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Evasive Maneuver Strategy for UCAV in Beyond-Visual-Range Air Combat Based on Hierarchical Multi-Objective Evolutionary Algorithm
- Source :
- IEEE Access, Vol 8, Pp 46605-46623 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- This study deals with the autonomous evasive maneuver strategy of unmanned combat air vehicle (UCAV), which is threatened by a high-performance beyond-visual-range (BVR) air-to-air missile (AAM). Considering tactical demands of achieving self-conflicting evasive objectives in actual air combat, including higher miss distance, less energy consumption and longer guidance support time, the evasive maneuver problem in BVR air combat is defined and reformulated into a multi-objective optimization problem. Effective maneuvers of UCAV used in different evasion phases are modeled in three-dimensional space. Then the three-level decision space structure is established according to qualitative evasive tactical planning. A hierarchical multi-objective evolutionary algorithm (HMOEA) is designed to find the approximate Pareto-optimal solutions of the problem. The approach combines qualitative tactical experience and quantitative maneuver decision optimization method effectively. Simulations are used to demonstrate the feasibility and effectiveness of the approach. The results show that the obtained set of decision variables constitutes nondominated solutions, which can meet different evasive tactical requirements of UCAV while ensuring successful evasion.
- Subjects :
- 0209 industrial biotechnology
Optimization problem
General Computer Science
Operations research
Computer science
BVR air combat
Evolutionary algorithm
Evasion (network security)
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
020901 industrial engineering & automation
Missile
0203 mechanical engineering
General Materials Science
Beyond-visual-range missile
Set (psychology)
evasive maneuver
hierarchical evolutionary algorithm
020301 aerospace & aeronautics
General Engineering
Air combat
Energy consumption
multi-objective optimization
UCAV
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:TK1-9971
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....df288f2d2852e3730ba7047c3ecea71f