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Sliding Mode Active Disturbance Rejection Control for Hypersonic Vehicles Based on Reinforcement Learning
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Weiqiang TANG1, Jingtai MA1, Zidong WEI1, Haiyan GAO2
Missiles and Space Vehicles | 2026, (3) : 48 - 57
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Missiles and Space Vehicles | 2026, (3): 48-57
• Guidance, Navigation and Control •
Sliding Mode Active Disturbance Rejection Control for Hypersonic Vehicles Based on Reinforcement Learning
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Weiqiang TANG1, Jingtai MA1, Zidong WEI1, Haiyan GAO2
Affiliations
  • 1.Lanzhou University of Technology, Lanzhou, 730050
  • 2.Xiamen University of Technology, Xiamen, 361024
Published: 2026-06-25 doi: 10.7654/j.issn.2097-1974.20260307
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To address the uncertainty issues in hypersonic vehicles, an intelligent control method that synergistically integrates reinforcement learning with sliding mode active disturbance rejection control is proposed. First, the mathematical model of the hypersonic vehicle is decoupled into velocity and altitude subsystems. Second, an active disturbance rejection controller is designed for the velocity subsystem to ensure tracking performance, while a sliding mode active disturbance rejection controller is developed for the altitude subsystem to enhance robustness. Finally, a deterministic policy for optimizing the parameters of the extended state observer is learned through training and embedded into the control system online, achieving a collaborative optimization of model-driven and data-driven strategies. The results demonstrate that the proposed control system achieves satisfactory tracking of velocity and altitude. Compared with conventional sliding mode active disturbance rejection control systems, the proposed method exhibits stronger anti-interference capability and superior performance in response time and tracking accuracy. It is of more significance for improving the prediction accuracy of aircraft aerodynamic performance to predict the transition position of the boundary layer accurately.

hypersonic vehicles  /  reinforcement learning  /  sliding mode control  /  active disturbance rejection control  /  extended state observer
Weiqiang TANG, Jingtai MA, Zidong WEI, Haiyan GAO. Sliding Mode Active Disturbance Rejection Control for Hypersonic Vehicles Based on Reinforcement Learning[J]. Missiles and Space Vehicles, 2026 , (3) : 48 -57 . DOI: 10.7654/j.issn.2097-1974.20260307
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Article Info
doi: 10.7654/j.issn.2097-1974.20260307
  • Receive Date：2025-05-07
  • Online Date：2026-07-22
  • Published：2026-06-25
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  • Received：2025-05-07
  • Revised：2026-05-26
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Affiliations
    1.Lanzhou University of Technology, Lanzhou, 730050
    2.Xiamen University of Technology, Xiamen, 361024
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