Bidirectional Thrust Control for Quadrotor Safety

Quadrotors performing aerial tasks are vulnerable to sudden external disturbances, which may lead to instability, control loss, or even structural damage such as broken arms or frame failure. These threats are particularly critical during flight, where recovery opportunities are limited. To address this, we propose a bidirectional thrust control framework that improves mid-air impact resilience. A lightweight recurrent neural network (RNN)-attention module detects and evaluates external forces in real time. When the disturbance is mild, a model predictive control (MPC) + active disturbance rejection control (ADRC) controller ensures stability; when it nears a critical level, the system switches to a flipping recovery policy that exploits bidirectional thrust to regain balance. Experiments validate robustness and safety under sudden external disturbances.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2026-01-12
DOI
https://doi.org/10.1109/lra.2026.3653327
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
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article

Bidirectional Thrust Control for Quadrotor Safety

Mingyang Lyu, Yibo Zhao, Hailong Huang, Chengao Li
IEEE Robotics and Automation Letters
Adaptive Control of Nonlinear Systems
article

Bidirectional Thrust Control for Quadrotor Safety

Mingyang Lyu, Yibo Zhao, Hailong Huang, Chengao Li
article en

Abstract

Quadrotors performing aerial tasks are vulnerable to sudden external disturbances, which may lead to instability, control loss, or even structural damage such as broken arms or frame failure. These threats are particularly critical during flight, where recovery opportunities are limited. To address this, we propose a bidirectional thrust control framework that improves mid-air impact resilience. A lightweight recurrent neural network (RNN)-attention module detects and evaluates external forces in real time. When the disturbance is mild, a model predictive control (MPC) + active disturbance rejection control (ADRC) controller ensures stability; when it nears a critical level, the system switches to a flipping recovery policy that exploits bidirectional thrust to regain balance. Experiments validate robustness and safety under sudden external disturbances.

IEEE Robotics and Automation LettersVol. 11(3)
Hong Kong Polytechnic University (HK), Civil Aviation University of China (CN)
Openalex Percentile: Top 90%
Adaptive Control of Nonlinear Systems
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