Robust trajectory maneuvering of VTOL aircraft using higher-order sliding mode control (HOSMC)

Vertical Takeoff and Landing (VTOL) aircraft present significant control challenges due to their nonlinear, strongly coupled dynamics and sensitivity to disturbances, particularly during hover-forward flight transitions. This study focuses on developing a Higher-Order Sliding Mode Control (HOSMC) strategy, based on the Super-Twisting algorithm, to enhance trajectory tracking accuracy and robustness for small-scale VTOL platforms. The proposed method was designed with tailored sliding variables and refined gain tuning, and its performance was validated through extensive simulations under realistic urban flight conditions, including Dryden-model turbulence, thrust perturbations, and multi-phase trajectories. Results show that HOSMC achieved superior tracking performance, with a maximum error of 0.038 m and an RMS error of 0.017 m, representing a 61% improvement in RMS error over SMC and a 50% reduction in maximum error compared to ASMC, while also delivering smoother control inputs, a thrust-to-weight ratio of 0.17, and energy consumption as low as 0.1866 kWh/h. These findings confirm that HOSMC not only suppresses chattering but also improves energy efficiency by up to 20% compared to PID, underscoring its potential as a robust and efficient control solution for autonomous VTOL operations in urban air mobility (UAM) applications.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-25
DOI
https://doi.org/10.1038/s41598-025-25903-7
Primary Topic
Aerospace and Aviation Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust trajectory maneuvering of VTOL aircraft using higher-order sliding mode control (HOSMC)

Bilal Erol, Idriss Dagal
Scientific Reports
Aerospace and Aviation Technology
article

Robust trajectory maneuvering of VTOL aircraft using higher-order sliding mode control (HOSMC)

Bilal Erol, Idriss Dagal
article en

Abstract

Vertical Takeoff and Landing (VTOL) aircraft present significant control challenges due to their nonlinear, strongly coupled dynamics and sensitivity to disturbances, particularly during hover-forward flight transitions. This study focuses on developing a Higher-Order Sliding Mode Control (HOSMC) strategy, based on the Super-Twisting algorithm, to enhance trajectory tracking accuracy and robustness for small-scale VTOL platforms. The proposed method was designed with tailored sliding variables and refined gain tuning, and its performance was validated through extensive simulations under realistic urban flight conditions, including Dryden-model turbulence, thrust perturbations, and multi-phase trajectories. Results show that HOSMC achieved superior tracking performance, with a maximum error of 0.038 m and an RMS error of 0.017 m, representing a 61% improvement in RMS error over SMC and a 50% reduction in maximum error compared to ASMC, while also delivering smoother control inputs, a thrust-to-weight ratio of 0.17, and energy consumption as low as 0.1866 kWh/h. These findings confirm that HOSMC not only suppresses chattering but also improves energy efficiency by up to 20% compared to PID, underscoring its potential as a robust and efficient control solution for autonomous VTOL operations in urban air mobility (UAM) applications.

Scientific ReportsVol. 15(1)
Yıldız Technical University (TR), Istanbul Commerce University (TR), Beykent University (TR)
Openalex Percentile: Top 53%
Aerospace and Aviation Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.