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  • Nonlinear_Super_Twisting_based_Speed_Control_of_PMSG_ECS_using_Higher_Order_Sliding_Mode_Control

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Non-linear supertwisting speed control PMSG based Higher Order Sliding Mode Control

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Non-linear supertwisting speed control PMSG based Higher Order Sliding Mode Control. / Ayub, Muhammad; Ma, Xiandong.
2021 26th International Conference on Automation and Computing (ICAC). IEEE, 2021.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Ayub M, Ma X. Non-linear supertwisting speed control PMSG based Higher Order Sliding Mode Control. In 2021 26th International Conference on Automation and Computing (ICAC). IEEE. 2021 Epub 2021 Sept 3. doi: 10.23919/ICAC50006.2021.9594263

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Ayub, Muhammad ; Ma, Xiandong. / Non-linear supertwisting speed control PMSG based Higher Order Sliding Mode Control. 2021 26th International Conference on Automation and Computing (ICAC). IEEE, 2021.

Bibtex

@inproceedings{6f27ebf21f81412b93aea870fcb7d075,
title = "Non-linear supertwisting speed control PMSG based Higher Order Sliding Mode Control",
abstract = "To harvest the maximum power from an offshore wind energy-conversion-system (ECS), a robust controller is required to run the ECS constantly at the maximum-power-point (MPP). The maximum power point tracking schemes are developed via PID (proportional integral derivative) control, a model based SMC (sliding mode control) and a model based STA (super-twisting algorithm) to achieve supreme power from a permanent-magnet-synchronous- generator (PMSG) based variable speed wind energy conversion system (VSWECS). A detailed comparative analysis is carried out among the three competitors in MATLAB Simulink environment for a random wind energy speed profile. Furthermore, the final simulated results are analyzed and compared with results from standard feedback linearization (FBL).",
author = "Muhammad Ayub and Xiandong Ma",
note = "{\textcopyright}2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE",
year = "2021",
month = nov,
day = "15",
doi = "10.23919/ICAC50006.2021.9594263",
language = "English",
isbn = "9781665443524",
booktitle = "2021 26th International Conference on Automation and Computing (ICAC)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Non-linear supertwisting speed control PMSG based Higher Order Sliding Mode Control

AU - Ayub, Muhammad

AU - Ma, Xiandong

N1 - ©2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2021/11/15

Y1 - 2021/11/15

N2 - To harvest the maximum power from an offshore wind energy-conversion-system (ECS), a robust controller is required to run the ECS constantly at the maximum-power-point (MPP). The maximum power point tracking schemes are developed via PID (proportional integral derivative) control, a model based SMC (sliding mode control) and a model based STA (super-twisting algorithm) to achieve supreme power from a permanent-magnet-synchronous- generator (PMSG) based variable speed wind energy conversion system (VSWECS). A detailed comparative analysis is carried out among the three competitors in MATLAB Simulink environment for a random wind energy speed profile. Furthermore, the final simulated results are analyzed and compared with results from standard feedback linearization (FBL).

AB - To harvest the maximum power from an offshore wind energy-conversion-system (ECS), a robust controller is required to run the ECS constantly at the maximum-power-point (MPP). The maximum power point tracking schemes are developed via PID (proportional integral derivative) control, a model based SMC (sliding mode control) and a model based STA (super-twisting algorithm) to achieve supreme power from a permanent-magnet-synchronous- generator (PMSG) based variable speed wind energy conversion system (VSWECS). A detailed comparative analysis is carried out among the three competitors in MATLAB Simulink environment for a random wind energy speed profile. Furthermore, the final simulated results are analyzed and compared with results from standard feedback linearization (FBL).

U2 - 10.23919/ICAC50006.2021.9594263

DO - 10.23919/ICAC50006.2021.9594263

M3 - Conference contribution/Paper

SN - 9781665443524

BT - 2021 26th International Conference on Automation and Computing (ICAC)

PB - IEEE

ER -