Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter
Abstract A type‐2 fuzzy logic‐based adaptive backstepping control (T2F‐ABSC) approach is presented for a DC/DC Buck converter. Lyapunov‐based backstepping control (BSC), which can guarantee convergence along with asymptotic stability of the system. Also, the black‐box technique is applied for the pr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-06-01
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| Series: | IET Control Theory & Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cth2.12445 |
| _version_ | 1797814159756230656 |
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| author | Fatemeh Khavari Seyyed Morteza Ghamari Mohammd Abdollahzadeh Hasan Mollaee |
| author_facet | Fatemeh Khavari Seyyed Morteza Ghamari Mohammd Abdollahzadeh Hasan Mollaee |
| author_sort | Fatemeh Khavari |
| collection | DOAJ |
| description | Abstract A type‐2 fuzzy logic‐based adaptive backstepping control (T2F‐ABSC) approach is presented for a DC/DC Buck converter. Lyapunov‐based backstepping control (BSC), which can guarantee convergence along with asymptotic stability of the system. Also, the black‐box technique is applied for the proposed system, which does not require an accurate mathematical model resulting in a lower computational burden, easy implementation, and lower dependency on the states of the model. On the other hand, for wider ranges of disturbances, including parametric variations, load uncertainty, supply voltage variation, and noise, this approach shows an unsuitable practical application based on its fixed gain values; therefore, the control parameters need to be optimized again to provide ideal operations. Type‐2 fuzzy structure is adopted here to optimize the gains of the ABSM in challenging conditions. Type‐2 fuzzy (T2F) has higher efficiency and faster dynamics with more adaptability to the system. To enhance the performance of the T2F, antlion optimization (ALO) has been used in this structure. ALO is a modern nature‐inspired algorithm, and it has some advantages over other optimizing algorithms. Furthermore, it has ability to find optimal answers in a shorter time, more accurately in contrast to the other optimization algorithms and is used to tune the membership function parameters of the (T2F) under the diverse search spaces. To depict the strength of the designed work, fuzzy‐PID and backstepping schemes proposed to carry out an analysis with this work. |
| first_indexed | 2024-03-13T08:02:26Z |
| format | Article |
| id | doaj.art-a701eaea1d0f4df286dbc58180a095dd |
| institution | Directory Open Access Journal |
| issn | 1751-8644 1751-8652 |
| language | English |
| last_indexed | 2024-03-13T08:02:26Z |
| publishDate | 2023-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Control Theory & Applications |
| spelling | doaj.art-a701eaea1d0f4df286dbc58180a095dd2023-06-01T10:41:58ZengWileyIET Control Theory & Applications1751-86441751-86522023-06-011791132114310.1049/cth2.12445Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converterFatemeh Khavari0Seyyed Morteza Ghamari1Mohammd Abdollahzadeh2Hasan Mollaee3Department of Electrical and Control Engineering Shahrood University of Technology Shahrood IranDepartment of Electrical and Control Engineering Shahrood University of Technology Shahrood IranDepartment of Control Engineering Shahid Beheshti University Tehran IranDepartment of Electrical and Control Engineering Shahrood University of Technology Shahrood IranAbstract A type‐2 fuzzy logic‐based adaptive backstepping control (T2F‐ABSC) approach is presented for a DC/DC Buck converter. Lyapunov‐based backstepping control (BSC), which can guarantee convergence along with asymptotic stability of the system. Also, the black‐box technique is applied for the proposed system, which does not require an accurate mathematical model resulting in a lower computational burden, easy implementation, and lower dependency on the states of the model. On the other hand, for wider ranges of disturbances, including parametric variations, load uncertainty, supply voltage variation, and noise, this approach shows an unsuitable practical application based on its fixed gain values; therefore, the control parameters need to be optimized again to provide ideal operations. Type‐2 fuzzy structure is adopted here to optimize the gains of the ABSM in challenging conditions. Type‐2 fuzzy (T2F) has higher efficiency and faster dynamics with more adaptability to the system. To enhance the performance of the T2F, antlion optimization (ALO) has been used in this structure. ALO is a modern nature‐inspired algorithm, and it has some advantages over other optimizing algorithms. Furthermore, it has ability to find optimal answers in a shorter time, more accurately in contrast to the other optimization algorithms and is used to tune the membership function parameters of the (T2F) under the diverse search spaces. To depict the strength of the designed work, fuzzy‐PID and backstepping schemes proposed to carry out an analysis with this work.https://doi.org/10.1049/cth2.12445controllerDC–DC power convertorsfuzzy control |
| spellingShingle | Fatemeh Khavari Seyyed Morteza Ghamari Mohammd Abdollahzadeh Hasan Mollaee Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter IET Control Theory & Applications controller DC–DC power convertors fuzzy control |
| title | Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter |
| title_full | Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter |
| title_fullStr | Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter |
| title_full_unstemmed | Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter |
| title_short | Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter |
| title_sort | design of a novel robust type 2 fuzzy based adaptive backstepping controller optimized with antlion algorithm for buck converter |
| topic | controller DC–DC power convertors fuzzy control |
| url | https://doi.org/10.1049/cth2.12445 |
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