Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method
A hydraulic generator regulating system with electrical, mechanical, and hydraulic constitution is a complex nonlinear system, which is analyzed in this research. In the present study, the dynamical behavior of this system is investigated. Afterward, the input/output feedback linearization theory is...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/1/168 |
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| author | Fawaz E. Alsaadi Amirreza Yasami Hajid Alsubaie Ahmed Alotaibi Hadi Jahanshahi |
| author_facet | Fawaz E. Alsaadi Amirreza Yasami Hajid Alsubaie Ahmed Alotaibi Hadi Jahanshahi |
| author_sort | Fawaz E. Alsaadi |
| collection | DOAJ |
| description | A hydraulic generator regulating system with electrical, mechanical, and hydraulic constitution is a complex nonlinear system, which is analyzed in this research. In the present study, the dynamical behavior of this system is investigated. Afterward, the input/output feedback linearization theory is exerted to derive the controllable model of the system. Then, the chaotic behavior of the system is controlled using a robust controller that uses a Chebyshev neural network as a disturbance observer in combination with a non-singular robust terminal sliding mode control method. Moreover, the convergence of the system response to the desired output in the presence of uncertainty and unexpected disturbances is demonstrated through the Lyapunov stability theorem. Finally, the effectiveness and appropriate performance of the proposed control scheme in terms of robustness against uncertainty and unexpected disturbances are demonstrated through numerical simulations. |
| first_indexed | 2024-03-09T09:45:18Z |
| format | Article |
| id | doaj.art-dfc9e633a08947d9bc4a7cdb13cd5d21 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T09:45:18Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-dfc9e633a08947d9bc4a7cdb13cd5d212023-12-02T00:38:58ZengMDPI AGMathematics2227-73902022-12-0111116810.3390/math11010168Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode MethodFawaz E. Alsaadi0Amirreza Yasami1Hajid Alsubaie2Ahmed Alotaibi3Hadi Jahanshahi4Communication Systems and Networks Research Group, Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, CanadaDepartment of Mechanical Engineering, College of Engineering, Taif University, Taif 21944, Saudi ArabiaDepartment of Mechanical Engineering, College of Engineering, Taif University, Taif 21944, Saudi ArabiaDepartment of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaA hydraulic generator regulating system with electrical, mechanical, and hydraulic constitution is a complex nonlinear system, which is analyzed in this research. In the present study, the dynamical behavior of this system is investigated. Afterward, the input/output feedback linearization theory is exerted to derive the controllable model of the system. Then, the chaotic behavior of the system is controlled using a robust controller that uses a Chebyshev neural network as a disturbance observer in combination with a non-singular robust terminal sliding mode control method. Moreover, the convergence of the system response to the desired output in the presence of uncertainty and unexpected disturbances is demonstrated through the Lyapunov stability theorem. Finally, the effectiveness and appropriate performance of the proposed control scheme in terms of robustness against uncertainty and unexpected disturbances are demonstrated through numerical simulations.https://www.mdpi.com/2227-7390/11/1/168hydraulic generator regulating systemChebyshev neural networkdisturbance observerrobust non-singular terminal sliding mode controlexternal disturbance |
| spellingShingle | Fawaz E. Alsaadi Amirreza Yasami Hajid Alsubaie Ahmed Alotaibi Hadi Jahanshahi Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method Mathematics hydraulic generator regulating system Chebyshev neural network disturbance observer robust non-singular terminal sliding mode control external disturbance |
| title | Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method |
| title_full | Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method |
| title_fullStr | Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method |
| title_full_unstemmed | Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method |
| title_short | Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method |
| title_sort | control of a hydraulic generator regulating system using chebyshev neural network based non singular fast terminal sliding mode method |
| topic | hydraulic generator regulating system Chebyshev neural network disturbance observer robust non-singular terminal sliding mode control external disturbance |
| url | https://www.mdpi.com/2227-7390/11/1/168 |
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