Unmanned aerial vehicle route planning method based on sparrow search algorithm

A track planning and search algorithm technology, applied in the field of UAV track planning based on the sparrow search algorithm, to achieve high solution accuracy, avoid local optimum and convergence, and good performance

Pending Publication Date: 2022-05-13
DONGHUA UNIV
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  • Application Information

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Problems solved by technology

However, each of the above algorithms has some limitations, and it is necessary to further mine the swarm intelligence optimization algorithm.

Method used

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  • Unmanned aerial vehicle route planning method based on sparrow search algorithm
  • Unmanned aerial vehicle route planning method based on sparrow search algorithm
  • Unmanned aerial vehicle route planning method based on sparrow search algorithm

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Embodiment Construction

[0032] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0033] The embodiment of the present invention relates to a UAV track planning method based on the sparrow search algorithm. Before introducing the present invention in detail, first introduce the core algorithm for realizing the optimization of the UAV track in this embodiment, that is, the sparrow search algorithm ( Sparrow Search Algorithm, SSA), such as figure 1 As shown, the details are as follows:

[0034] Step 1: Defin...

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Abstract

The invention relates to an unmanned aerial vehicle route planning method based on a sparrow search algorithm, and the method comprises the steps: (1) carrying out the modeling of the route planning of an unmanned aerial vehicle, and obtaining a total cost function; step (2), optimizing the total cost function through a sparrow search algorithm; and step (3), obtaining an optimal path for unmanned aerial vehicle flight path planning. According to the invention, the optimal path of the flight path of the unmanned aerial vehicle can be found through a sparrow search algorithm.

Description

technical field [0001] The invention relates to the technical field of UAV track planning, in particular to a UAV track planning method based on a sparrow search algorithm. Background technique [0002] UAVs often need to perform complex tasks in the air and will be deployed in areas where manual operation is difficult for special operations, such as surveillance, airdrops, etc. When the UAV enters a complex environment, humans must make reasonable and effective planning of its flight trajectory before manipulating the UAV to perform specified tasks. Only after obtaining a reference trajectory can the UAV follow this It is very important to have a good trajectory planning when performing complex tasks. Three-dimensional path planning can be defined as an NP problem, and its main purpose is to optimize the path between the starting point and the target point. In this process, multiple constraints need to be dealt with, such as the UAV's own performance constraints, threat c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/20G06N3/00
CPCG01C21/20G06N3/006
Inventor 薛建凯沈波陈红委渠博岗洪佳乐马宇航
Owner DONGHUA UNIV
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