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 language | English |
|---|---|
| Pages (from-to) | 650-656 |
| Number of pages | 7 |
| Journal | International Multi-Conference on Systems, Signals, and Devices, SSD |
| Issue number | 2026 |
| DOIs | |
| State | Published - 2026 |
| Event | 23rd International Multi-Conference on Systems, Signals and Devices, SSD 2026 - Catania, Italy Duration: 31 Mar 2026 → 1 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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