description | To solve the problem of collaborative search mission planning (CSMP) for a heterogeneous unmanned aerial vehicle (UAV) swarm for dynamic targets, this paper proposes a new CSMP scheme for a heterogeneous UAV swarm. First, a new polar coordinate system motion method is used to establish the UAV motion model and decision input solution model, which effectively solves the path-unified coding problem of a heterogeneous UAV swarm. Then, in the mission area, a dynamically updated multisearch situation map model is established. Finally, to improve the global searching capability of a UAV, an improved path optimization algorithm PSO-Rolling Horizon Control (PSO-RHC) is designed. Multiple Monte Carlo simulations are performed for three time-sensitive moving target types and three constraint types. The simulation results show that the task execution efficiency indexes of the proposed scheme for the decision input solution model, pheromone update mechanism, and optimization algorithm are improved by 188%, 72%, and 102%, respectively, and the overall performance is improved by 227%. |
| format | Article |
| id | doaj-art-418bde0f54ae469ea02575efc7482e86 |
| institution | Kabale University |
| issn | 1687-5974 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-418bde0f54ae469ea02575efc7482e862025-02-03T07:23:45ZengWileyInternational Journal of Aerospace Engineering1687-59742024-01-01202410.1155/2024/6643424Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic TargetsKaixin Cheng0Tao Hu1Di Wu2Tingli Li3Shu Wang4Kaiyue Liu5Zhifu Tian6Dong Yi7College of Data Target EngineeringCollege of Data Target EngineeringCollege of Data Target EngineeringCollege of Data Target EngineeringCollege of Data Target EngineeringCollege of Data Target EngineeringCollege of Data Target EngineeringCollege of Data Target EngineeringTo solve the problem of collaborative search mission planning (CSMP) for a heterogeneous unmanned aerial vehicle (UAV) swarm for dynamic targets, this paper proposes a new CSMP scheme for a heterogeneous UAV swarm. First, a new polar coordinate system motion method is used to establish the UAV motion model and decision input solution model, which effectively solves the path-unified coding problem of a heterogeneous UAV swarm. Then, in the mission area, a dynamically updated multisearch situation map model is established. Finally, to improve the global searching capability of a UAV, an improved path optimization algorithm PSO-Rolling Horizon Control (PSO-RHC) is designed. Multiple Monte Carlo simulations are performed for three time-sensitive moving target types and three constraint types. The simulation results show that the task execution efficiency indexes of the proposed scheme for the decision input solution model, pheromone update mechanism, and optimization algorithm are improved by 188%, 72%, and 102%, respectively, and the overall performance is improved by 227%.http://dx.doi.org/10.1155/2024/6643424 |
| spellingShingle | Kaixin Cheng Tao Hu Di Wu Tingli Li Shu Wang Kaiyue Liu Zhifu Tian Dong Yi Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic Targets International Journal of Aerospace Engineering |
| title | Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic Targets |
| title_full | Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic Targets |
| title_fullStr | Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic Targets |
| title_full_unstemmed | Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic Targets |
| title_short | Heterogeneous UAV Swarm Collaborative Search Mission Path Optimization Scheme for Dynamic Targets |
| title_sort | heterogeneous uav swarm collaborative search mission path optimization scheme for dynamic targets |
| url | http://dx.doi.org/10.1155/2024/6643424 |
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