Distributed intelligent self-organized mission planning of multi-UAV for dynamic targets cooperative search-attack

Zhen, Ziyang; Zhu, Ping; Xue, Yixuan; Ji, Yuxuan

doi:10.1016/j.cja.2019.05.012

“…As shown in Table 3, when the same number of UAVs is deployed and the same amount of ammunition is given, both the nearestneighbor method proposed in this paper and the method proposed in [18,23] can complete the task assignment. The total range of each method is about 2000 km and the total flight time is about 11 h. On the whole, both methods consume approximately the same amount of energy as well.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

“…The algorithms cannot be programed online in real time, however, making it difficult to respond to sudden threats. In an effort to remedy this, Ziyang Zhen et al [18] explored cooperative search-attack tasks with dynamic targets and threats and they proposed a distributed intelligent self-organizing task planning algorithm for multiple UAVs accordingly.…”

Section: Introductionmentioning

confidence: 99%

Multi-UAV Cooperative Task Assignment Based on Orchard Picking Algorithm

Liu¹,

Zheng²,

Garg³

2021

IJCIS

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The multi-unmanned aerial vehicle (UAV) must autonomously perform reconnaissance-attack-evaluation tasks under multiple constraints in the battlefield environment. This paper proposes a nearest neighbor method designed with the shortest neighboring distance as an indicator which quickly solves the optimal sequence of multiple tasks for cooperative execution. Each target to be destroyed requires a different quantity of ammunition; a cooperative task assignment model for heterogeneous UAVs is established accordingly. Based on the nearest neighbor method, and with reference to fruit-picking techniques currently in use, a novel "orchard picking algorithm (OPA)" is investigated as well. This algorithm proposed in this paper is a heuristic algorithm, which has a broad application prospect in complex task assignment. A cooperative attack task assignment is simulated to test the performance of the algorithm. In essence, it balances the assignment of tasks, works within a brief execution time, and exhibits high flexibility, strong robustness, and scalability.

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“…  (27) where pindc is the priority of individual stealth indicator. At this time, priority is given to the individual whose RCS mean indicator performs better.…”

Section: Comprehensive Stealth Designmentioning

confidence: 99%

Joint Improvements of Radar/infrared Stealth for Exhaust System of Unmanned Aircraft Based on Sorting Factor Pareto Solution

Zhou

¹

,

Huang

²

2020

Preprint

0

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In order to reduce the radar cross section (RCS) of the unmanned aircraft while suppressing its infrared signature, a comprehensive design method (CDM) based on sorting factor Pareto solution is presented. The physical optics and physical diffraction theory are used to evaluate the electromagnetic scattering characteristics of the aircraft, and the Monte Carlo and ray tracing method are used to evaluate the infrared radiation intensity of the exhaust system. CDM is used to evaluate and screen each individual in each offspring, and the design parameters and sub-models of the aircraft exhaust system are continuously improved. The results show that the exhaust port model, lower baffle and nozzle height are the main factors affecting the RCS indicators, nozzle stages, exhaust port model, lower baffle and outer width make the main contribution to infrared radiation suppression. The presented CDM is efficient and effective in enhancing the radar/infrared integrated stealth performance of the aircraft.

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“…The comprehensive optimization method based on Pareto solution can also give a better solution to the needs of many aspects of stealth 25 , 26 . The continuous development of various technologies of unmanned bombers 27 has also prompted its radar stealth design and infrared radiation suppression to achieve a better balance.…”

Section: Introductionmentioning

confidence: 99%

Joint improvements of radar/infrared stealth for exhaust system of unmanned aircraft based on sorting factor Pareto solution

Ze

¹

,

Huang

²

2021

Sci Rep

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In order to reduce the radar cross section (RCS) of the unmanned aircraft while suppressing its infrared signature, a comprehensive design method (CDM) based on sorting factor Pareto solution is presented. The physical optics and physical diffraction theory are used to evaluate the electromagnetic scattering characteristics of the aircraft, and the Monte Carlo and ray tracing method are used to evaluate the infrared radiation intensity of the exhaust system. CDM is used to evaluate and screen each individual in each offspring, and the design parameters and sub-models of the aircraft exhaust system are continuously improved. The results show that the exhaust port model, lower baffle and nozzle height are the main factors affecting the RCS indicators, nozzle stages, exhaust port model, lower baffle and outer width make the main contribution to infrared radiation suppression. The presented CDM is efficient and effective in enhancing the radar/infrared integrated stealth performance of the aircraft.

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Distributed intelligent self-organized mission planning of multi-UAV for dynamic targets cooperative search-attack

Cited by 88 publications

References 18 publications

Multi-UAV Cooperative Task Assignment Based on Orchard Picking Algorithm

Multi-UAV Cooperative Task Assignment Based on Orchard Picking Algorithm

Joint Improvements of Radar/infrared Stealth for Exhaust System of Unmanned Aircraft Based on Sorting Factor Pareto Solution

Joint improvements of radar/infrared stealth for exhaust system of unmanned aircraft based on sorting factor Pareto solution

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