Haptic-Guided Multi-Strategy for Orbit Decision-making of Satellite Flight

In non-cooperative satellite pursuit-evasion missions, maneuver decision-making involves complex tactical trade-offs and imposes a substantial cognitive burden on human operators. Although game-tree-based autonomous planners provide strong computational capability, they are less effective at incorporating time-varying human intent. Meanwhile, purely manual teleoperation is constrained by the high complexity of orbital dynamics and heavy operator cognitive load. To address these challenges, this paper proposes a human-in-the-loop maneuver decision framework that combines game-tree-based multi-strategy generation with haptic virtual-fixture guidance. A game-tree planner first produces a small set of candidate pursuit orbits with distinct tactical preferences, thereby separating continuous trajectory optimization from high-level strategy selection. These candidate orbits are then mapped to haptic guide rails, allowing the operator to explore and compare them through touch. A smooth hybrid force model with distance-based weighting and multi-rail fusion provides stable attraction and continuous guidance during rail engagement and switching. Simulation results show that the proposed method maintains smooth haptic transitions across candidate strategies and enables intuitive visual-haptic coupling during interactive exploration. The framework therefore supports operator situational awareness and facilitates strategy exploration and selection in dynamic engagement scenarios.