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Fuzzy Logic Enhanced Second-Order Sliding Mode Controller Design for an Experimental Twin Rotor System Under External Disturbances

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Bibliographic Details
Title: Fuzzy Logic Enhanced Second-Order Sliding Mode Controller Design for an Experimental Twin Rotor System Under External Disturbances
Authors: Hasan Omur Ozer, Yuksel Hacioglu, Nurkan Yagiz
Contributors: İstanbul University Cerrahpaşa Institutional Repository
Source: Journal of Vibration Engineering & Technologies. 12:1103-1117
Publisher Information: Springer Science and Business Media LLC, 2024.
Publication Year: 2024
Subject Terms: Twin rotor model, 0209 industrial biotechnology, Fuzzy second order sliding mode control, Multi-objective genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, Experimental results, 02 engineering and technology
Description: Background The twin rotor model is frequently studied by researchers because although it has a basic structure the coupled pitch and yaw motions are adequately represented. However, it is quite difficult to obtain an efficient controller due to external disturbances. Classical sliding mode controller (SMC), which is of first order, is recognized to be robust in case of parameter changes and external disturbances especially when the sliding motion takes place, but it possesses chattering in the control input which may damage the mechanical parts of the system. Purpose In this study it was aimed to design a robust controller without chattering effect which will be used for the control of the twin rotor system in real time experiments. Methods To remedy the chattering issue, a novel fuzzy logic enhanced second-order sliding mode controller (FSOSMC) based on super twisting algorithm is proposed. This controller suppresses chattering while enhancing the robustness of the controller where the sliding surface slope parameter is updated online via a fuzzy logic unit. Then the proposed controller is implemented on an experimental twin-rotor system which has highly nonlinear and coupled dynamics. Results Real time experiments were performed on the twin rotor system using the proposed FSOSMC. For comparison purpose the SMC and second-order sliding mode controller (SOSMC) were also applied to the same system. The results have shown that the proposed controller increased the tracking performance without increasing the control effort while reducing the chattering. Conclusions The experimental results verified the success of the designed FSOSMC, therefore it may be recommended for the robust and precise control of aerial vehicles. Graphical Abstract
Document Type: Article
Other literature type
File Description: application/pdf
Language: English
ISSN: 2523-3939
2523-3920
DOI: 10.1007/s42417-024-01464-3
Access URL: https://hdl.handle.net/20.500.12831/23091
https://doi.org/10.1007/s42417-024-01464-3
https://aperta.ulakbim.gov.tr/record/279565
Rights: CC BY
Accession Number: edsair.doi.dedup.....42f9f15cea9330ef94c5835d50ed968c
Database: OpenAIRE
Description
Abstract:Background The twin rotor model is frequently studied by researchers because although it has a basic structure the coupled pitch and yaw motions are adequately represented. However, it is quite difficult to obtain an efficient controller due to external disturbances. Classical sliding mode controller (SMC), which is of first order, is recognized to be robust in case of parameter changes and external disturbances especially when the sliding motion takes place, but it possesses chattering in the control input which may damage the mechanical parts of the system. Purpose In this study it was aimed to design a robust controller without chattering effect which will be used for the control of the twin rotor system in real time experiments. Methods To remedy the chattering issue, a novel fuzzy logic enhanced second-order sliding mode controller (FSOSMC) based on super twisting algorithm is proposed. This controller suppresses chattering while enhancing the robustness of the controller where the sliding surface slope parameter is updated online via a fuzzy logic unit. Then the proposed controller is implemented on an experimental twin-rotor system which has highly nonlinear and coupled dynamics. Results Real time experiments were performed on the twin rotor system using the proposed FSOSMC. For comparison purpose the SMC and second-order sliding mode controller (SOSMC) were also applied to the same system. The results have shown that the proposed controller increased the tracking performance without increasing the control effort while reducing the chattering. Conclusions The experimental results verified the success of the designed FSOSMC, therefore it may be recommended for the robust and precise control of aerial vehicles. Graphical Abstract
ISSN:25233939
25233920
DOI:10.1007/s42417-024-01464-3