Unmanned aerial vehicle cluster autonomous formation control method imitating migrant bird migration behavior

A control method and unmanned aerial vehicle technology, applied in the direction of non-electric variable control, control/adjustment system, three-dimensional position/channel control, etc., can solve the problem of high communication ability and computing ability, low reliability, and difficulty in meeting expectations Effect and other issues

Pending Publication Date: 2021-11-09
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

The long-leg method has strong scalability and lower requirements for group communication, but it depends on the state of a single target, and sometimes it is difficult to achieve the desired effect; the behavior-based method defines several basic control behaviors of UAVs, such as following , obstacle avoidance and formation maintenance, etc., but this method relies on preset information and trigger conditions to form control instructions, and the adaptability

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  • Unmanned aerial vehicle cluster autonomous formation control method imitating migrant bird migration behavior
  • Unmanned aerial vehicle cluster autonomous formation control method imitating migrant bird migration behavior
  • Unmanned aerial vehicle cluster autonomous formation control method imitating migrant bird migration behavior

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Embodiment Construction

[0053] The effectiveness of the method proposed by the present invention is verified below through a specific example of autonomous formation control of UAVs. The experimental computer configuration is Intel Core i7-8750H processor, 2.20GHz main frequency, 16G memory, and the software is MATLAB2020a version.

[0054] The concrete steps of this method are as follows:

[0055] Step 1: UAV cluster initialization

[0056] Randomly generate the initial states of 5 UAVs: UAV 1 to UAV 5, the flight speeds are 210m / s, 195m / s, 175m / s, 200m / s and 230m / s respectively, along the X axis Forward flight, flight altitudes are 5000m, 5050m, 5100m, 4900m and 4800m respectively, space position coordinates are [0, -20], [0,10], [-10, -30], [-20,30] , and [-30,30], the heading angles are 15°, 20°, 10°, 0° and -10° respectively, and the altitude change rate is 0.

[0057] Step 2: Determine the main machine

[0058] Since the cluster is flying forward along the X axis, among the five drone clust...

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Abstract

The invention discloses an unmanned aerial vehicle cluster autonomous formation control method imitating a migrant bird migration behavior. The method comprises the implementation steps of 1, initializing an unmanned aerial vehicle cluster; 2, determining a lead aircraft; 3, determining a leader relationship among the unmanned aerial vehicles; 4, enabling the lead aircraft to judge whether obstacles exist in the front flight environment or not; 5, performing a barrier-free flight mode in the environment; 6, performing an obstacle flight mode in the environment; 7, updating a control instruction of the unmanned aerial vehicle pilot; and 8, performing formation reconstruction. The method aims at achieving autonomous formation flight of multiple unmanned aerial vehicles and simulating cluster behaviors shown by the migrant birds during long-distance migration, is used for designing an unmanned aerial vehicle cluster formation control strategy, improves the robustness of an unmanned aerial vehicle cluster and the adaptability to the environment, and effectively improves the autonomous ability level of the unmanned aerial vehicles.

Description

technical field [0001] The invention relates to an autonomous formation control method of an unmanned aerial vehicle group imitating the migratory behavior of migratory birds, and belongs to the field of autonomous control of unmanned aerial vehicles. Background technique [0002] UAV (Unmanned Aerial Vehicle, referred to as UAV) is the general term for unmanned aircraft. It is an aircraft controlled by radio remote control and its own program control device. It has the particularity of "unmanned platform and manned system". In recent years, due to the advantages of low construction and use costs, low ground support requirements, strong mobility, and low safety risk factor, UAVs have developed rapidly in military and civilian applications and have broad prospects. [0003] With the continuous development of UAV technology, the requirements and tasks of UAVs in practical applications are becoming more and more complex and diverse. Due to the small size and light weight of th...

Claims

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Application Information

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IPC IPC(8): G05D1/10
CPCG05D1/104
Inventor 段海滨彭雅兰魏晨邓亦敏吴江
Owner BEIHANG UNIV
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