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Nondominated Maneuver Strategy Set With Tactical Requirements for a Fighter Against Missiles in a Dogfight
- Source :
- IEEE Access, Vol 8, Pp 117298-117312 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Dogfight is often a continuous and multi-round process with missile attacks. If the fighter only considers the security when evading the incoming missile, it will easily lose the superiority in subsequent air combat. Therefore, it is necessary to maintain as much tactical superiority as possible while ensuring a successful evasion. The amalgamative tactical requirements of achieving multiple evasive objectives in a dogfight are taken into account in this paper. A method of generating a nondominated maneuver strategy set for evading missiles with tactical requirements is proposed. The tactical requirements include higher miss distance, less energy consumption, and higher terminal superiority. Then the evasion problem is defined and reformulated into a multi-objective optimization problem, which is solved by a redesigned multi-objective evolutionary algorithm based on decomposition (MOEA/D). Simulations are used to demonstrate the feasibility and effectiveness of the approach. A set of approximate Pareto-optimal solutions satisfying the tactical requirements are obtained. These solutions can not only guide the fighter to avoid being hit but also achieve the goal of relatively reducing energy consumption and improving terminal superiority.
- Subjects :
- Mathematical optimization
Optimization problem
General Computer Science
Computer science
Evolutionary algorithm
Evasion (network security)
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
Missile
0202 electrical engineering, electronic engineering, information engineering
Decomposition (computer science)
General Materials Science
Dogfight
Set (psychology)
tactical requirements
General Engineering
Process (computing)
evasive maneuvers
Energy consumption
decision-making
021001 nanoscience & nanotechnology
multi-objective evolutionary algorithm
020201 artificial intelligence & image processing
lcsh:Electrical engineering. Electronics. Nuclear engineering
0210 nano-technology
lcsh:TK1-9971
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....1a6e3fee2d1e33c6d9c7b69390f5521a