Composite Actuation and Adaptive Control for Hypersonic Reentry Vehicles: Mitigating Aerodynamic Ablation via Moving Mass-Aileron Integration
Aerodynamic ablation of external control surfaces and structural complexity in hypersonic reentry vehicles (HRVs) pose significant challenges for maneuverability and system reliability. To address these issues, this study develops a novel bank-to-turn (BTT) control strategy integrating a single internal moving mass with differential ailerons, eliminating reliance on ablation-prone elevators/rudders while enhancing internal space utilization. A coupled 7-DOF dynamics model explicitly quantifies inertial-rolling interactions induced by the moving mass, revealing critical stability boundaries for roll maneuvers. To ensure robustness against aerodynamic uncertainties, aileron failures, and high-frequency mass-induced disturbances, a dynamic inversion controller is augmented with an L1 adaptive layer decoupling estimation from control for improved disturbance rejection. Monte Carlo simulations demonstrate: (1) a 20.6% reduction in roll-tracking error (L2-norm) under combined uncertainties compared to dynamic inversion control, and (2) a 72% suppression of oscillations under aerodynamic variations. Comparative analyses confirm superior transient performance and robustness in worst-case scenarios. This work offers a practical solution for high-maneuverability hypersonic vehicles, with potential applications in reentry vehicle design and multi-actuator system optimization.
Authors
- Pengxin Wei (ORCID: https://orcid.org/0000-0002-3498-8606)
- Peng Cui (ORCID: https://orcid.org/0000-0002-1284-7183)
- Changsheng Gao (ORCID: https://orcid.org/0009-0008-8787-8014)
Institutions
- Harbin University of Science and Technology (CN)
- Harbin Institute of Technology (CN)
Publication Details
- Journal
- Aerospace
- Published
- 2025-08-28
- DOI
- https://doi.org/10.3390/aerospace12090773
- Citations
- 1
- Primary Topic
- Plasma and Flow Control in Aerodynamics
- Type
- article
- Field-Weighted Citation Impact
- 4.99
Funders
- National Natural Science Foundation of China