Method for distributed control of centralized clustering formation of unmanned-plane cluster

A distributed control, UAV technology, applied in three-dimensional position/channel control, etc., can solve problems such as less feasibility and optimization research

Inactive Publication Date: 2014-05-07
BEIHANG UNIV
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Problems solved by technology

At present, UAV group formation control and formation transformation are mainly focused on the research direction of a single UAV, that is, from the perspective of a single UAV as a cluster of points, the division of task nature is considered to carry out route planning with fixed or semi-fixed formations; On

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  • Method for distributed control of centralized clustering formation of unmanned-plane cluster
  • Method for distributed control of centralized clustering formation of unmanned-plane cluster
  • Method for distributed control of centralized clustering formation of unmanned-plane cluster

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Embodiment Construction

[0025] The specific schematic examples of the present invention are described in detail below, and the corresponding flow charts and structures are shown in the accompanying drawings. Wherein the same or similar symbols throughout represent the same or similar components or components with the same or similar functions. The following examples represented by the description of the accompanying drawings are only used as reference examples of the method, and are only used to explain the present invention, rather than to limit the present invention.

[0026] The following disclosure provides a specific and specific example to describe the method of the present invention, just for the purpose of more detailed and obvious disclosure of the present invention, but this specific simplified example is only used as an example and cannot be limited to this example. The method disclosed in the present invention can provide many different examples and examples to realize the corresponding s...

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Abstract

The invention provides a method for distributed control of centralized clustering formation of an unmanned-plane cluster. The method includes the following steps: 1. determining unmanned-plane-cluster task nature of each task in a task chain and determining a feasible unmanned-plane formation form according to a flying environment; 2. establishing a formation optimization priority set for the unmanned-plane cluster from the feasible formation form and modeling, and determining static or dynamic optimization priority sets of different tasks according to different task targets; 3. according to optimization indexes of the tasks, selecting an optimal task formation or a suboptimum task formation, which complies with performance indexes, from a formation method of the static optimization set or the dynamic optimization set. The method for the distributed control of the centralized clustering formation of the unmanned-plane cluster is capable of efficiently, intelligently and flexibly changing and selecting a coordinative formation of an unmanned-plane cluster and has the advantages of being safe, stable and reliable.

Description

technical field [0001] The invention relates to the field of formation transformation and control of a multi-task unmanned aerial vehicle group with a clustered formation, in particular to a method for distributed control of a clustered formation in a cluster of unmanned aerial vehicles. Background technique [0002] Unmanned aerial vehicles (UAVs) are important combat weapons in modern warfare. They can replace manned aircraft to perform a variety of complex and dangerous tasks within a certain range. However, in future wars, only a single UAV will not be able to adapt to complex battlefield environments. UAV formations with effective coordination strategies can better complete tasks. Because the drone swarm composed of multiple drones can reduce the overall flight resistance, the aerodynamic efficiency, strike effect, success rate, detection range and evasion probability of the drone swarm are all improved. As a result, the drone group can have a relatively large range of...

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Application Information

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IPC IPC(8): G05D1/10
Inventor 王磊颜嵩林王艳风
Owner BEIHANG UNIV
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