Integral Sliding Mode Control Enhanced by an Adaptive Double-Power Reaching Law for UAV Systems

This study proposes a robust flight control framework for quadrotor unmanned aerial vehicle (UAV) trajectory tracking based on Integral Sliding Mode Control (ISMC) enhanced by an Adaptive Double-Power Reaching Law (ADPRL). The proposed controller is designed to improve robustness against lumped uncertainties, external disturbances, and nonlinear UAV dynamics while reducing chattering commonly associated with conventional Sliding Mode Control (SMC). To prevent unnecessary gain escalation near the sliding manifold, a practically bounded adaptive reaching mechanism incorporating sigma-modification, dead-zone regulation, and saturation-based switching regularization is introduced. The controller is formulated within a dual-loop position–attitude control architecture, and its stability properties are examined using a Lyapunov-based approach. Comparative MATLAB simulations are conducted against representative baseline controllers, including SMC, ISMC, STSMC, and ADRC. The results show that the proposed ISMC-ADPRL controller achieves the lowest thrust RMS value of 9.5297 N while maintaining competitive trajectory-tracking performance, indicating a practical balance between tracking accuracy, control-effort reduction, and smoother actuation.

Authors

Publication Details

Journal
Unmanned Systems
Published
2026-11-04
DOI
https://doi.org/10.1142/s2301385027410202
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integral Sliding Mode Control Enhanced by an Adaptive Double-Power Reaching Law for UAV Systems

Nattapon Jaisumroum, Prempreeya Montienthong, Siwaroj Bumpenthan
Unmanned Systems
Adaptive Control of Nonlinear Systems
article

Integral Sliding Mode Control Enhanced by an Adaptive Double-Power Reaching Law for UAV Systems

Nattapon Jaisumroum, Prempreeya Montienthong, Siwaroj Bumpenthan
article en

Abstract

This study proposes a robust flight control framework for quadrotor unmanned aerial vehicle (UAV) trajectory tracking based on Integral Sliding Mode Control (ISMC) enhanced by an Adaptive Double-Power Reaching Law (ADPRL). The proposed controller is designed to improve robustness against lumped uncertainties, external disturbances, and nonlinear UAV dynamics while reducing chattering commonly associated with conventional Sliding Mode Control (SMC). To prevent unnecessary gain escalation near the sliding manifold, a practically bounded adaptive reaching mechanism incorporating sigma-modification, dead-zone regulation, and saturation-based switching regularization is introduced. The controller is formulated within a dual-loop position–attitude control architecture, and its stability properties are examined using a Lyapunov-based approach. Comparative MATLAB simulations are conducted against representative baseline controllers, including SMC, ISMC, STSMC, and ADRC. The results show that the proposed ISMC-ADPRL controller achieves the lowest thrust RMS value of 9.5297 N while maintaining competitive trajectory-tracking performance, indicating a practical balance between tracking accuracy, control-effort reduction, and smoother actuation.

Unmanned Systems
Openalex Percentile: Top 19%
Adaptive Control of Nonlinear Systems
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.

Laika access coming soon