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

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...

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 intelligent method is time-consuming when applied to multi-UAV collaborative task planning, and the search ability for the solution space is poor. Problems with unsatisfactory optimization results

Images