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Robust Quadrotor Altitude Tracking Using Sliding-Mode Variants under Wind and Thrust Uncertainties

Research output: Contribution to journalConference articlepeer-review

Abstract

Wind gusts, thrust-efficiency variations, actuator limits, and modeling uncertainties challenge precise altitude control for a quadrotor near hover. We derive the standard small-angle approximation to a control-ready single-input singleoutput altitude channel with matched uncertainty from the 6DOF model. On this common plant, we implement and compare three sliding-mode variants: classic sliding-mode control (SMC), adaptive SMC (ASMC), and the super-twisting algorithm (STA). Five realistic scenarios are evaluated under identical reference and thrust saturation conditions. Lyapunov analyses on Filippov solutions establish finite-time reaching for SMC and supertwisting and boundedness with convergence to the sliding manifold for adaptive SMC, within the specified disturbance bounds. Simulations quantify performance smoothness trade-offs using IAE, control energy, a chattering proxy, and saturation statistics. In all scenarios, super-twisting reduces IAE by 46 54% compared to SMC and 21 35% compared to adaptive SMC, while lowering chattering by ≈ 98% or higher and keeping saturation below 8%. Meanwhile, adaptive SMC improves transient response compared to SMC, but at the cost of increased switching during reaching.

Original languageEnglish
Pages (from-to)650-656
Number of pages7
JournalInternational Multi-Conference on Systems, Signals, and Devices, SSD
Issue number2026
DOIs
StatePublished - 2026
Event23rd International Multi-Conference on Systems, Signals and Devices, SSD 2026 - Catania, Italy
Duration: 31 Mar 20261 Apr 2026

Bibliographical note

Publisher Copyright:
© 2026 IEEE.

Keywords

  • Quadrotor
  • actuator saturation
  • adaptive sliding mode
  • altitude control
  • sliding mode control
  • super-twisting algorithm
  • thrust-effectiveness loss
  • wind disturbance

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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