Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (6): 1984-1993.doi: 10.12305/j.issn.1001-506X.2022.06.26

• Guidance, Navigation and Control • Previous Articles     Next Articles

UCAV escape maneuvering decision based on fuzzy expert system and IDE algorithm

Mulai TAN*, Dali DING, Lei XIE, Wei DING, Chenghui LYU   

  1. Aeronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
  • Received:2021-05-08 Online:2022-05-30 Published:2022-05-30
  • Contact: Mulai TAN

Abstract:

Aiming at the problems of insufficient adaptability and lack of tactical capabilities of unmanned combat air vehicle (UCAV) in short-range escape maneuvers in existing research, an escape maneuvering decision algorithm combining fuzzy expert system and external archiving differential evolution algorithm with dual strategy competition (DSC-JADE) is proposed. Through the learning of tactical knowledge, a fuzzy expert system is established, and the escape decision process is divided into discrete segments through the receding horizon. According to the decision of the fuzzy expert system, the maneuver is obtained. In the feasible region corresponding to its control quantity, an improved differential evolution (IDE) algorithm is used to search the optimal control quantity, and the escape maneuver decision is completed. Under the initial conditions of inferior (UCAV) for simulation and verification, the DSC-JADE algorithm has a stronger search ability than the differential evolution algorithm and other traditional group intelligence algorithms; the use of expert systems has better escape decision-making capabilities than the use of expert systems.

Key words: escape maneuvering decision, fuzzy expert system, improved differential evolution algorithm, receding horizon control

CLC Number: 

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