Unmanned aerial vehicle cluster cooperative task planning method for air maneuvering combat

A mission planning and unmanned aerial vehicle technology, applied in non-electric variable control, position/direction control, instruments, etc., can solve problems such as poor solution space search ability, unsatisfactory optimization results, and long time consumption

Active Publication Date: 2020-12-25
KUNMING UNIV OF SCI & TECH
View PDF5 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention fully considers the demand characteristics of multi-base, multi-target, and multi-UAVs, and the constraints of UAVs, and solves the problem that the existing intel

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Unmanned aerial vehicle cluster cooperative task planning method for air maneuvering combat
  • Unmanned aerial vehicle cluster cooperative task planning method for air maneuvering combat
  • Unmanned aerial vehicle cluster cooperative task planning method for air maneuvering combat

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] This embodiment discloses a coordinated task planning method for UAV clusters oriented to air maneuvering operations. The specific implementation steps are as follows:

[0074] Step 1. The establishment of a mathematical model for UAV collaborative mission planning.

[0075] The mathematical model of UAV cooperative mission planning established according to the maximum range distance constraint, maximum turning angle, maximum climb and dive angle, minimum and maximum flight altitude, minimum safe distance between UAVs and mission planning purpose of each UAV is as follows: Shown in (29)-(35):

[0076] The objective function of UAV collaborative mission planning:

[0077] min(f 1 , f 2 , f 3 ) (29)

[0078]

[0079] UAV maximum turning angle constraint:

[0080]

[0081] UAV maximum climb and dive angle constraints:

[0082]

[0083] Drone minimum / maximum flight height constraints:

[0084]

[0085] Collision avoidance constraints between UAVs:

[00...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an unmanned aerial vehicle cluster cooperative task planning method for air maneuvering combat, and belongs to the technical field of unmanned aerial vehicle task planning. Themethod comprises the following steps of: firstly, establishing a task planning model taking the minimum flight range, the minimum fixed cost, the maximum target income and the minimum threat cost of an unmanned aerial vehicle for executing a task as target functions; and then mapping the task planning optimization process into the life cycle growth and development process by referring to the biological life cycle characteristics, and forming a track point set by one point on each segmentation plane by adopting a space plane segmentation method. The method is suitable for an unmanned anti-radiation attacker to execute attack tasks in a complex task environment under a three-dimensional map, and can also be used for multi-unmanned-aerial-vehicle cooperative task planning of reconnaissance and reconnaissance tasks. The technical problems to be solved by the invention are as follows: simulating a real task scene, adding all dynamic constraints of the unmanned aerial vehicle, and obtainingmulti-unmanned-aerial-vehicle cooperative task distribution and track planning meeting complex constraints in a three-dimensional environment.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicle mission planning, and more specifically relates to a coordinated mission planning method for unmanned aerial vehicle clusters oriented to control maneuver operations. Background technique [0002] Unmanned aerial vehicles (UAVs) are representative equipment of the new military revolution, and unmanned operations are profoundly changing the face of warfare. With the continuous development of UAV technology and performance and the continuous improvement of mission requirements, a single UAV can no longer meet the mission requirements in many cases. If multiple UAVs can work together, the mission scope can be expanded and the System combat effectiveness. [0003] Unmanned aerial vehicles must perform mission planning in advance. Due to unmanned, UAVs have stricter requirements for mission planning. UAV collaborative mission planning is one of the key technologies to realize UAV coop...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G05D1/10G05D1/00G05B13/04
CPCG05D1/104G05D1/106G05D1/1064G05D1/0055G05B13/042
Inventor 潘楠刘海石陈启用殷实钱俊兵
Owner KUNMING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap