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April 22, 2026Symmetry0 citationsOpen Access

Model-Free Non-Singular Fast Terminal Sliding Mode Control Based on Agricultural Unmanned Aerial Vehicle Electrical Control System

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MHMingyuan HuLQLonghui QiCWChangning Wei

Key Points

  • The research aims to develop a model-free sliding mode control scheme to enhance the efficiency of PMSM in agricultural UAVs.
  • Proposed an improved non-singular fast terminal sliding mode control (MFINFTSMC-IADSTA-IFTSMO) scheme.
  • Implemented an adaptive super-twisting algorithm to reduce chattering.
  • Demonstrated control stability through Lyapunov theory and conducted DSP-based experiments.
  • Achieved a start-up convergence time of 0.35 seconds, 56.25% faster than traditional methods.
  • Outperformed existing sliding mode control variants in dynamic response and steady-state accuracy.
  • Reduced chattering and improved disturbance rejection significantly.

Abstract

Permanent magnet synchronous motors (PMSMs) are widely used in agricultural unmanned aerial vehicle (UAV) electromechanical systems for their high efficiency and power density. While sliding mode control (SMC) offers robustness for PMSM drives, conventional designs face challenges like slow convergence, singularity, and chattering. This paper proposes a model-free improved non-singular fast terminal SMC scheme with an improved adaptive super-twisting algorithm and a disturbance observer (MFINFTSMC-IADSTA-IFTSMO) for agricultural UAV applications. The designed sliding surface ensures fixed-time convergence without singularity, the adaptive reaching law reduces chattering, and the observer enables feedforward compensation of disturbances. Closed-loop stability is proven via Lyapunov theory. DSP-based experiments demonstrate that the proposed method outperforms existing SMC variants in dynamic response, steady-state accuracy, chattering suppression, and disturbance rejection. Specifically, the proposed method achieves a start-up convergence time of only 0.35 s, which is 56.25% shorter than that of the classic SMC-STA method, fully verifying its superior fast convergence performance.

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Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/69e866ad6e0dea528ddeb0b0https://doi.org/10.3390/sym18040678
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