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Failure Detection and Recovery for Quadrotors in the Presence of Severe Rotor Failures With Multiple Model L1 Adaptive Controller

  • Chengyu Yang
  • , Jiahao Yu
  • , Sheng Cheng
  • , Ziyin Han
  • , Junjie Gao
  • , Bihao Mo
  • , Naira Hovakimyan

Research output: Contribution to journal › Article › peer-review

Abstract

Over the last few decades, quadrotors proved to be a viable platform for improving efficiency and achieving cost savings in a variety of industries, and yet the safety of flight remains a major challenge to be guaranteed, especially in the presence of rotor failures. In this letter, we revisit the L1 Quad architecture and test its robustness for severe/complete rotor failure. To achieve fast stabilization we develop multiple model L1 adaptive controller, where different models are suited for different failures, accompanied with a failure detection scheme to quickly evaluate the failure mode and guide the selection of the suitable controller. The method has been validated in experiments, demonstrating fast detection within 0.045 seconds after the failure occurs. The detection robustness under disturbances and uncertainties is also demonstrated with 100% success rate when the quadrotor flies different trajectories in wind or with an added weight. (https://youtu.be/PWtEbS94078video: https://youtu.be/PWtEbS94078).

Original languageEnglish (US)
Pages (from-to)346-353
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume11
Issue number1
DOIs
StatePublished - 2026

Keywords

  • Aerial systems: mechanics and control
  • failure detection and recovery
  • robust/adaptive control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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