Saturation-Aware Robust Trajectory Optimization for Reusable Launch Vehicles via Differentiable Physics
The high-angle-of-attack flip maneuver of reusable launch vehicles presents significant challenges for robust trajectory optimization due to the combined effects of highly nonlinear dynamics, aerodynamic uncertainties, and actuator saturation. This paper presents a differentiable physics framework for saturation-aware robust trajectory optimization. At its core, a Differentiable Particle Tube Control (DPTC) scheme is developed to optimize uncertainty evolution through an ensemble-based distribution shaping strategy. State uncertainty is represented by a Lagrangian particle ensemble, while hard actuator projection operators are embedded directly into the computational graph, enabling the j...
| Authors | Liwei Chen, Tong Qin |
|---|---|
| Primary category | cs.RO |
| Published | 2 July 2026 |
| Last updated at source | 2 July 2026 |
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