Journal of System Simulation
Abstract
Abstract: The existing cooperative planning methods of multiple UAVs often carry out path planning and task allocation separatly, which causes the cooperative scheme not being the best in a complex environment. The cost matrix of multi-UAV cooperative reconnaissance on heterogeneous targets is established. Aiming at the various obstacle constraints and the characteristics of UAV motion and track in complex environment, an improved PSO-AFSA is used to solve the single UAV track planning model. Hungarian algorithm is used to complete the cooperative allocation of reconnaissance tasks of UAVs. The simulation results show that the algorithm can make the flying range of single UAV shorter and the flight path smoother, and can realize the tight coupling with the task collaborative allocation, so and the total cost of the total flight range of UAV cluster is the lowest and the rationality of task allocation is improved.
Recommended Citation
Zhang, Fuzhen and Zhu, Yaoqin
(2022)
"Task Allocation Method for Multi-UAV Cooperative Reconnaissance in Complex Environment,"
Journal of System Simulation: Vol. 34:
Iss.
10, Article 19.
DOI: 10.16182/j.issn1004731x.joss.21-0552
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss10/19
First Page
2293
Revised Date
2021-07-30
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0552
Last Page
2302
CLC
TP391.9
Recommended Citation
Fuzhen Zhang, Yaoqin Zhu. Task Allocation Method for Multi-UAV Cooperative Reconnaissance in Complex Environment[J]. Journal of System Simulation, 2022, 34(10): 2293-2302.
DOI
10.16182/j.issn1004731x.joss.21-0552
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