Self-explosion type unmanned aerial vehicle cluster combat troops distribution method based on combat deduction

A distribution method and unmanned aerial vehicle technology, applied in the field of combat deduction, can solve the problems of less research on effectiveness evaluation models, unfavorable real battlefield simulation and analysis, and no consideration of coordinated operations, etc., to achieve the effect of improving adaptability

Active Publication Date: 2019-08-02
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are relatively few combat deduction methods for the strike capability of combat aircraft. The main methods used in the current academic circle include analytic hierarchy process, system engineering theory, search theory and probability analysis method, etc. , especially the research on the effectiveness evaluation model of UAV air-to-ground combat is less. The situation of a single UAV is considered, and the situation of coordinated operations is not considered, which is not conducive to the simulation and analysis of the real battlefield

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
  • Self-explosion type unmanned aerial vehicle cluster combat troops distribution method based on combat deduction
  • Self-explosion type unmanned aerial vehicle cluster combat troops distribution method based on combat deduction
  • Self-explosion type unmanned aerial vehicle cluster combat troops distribution method based on combat deduction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and examples of implementation. The specific implementation steps are as follows:

[0020] Step 1: Determine the number and combat capabilities of the enemy's combat units, and determine the intended combat objectives.

[0021] The steps to determine the number of enemy combat units, combat capabilities and strike targets are as follows:

[0022] Step 1-1: According to intelligence, determine the type of enemy combat unit as n, and the enemy's combat force as: Y all ={y 1 ,...,y j ,...,y n}, where j=1, 2, ..., n, y j is the number of combat units of the jth type.

[0023] Step 1-2: Determine the enemy's radar detection capability through the radar reflection cross-sectional area RCS of our drone

[0024]

[0025] Step 1-3: Through the maximum projection length L of our drone, the image resolution Y of the enemy's reconnaissance equipme...

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 discloses a self-explosion type unmanned aerial vehicle cluster combat troops distribution method based on combat deduction. The method comprises the following steps: firstly, determining the type and number of enemy combat units, the type and the maximum usable amount of our self-destruction unmanned aerial vehicle, and determining the virtual time step length when an equation is solved according to the total number of combat units; calculating corresponding operational capability indexes according to different operational unit attack capabilities of the two parties to obtain animproved lanthoster equation needing to be solved; and finally, establishing an optimization model, under the condition that the improved lanchester equation constraint and other combat unit number constraints are met, using a particle swarm algorithm for carrying out optimization solving, obtaining the optimal troops distribution method of the party under the condition that a preset combat target and other constraints are completed, and providing a basis for actual combat decision making.

Description

technical field [0001] The present invention relates to the field of combat deduction, in particular to a method for distributing combat troops of a self-destructing unmanned aerial vehicle group based on combat deduction. Background technique [0002] Self-explosive UAV cluster combat troop distribution optimization refers to the troop distribution optimization that a large number of small multi-rotor drones or small fixed-wing aircraft carrying a small amount of explosives form a cluster and rely on direct impact to blow up the enemy to complete a specific ground combat mission. Specifically, It is to determine whether the result of the UAV swarm destroying the ground unit of the other side can achieve the predetermined goal and the minimum cost of the UAV swarm number required to achieve the predetermined goal. The self-explosive UAV group combat is a new type of combat method that has emerged with the rapid development of small multi-rotor UAVs. The combat prediction and...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00G06Q10/04G06Q10/06
CPCG06N3/006G06Q10/06311G06Q10/04G06F30/20Y02T10/40
Inventor 范兼睿雷磊蔡圣所沈高青李志林郑呈晔王顺章姜阳
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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