Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for solving UAV multitask reconnaissance decision-making problem through cuckoo search algorithm

A cuckoo search and multi-task technology, applied in computing, data processing applications, forecasting, etc., can solve the problem of not considering the income of UAV reconnaissance information, limited working time and load capacity, and difficult complete information reconnaissance missions in all mission areas, etc. question

Inactive Publication Date: 2016-01-06
NORTHWESTERN POLYTECHNICAL UNIV
View PDF5 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are existing methods that focus on mission route planning and reconnaissance search and rescue, but most of them do not consider the reconnaissance information gain when UAVs carry specific reconnaissance payloads, and because UAVs have limited mission working time and payload capabilities, it is usually difficult to The problem of completing the complete information reconnaissance mission of all mission areas shows that how to quickly and effectively complete the incomplete information traversal reconnaissance of all mission areas will be particularly important

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
  • Method for solving UAV multitask reconnaissance decision-making problem through cuckoo search algorithm
  • Method for solving UAV multitask reconnaissance decision-making problem through cuckoo search algorithm
  • Method for solving UAV multitask reconnaissance decision-making problem through cuckoo search algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention divides the entire mission process into two stages. First, the Discrete Cuckoo Search Algorithm (DCSA) is used to solve the optimal planning problem of the reconnaissance path, so that the path for traversing all the reconnaissance mission areas is the shortest, and then the corresponding reconnaissance information is established to determine According to the mission time constraints of the UAV and the minimum reconnaissance certainty constraints of each mission area, while ensuring that all mission areas of reconnaissance are traversed, the basic cuckoo search algorithm (CuckooSearch Algorithm, CSA) is used for each task area to be reconnaissance Allocate the optimal reconnaissance time, so as to maximize the information gain of the whole reconnaissance mission process. Specifically include the following steps:

[0044] Step 1: Input known data;

[0045] The number of reconnaissance mission areas, the location of each mission area, and the area o...

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 a method for solving a UAV multitask reconnaissance decision-making problem through a cuckoo search algorithm. First of all, a UAV shortest reconnaissance path planning optimization object is established; then a discrete cuckoo search algorithm is carried out, and values are set for initial parameters; an initial value fitness degree is calculated; whether a nest master bird has a monitoring function is determined; new bird's nests are generated and optimal ones are reserved; whether quite bad bird's nests are abandoned is determined; then a UAV reconnaissance information certainty index model and a UAV multitask reconnaissance gain model are established; values are set for the initial parameters based on the cuckoo search algorithm; the initial value fitness degree is calculated; new bird's nests are generated and optimal ones are reserved; whether quite bad bird's nests are abandoned is determined; and an optimal result is finally obtained. According to the invention, solution is carried out through the discrete cuckoo search algorithm and a basic cuckoo search algorithm, compared to a conventional algorithm, a solution result can overcome the disadvantages of too early convergence, slow operation speed and the like, and the result is obtained in real time.

Description

technical field [0001] The invention belongs to the field of UAV task planning, and specifically, is a decision-making method provided for solving the problem of how to allocate multiple tasks when the UAV scouts. Background technique [0002] UAV can replace manned aircraft to perform "dangerous, harsh and boring" tasks in the mission reconnaissance stage, and has been widely used in many fields such as battlefield reconnaissance, ground strike, urban anti-terrorism, earthquake rescue and maritime search and rescue. At present, the existing methods focus on the route planning and reconnaissance search and rescue of the mission, but most of them do not consider the reconnaissance information gain when the UAV carries a specific reconnaissance load, and because the UAV's mission working time and load working capacity are limited, it is usually difficult to To complete the complete information reconnaissance task of all mission areas, it can be seen that how to quickly and eff...

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): G06Q10/04
Inventor 张耀中张蕾胡波李寄玮
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products