Moving horizon method-based multi-unmanned aerial vehicle cooperative attack task allocation method

Abstract

The invention relates to a moving horizon method-based multi-unmanned aerial vehicle cooperative attack task allocation method and belongs to the multi-unmanned aerial vehicle coordinated control technical field. The method includes the following steps that: the ability function of unmanned aerial vehicles is established, a calculation method of a multi-unmanned aerial vehicle cooperative attack position is provided through the jacobian matrix of the ability function; a unmanned aerial vehicle damage cost index function, a voyage cost index function and a multi-unmanned aerial vehicle cooperative task assignment model are established; and a moving horizon method is utilized to model a maneuver decision-making problem into an optimized control problem, and a whole maneuver target approach process is discretized temporally and spatially, optimal maneuver strategies can be solved piecewise, and an optimal decision-making method for a multi-unmanned aerial vehicle cooperative attack task can be provided. With the horizon method-based multi-unmanned aerial vehicle cooperative attack task allocation method of the invention adopted, a higher target gain value and damage efficiency can be obtained, and multi-unmanned aerial vehicle cooperative attack ability can be improved.

Description

Technical field: [0001] The invention belongs to the technical field of coordinated control of multiple drones, and relates to a method for allocating coordinated strike tasks of multiple drones based on a rolling time domain method. Background technique: [0002] Fighter planes play an important role in today's wars. It has become the most powerful and suitable weapon in large-scale wars worldwide. Studying the combat effectiveness of fighter planes will not only help to improve the performance of fighter planes and promote the development and progress of combat technology, but also It is of great significance to strengthen the development of national defense in our country. Although stand-alone combat has certain advantages, in today's increasingly complex battlefield, stand-alone combat is far from meeting the requirements of combat. Multi-machine cooperative operations can make up for the shortcomings of weak stand-alone combat capabilities. On the one hand, it has an i...

AI Technical Summary

Problems solved by technology

Although the research on multi-UAV cooperative task assignment has achieved some research results, in the existing literature, the established multi-UAV cooperative task assignment model does not consider the ability of multi-UAV coordinated strikes, nor does it consider the target It is necessary to obtain the

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