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Acta Aeronautica et Astronautica Sinica ›› 2026, Vol. 47 ›› Issue (S1): 733013.doi: 10.7527/S1000-6893.2025.33013

• Swarm Intelligence and Cooperative Control • Previous Articles    

Spacecraft guardian strategy design via motion-intent recognition

Qinbo SUN1, Zhaohui DANG2()   

  1. 1.College of Mechanical and Electronic Engineering,Northwest A&F University,Yangling 712100,China
    2.School of Astronautics,Northwestern Polytechnical University,Xi’an 710129,China
  • Received:2025-10-31 Revised:2025-11-06 Accepted:2025-11-28 Online:2025-12-17 Published:2025-12-15
  • Contact: Zhaohui DANG E-mail:dangzhaohui@nwpu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(12472046)

Abstract:

To address the challenges of unknown target intent and strategy selection under incomplete-information orbital games, an intent-inference-based maneuver-decision framework is proposed. First, considering the impulsive characteristics of spacecraft, a model-predictive-control scheme is devised within a finite-time horizon to rapidly generate guardian strategies for a single prespecified intent. Subsequently, an integrated guardian maneuver optimization method is developed that fuses intent interference results of a non-cooperative target, making it applicable to multi-intent scenarios. By dynamically adjusting the strategy optimization objective according to the inferred intent distribution, the escort maneuver strategy becomes more flexible when responding to uncertain operational environments. Simulation results across diverse space-guardian missions confirm the superior performance of the proposed approach.

Key words: non-cooperative target, intent recogntion, deep learning, spacecraft guarding, orbital game

CLC Number: