Fuzzy Extended-State Adaptive Sliding Mode Flight Control of Compound Thrust Unmanned Helicopter

To achieve precise trajectory tracking for the Compound Thrust Unmanned Helicopter (CTUH) across all Flight Modes, an Extended State Adaptive Sliding Mode Control (FEASMC) method is proposed. CTUH exhibits strong nonlinear and coupled dynamics. The method integrates an extended state observer with a fuzzy nonlinear law to estimate disturbances and handle actuator faults. A weight adjustment strategy ensures stable mode switching. Simulations and flight tests confirm high tracking accuracy throughout the entire flight envelope.

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Publication Details

Journal
Unmanned Systems
Published
2026-01-14
DOI
https://doi.org/10.1142/s2301385027500622
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Fuzzy Extended-State Adaptive Sliding Mode Flight Control of Compound Thrust Unmanned Helicopter

Jinfa Xu, Xiangchen Mao, Xin'ao Wang, Bohai Deng
Unmanned Systems
Adaptive Control of Nonlinear Systems
article

Fuzzy Extended-State Adaptive Sliding Mode Flight Control of Compound Thrust Unmanned Helicopter

Jinfa Xu, Xiangchen Mao, Xin'ao Wang, Bohai Deng
article en

Abstract

To achieve precise trajectory tracking for the Compound Thrust Unmanned Helicopter (CTUH) across all Flight Modes, an Extended State Adaptive Sliding Mode Control (FEASMC) method is proposed. CTUH exhibits strong nonlinear and coupled dynamics. The method integrates an extended state observer with a fuzzy nonlinear law to estimate disturbances and handle actuator faults. A weight adjustment strategy ensures stable mode switching. Simulations and flight tests confirm high tracking accuracy throughout the entire flight envelope.

Unmanned Systems
Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 89%
Adaptive Control of Nonlinear Systems
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