Adaptive Finite-Time Fuzzy Fractional Sliding Mode Control for Uncertain QUAV With Actuator Faults and Slung Load

This article is devoted to the finite-time (FT) tracking control for a quadrotor unmanned aerial vehicle with slung load subject to unknown interferences and actuator faults (AFs) via fuzzy sliding mode control (SMC) technology. In comparison to existing control designs requiring the boundary information of involved parameters and the priori knowledge of AFs, some adaptive laws are provided to estimate the uncertain upper bounds and unknown actuation effectiveness. Then, an adaptive fractional-order nonsingular terminal SMC algorithm is developed to actualize the reachability of the constructed sliding surface and further guarantee the FT convergence of the tracking error despite time-varying AFs. Furthermore, the antiswing controller design is also presented for allowing the position reference signals to be adjusted autonomously to tackle the oscillations of the load angles. Eventually, simulation experiments reveal the effectiveness and superiority of the proposed scheme regarding fault tolerance and tracking capabilities.

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Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2024-10-17
DOI
https://doi.org/10.1109/taes.2024.3483153
Citations
19
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
6.24
Controls
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article

Adaptive Finite-Time Fuzzy Fractional Sliding Mode Control for Uncertain QUAV With Actuator Faults and Slung Load

Fangzheng Li, Baoping Jiang, Zhen Liu
19 citations
IEEE Transactions on Aerospace and Electronic Systems
Advanced Control Systems Design
6.24
article

Adaptive Finite-Time Fuzzy Fractional Sliding Mode Control for Uncertain QUAV With Actuator Faults and Slung Load

Fangzheng Li, Baoping Jiang, Zhen Liu
article en
19 citations

Abstract

This article is devoted to the finite-time (FT) tracking control for a quadrotor unmanned aerial vehicle with slung load subject to unknown interferences and actuator faults (AFs) via fuzzy sliding mode control (SMC) technology. In comparison to existing control designs requiring the boundary information of involved parameters and the priori knowledge of AFs, some adaptive laws are provided to estimate the uncertain upper bounds and unknown actuation effectiveness. Then, an adaptive fractional-order nonsingular terminal SMC algorithm is developed to actualize the reachability of the constructed sliding surface and further guarantee the FT convergence of the tracking error despite time-varying AFs. Furthermore, the antiswing controller design is also presented for allowing the position reference signals to be adjusted autonomously to tackle the oscillations of the load angles. Eventually, simulation experiments reveal the effectiveness and superiority of the proposed scheme regarding fault tolerance and tracking capabilities.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(2)
Qingdao University (CN), Suzhou University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 3%
Advanced Control Systems Design
6.24
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