Sliding Mode Controller navigation algorithm using tag-based fiducial marker detection and fuzzy logic system

Autonomous navigation of vehicles, especially drones, plays an essential role in Industrial Revolution 4.0. Maneuvering drone in complex path especially indoor environment requires stable and accurate navigation system. This paper investigates a navigation algorithm for maneuvering a drone by Slidin...

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Main Authors: Mohammad Soleimani Amiri, Rizauddin Ramli, Ahmad Barari
Format: Article
Language:English
Published: Polish Academy of Sciences 2025-03-01
Series:Archives of Control Sciences
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Online Access:https://journals.pan.pl/Content/134364/PDF/art01.pdf
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author Mohammad Soleimani Amiri
Rizauddin Ramli
Ahmad Barari
author_facet Mohammad Soleimani Amiri
Rizauddin Ramli
Ahmad Barari
author_sort Mohammad Soleimani Amiri
collection DOAJ
description Autonomous navigation of vehicles, especially drones, plays an essential role in Industrial Revolution 4.0. Maneuvering drone in complex path especially indoor environment requires stable and accurate navigation system. This paper investigates a navigation algorithm for maneuvering a drone by Sliding Mode Controller (SMC) combined by fuzzy logic system, model reference approach, and tag-based fiducial marker detection in an indoor environment. The SMC parameters are tuned by the fuzzy logic system and model reference approach. A drone model is simulated in a virtual indoor environment to validate the performance of the navigation system with different home points and trajectories. The desired set-points of the control system are obtained by AprilTag, which is a tag-based fiducial marker detection system. The stability of the SMC was verified using the Lyapunov stability theory. The performance of proposed SMC navigation algorithm validated by comparing to conventional controllers which represents the effectiveness of SMC. It can be ascertained that the proposed SMC navigation algorithm is applicable to maneuver the drone for various industrial tasks in indoor environment.
format Article
id doaj-art-65b1345685cd4c4484c2bd652d6810c0
institution DOAJ
issn 1230-2384
language English
publishDate 2025-03-01
publisher Polish Academy of Sciences
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series Archives of Control Sciences
spelling doaj-art-65b1345685cd4c4484c2bd652d6810c02025-08-20T02:56:33ZengPolish Academy of SciencesArchives of Control Sciences1230-23842025-03-01Vol. 35No 1117https://doi.org/10.24425/acs.2025.153956Sliding Mode Controller navigation algorithm using tag-based fiducial marker detection and fuzzy logic systemMohammad Soleimani Amiri0https://orcid.org/0000-0001-6364-6392Rizauddin Ramli1https://orcid.org/0000-0002-5907-3736Ahmad Barari2https://orcid.org/0000-0003-4273-4371Department of Manufacturing Engineering Technology, Faculty of Industrial and Manufacturing Technology and Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, MalaysiaFaculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaDepartment of Mechanical and Manufacturing Engineering, University of OntarioInstitute of Technology, Oshawa, Ontario, L1H7K4, CanadaAutonomous navigation of vehicles, especially drones, plays an essential role in Industrial Revolution 4.0. Maneuvering drone in complex path especially indoor environment requires stable and accurate navigation system. This paper investigates a navigation algorithm for maneuvering a drone by Sliding Mode Controller (SMC) combined by fuzzy logic system, model reference approach, and tag-based fiducial marker detection in an indoor environment. The SMC parameters are tuned by the fuzzy logic system and model reference approach. A drone model is simulated in a virtual indoor environment to validate the performance of the navigation system with different home points and trajectories. The desired set-points of the control system are obtained by AprilTag, which is a tag-based fiducial marker detection system. The stability of the SMC was verified using the Lyapunov stability theory. The performance of proposed SMC navigation algorithm validated by comparing to conventional controllers which represents the effectiveness of SMC. It can be ascertained that the proposed SMC navigation algorithm is applicable to maneuver the drone for various industrial tasks in indoor environment.https://journals.pan.pl/Content/134364/PDF/art01.pdffuzzy logic, sliding mode controller, autonomous navigation, fiducial marker detection
spellingShingle Mohammad Soleimani Amiri
Rizauddin Ramli
Ahmad Barari
Sliding Mode Controller navigation algorithm using tag-based fiducial marker detection and fuzzy logic system
Archives of Control Sciences
fuzzy logic, sliding mode controller, autonomous navigation, fiducial marker detection
title Sliding Mode Controller navigation algorithm using tag-based fiducial marker detection and fuzzy logic system
title_full Sliding Mode Controller navigation algorithm using tag-based fiducial marker detection and fuzzy logic system
title_fullStr Sliding Mode Controller navigation algorithm using tag-based fiducial marker detection and fuzzy logic system
title_full_unstemmed Sliding Mode Controller navigation algorithm using tag-based fiducial marker detection and fuzzy logic system
title_short Sliding Mode Controller navigation algorithm using tag-based fiducial marker detection and fuzzy logic system
title_sort sliding mode controller navigation algorithm using tag based fiducial marker detection and fuzzy logic system
topic fuzzy logic, sliding mode controller, autonomous navigation, fiducial marker detection
url https://journals.pan.pl/Content/134364/PDF/art01.pdf
work_keys_str_mv AT mohammadsoleimaniamiri slidingmodecontrollernavigationalgorithmusingtagbasedfiducialmarkerdetectionandfuzzylogicsystem
AT rizauddinramli slidingmodecontrollernavigationalgorithmusingtagbasedfiducialmarkerdetectionandfuzzylogicsystem
AT ahmadbarari slidingmodecontrollernavigationalgorithmusingtagbasedfiducialmarkerdetectionandfuzzylogicsystem