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Design of Lyapunov-Based Discrete-Time Adaptive Sliding Mode Control for Slip Control of Hybrid Electric Vehicle

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Intelligent Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1172))

Abstract

This paper has developed discrete-time Fuzzy Adaptive sliding mode control algorithm for controlling the slip ratio of a hybrid electric vehicle. Fuzzy logic algorithm is used to develop controller for controlling slip ratio so as to handle different road conditions. A discrete-time Sliding Mode Observer is designed to observe the vehicle velocity. Furthermore, an adaptive SMC has been designed by employing Lyapunov theory in order to adapt with slip dynamic change for varying or changing road conditions. The performances of designed controller such as ASMC, SMO, FLC, and Fuzzy PID for controlling slip ratio are compared using MATLAB simulation and it is proved that the discrete-time fuzzy ASMC perform most impressively and effectively.

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Author information

Authors and Affiliations

  1. Department of Electronics and Telecommunication, Government Polytechnic, Jintur, Maharashtra, 431509, India

    Khushal Chaudhari

  2. Department of Electrical Engineering, Government College of Engineering, Keonjhar, Odisha, 758002, India

    Ramesh Ch. Khamari

Authors
  1. Khushal Chaudhari
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  2. Ramesh Ch. Khamari
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Corresponding author

Correspondence to Ramesh Ch. Khamari .

Editor information

Editors and Affiliations

  1. Dpt of Electrical and Electronics Engg, Government College of Engineering, Keonjhar, India

    Subhransu Sekhar Dash

  2. Electronics and Communication Sciences, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

  3. Indian Institute of Technology, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

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Chaudhari, K., Khamari, R.C. (2021). Design of Lyapunov-Based Discrete-Time Adaptive Sliding Mode Control for Slip Control of Hybrid Electric Vehicle. In: Dash, S.S., Das, S., Panigrahi, B.K. (eds) Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 1172. Springer, Singapore. https://doi.org/10.1007/978-981-15-5566-4_9

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