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Sliding Mode Control of Onboard Energy Storage System for Railway Braking Energy Recovery

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Advances in Robotics, Automation and Data Analytics (iCITES 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1350))

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Abstract

In this study, a sliding mode controller (SMC) is constructed in order to control an onboard energy storage system ESS ensuring regenerative braking energy (RBE) saving in a railway traction system. The complete mathematical model of a supercapacitor (SC) Based energy storage system (ESS) is developed. Then, the SMC scheme is designed as to enhance both of precision and rapidity of the system. To illustrate the efficiency of the proposed controller, numerical simulations are carried out in MATLAB/SIMULINK environment. The simulation results validate the efficiency of the proposed controller, it shows that the SMC ensures a good reference tracking performance, and reduces the integral time absolute error (ITAE) by 14.39% and 21.81% compared to the classical Proportional Integral (PI) and fuzzy self-tuning PI (FSTPI) controllers, respectively. In addition, the overshoot is reduced by 18.94% and 40.28% compared to FSTPI and PI; respectively. Furthermore, a faster transient response is recorded.

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Acknowledgment

This work was supported by the Moroccan National Railways Office “ONCF” in the framework of the Railway Energy Efficiency Research project.

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Authors and Affiliations

  1. Mohammadia School of Engineers (EMI), Engineering for Smart and Sustainable Systems Research Center, Mohammed V University, Rabat, Morocco

    Sadiq Eziani & Mohammed Ouassaid

Authors
  1. Sadiq Eziani
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  2. Mohammed Ouassaid
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Correspondence to Sadiq Eziani .

Editor information

Editors and Affiliations

  1. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Jessnor Arif Mat Jizat

  2. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Ismail Mohd Khairuddin

  3. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Mohd Azraai Mohd Razman

  4. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Ahmad Fakhri Ab. Nasir

  5. College of Engineering, Universiti Malaysia Pahang, Gambang, Malaysia

    Mohamad Shaiful Abdul Karim

  6. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Abdul Aziz Jaafar

  7. UCSI University, Kuala Lumpur, Malaysia

    Lim Wei Hong

  8. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Anwar P. P. Abdul Majeed

  9. University of York, York, UK

    Pengcheng Liu

  10. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Hyun Myung

  11. Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Han-Lim Choi

  12. Department of Information Engineering, University of Padua, Padova, Italy

    Gian-Antonio Susto

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Eziani, S., Ouassaid, M. (2021). Sliding Mode Control of Onboard Energy Storage System for Railway Braking Energy Recovery. In: Mat Jizat, J.A., et al. Advances in Robotics, Automation and Data Analytics. iCITES 2020. Advances in Intelligent Systems and Computing, vol 1350. Springer, Cham. https://doi.org/10.1007/978-3-030-70917-4_8

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