Evidence map›Paper›PMID 42289497›Full record

ArticleScientific reports2026

Hybrid control structure employing fuzzy-sliding mode systems for the guidance of coaxial octorotor UAV.

Khaled Toudji, Lakhmissi Cherroun, Mohamed Nadour, Yousef A Alsabah, Abdelaziz Rabehi

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Khaled ToudjiApplied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Sciences and Technology, University of Djelfa, 17000, Djelfa, DZ, Algeria.
Lakhmissi CherrounApplied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Sciences and Technology, University of Djelfa, 17000, Djelfa, DZ, Algeria.
Mohamed NadourApplied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Sciences and Technology, University of Djelfa, 17000, Djelfa, DZ, Algeria.
Yousef A AlsabahDepartment of Physics, College of Education and Applied Science, Hajjah University, Hajjah, Yemen. yousef.alsabah@hau.edu.ye.
Abdelaziz RabehiTelecommunications and Smart Systems Laboratory, Faculty of Sciences and Technology, University of Djelfa, PO Box 3117, 17000, Djelfa, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, the design and simulation of a hybrid control structure using a fuzzy sliding mode controller (FSMC) and PID regulators for a six-DOF coaxial octorotor unmanned aerial vehicle (UAV) are presented. The dynamic model of the coaxial octorotor is derived using the Newton-Euler formalism and decomposed into four control subsystems: altitude, pitch, roll, and yaw. PID controllers are used in the translational x and y position loops to generate desired pitch and roll references, while the FSMC regulates the four main attitude and altitude subsystems. The proposed FSMC integrates fuzzy logic with the sliding mode framework to eliminate the chattering phenomenon while maintaining robustness against model uncertainties and external disturbances. To establish a rigorous proof of concept, this study is focused on a high-fidelity simulation environment. MATLAB/Simulink simulations under these controlled conditions demonstrate the superior accuracy, stability, and disturbance rejection capability of the FSMC compared to conventional methods in both nominal and perturbed flight scenarios. It is important to note that the present work serves as a foundational theoretical and numerical validation; practical implementation factors such as actuator saturation, sensor noise, and real-time computational constraints, while critical for final deployment, are reserved for subsequent experimental and hardware-in-the-loop studies.

Indexed as

ControlCoupled systemsFuzzy logicMIMOModellingOctorotorPIDSliding mode

Identifiers

PMID42289497
PMCPMC13542159

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.