Robust Adaptive Terminal Reaching Law-Based Sliding Mode Direct Thrust Control for LIM Adapted to Urban Transportation

In this article, a robust adaptive terminal reaching law (ATRL)-based improved terminal sliding mode control (ITSMC) under direct thrust control (DTC) (ATRL-based ITSMC-DTC) method is proposed for the linear induction machine (LIM) drive system. First, the ITSMC is designed from the conventional TSMC to achieve smoother performance under a steady state. Second, the ATRL-based ITSM under the DTC strategy is developed for speed control to achieve faster dynamic response with stronger robustness against load disturbances, smaller tracking error than the conventional DTC (CDTC), and TSMC-DTC of the LIM drive system. Subsequently, the proposed method has been carefully developed to guarantee that the implementation process is thoroughly examined and the stability of the closed-loop system is verified using the Lyapunov candidate. Finally, the simulation and experimental analysis have been conducted on a prototyped 3-kW arc induction machine. This analysis involved three different dynamic working scenarios: start-up response, speed change response, and load change response. A full simulation and experimental comparison of the three methods clearly confirmed that the proposed method is superior in terms of faster dynamic response, lower tracking error, and better anti-disturbance ability than the two other methods.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2024-11-04
DOI
https://doi.org/10.1109/tte.2024.3490632
Citations
2
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.66
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article

Robust Adaptive Terminal Reaching Law-Based Sliding Mode Direct Thrust Control for LIM Adapted to Urban Transportation

Yirong Tang, Abdul Khalique Junejo, Moustafa Magdi Ismail, Ke Wang et al.
2 citations
IEEE Transactions on Transportation Electrification
Traffic control and management
0.66
article

Robust Adaptive Terminal Reaching Law-Based Sliding Mode Direct Thrust Control for LIM Adapted to Urban Transportation

Yirong Tang, Abdul Khalique Junejo, Moustafa Magdi Ismail, Ke Wang, Wei Xu, Han Xiao
article en
2 citations

Abstract

In this article, a robust adaptive terminal reaching law (ATRL)-based improved terminal sliding mode control (ITSMC) under direct thrust control (DTC) (ATRL-based ITSMC-DTC) method is proposed for the linear induction machine (LIM) drive system. First, the ITSMC is designed from the conventional TSMC to achieve smoother performance under a steady state. Second, the ATRL-based ITSM under the DTC strategy is developed for speed control to achieve faster dynamic response with stronger robustness against load disturbances, smaller tracking error than the conventional DTC (CDTC), and TSMC-DTC of the LIM drive system. Subsequently, the proposed method has been carefully developed to guarantee that the implementation process is thoroughly examined and the stability of the closed-loop system is verified using the Lyapunov candidate. Finally, the simulation and experimental analysis have been conducted on a prototyped 3-kW arc induction machine. This analysis involved three different dynamic working scenarios: start-up response, speed change response, and load change response. A full simulation and experimental comparison of the three methods clearly confirmed that the proposed method is superior in terms of faster dynamic response, lower tracking error, and better anti-disturbance ability than the two other methods.

IEEE Transactions on Transportation ElectrificationVol. 11(2)
King Fahd University of Petroleum and Minerals (SA), Chinese Academy of Sciences (CN), Institute of Electrical Engineering (CN), Huazhong University of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 29%
Traffic control and management
0.66
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Robust Adaptive Terminal Reaching Law-Based Sliding Mode Direct Thrust Control for LIM Adapted to Urban Transportation — Yirong Tang, Abdul Khalique Junejo, et al. · IEEE Transactions on Transportation Electrification (2024) | TGRS Research Map | TGRS