Optimizing evasive maneuvering of planes using a flight quality driven model

Chang Liu, Shaoshan Sun, Chenggang Tao, Yingxin Shou, Bin Xu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This paper investigates the optimal evasive maneuver for a plane to avoid an incoming missile. To accurately model the system dynamics while improving computational efficiency, a simplified plane model based on flight quality is established. A missile model with proportional guidance is also formulated. The problem of determining the optimal evasion plane maneuver is formulated. The Gauss pseudospectral method (GPM) is proposed as a solution to find the optimal maneuver. The optimized maneuver is validated by testing it on a high-fidelity 6-degree-of-freedom (6-DOF) model, which demonstrates the effectiveness of the proposed simplified plane model. The Monte Carlo method is employed to evaluate the capability of the plane to evade missiles in various scenarios and elucidate general principles for successful evasion.

Original languageEnglish
Article number132206
JournalScience China Information Sciences
Volume67
Issue number3
DOIs
StatePublished - Mar 2024

Keywords

  • air-to-air combat
  • evasive strategy
  • flying quality
  • optimal maneuver
  • pursuit-evasion game

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