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Fuzzy Logic Controller Design for Stabilizing and Trajectory Tracking of Vehicle Suspension System

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Intelligent and Cloud Computing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 194))

Abstract

The aim of this paper is to design a Fuzzy Logic Controller (FLC) in a Vehicle Suspension (VS) system for ride comfort improvement through absorption of shock that results from an uneven and rough road. The FLC is a novel approach whose gains dynamically vary with respect to the error and change in the error signal. The validation of the improved control performance of FLC is established by comparative result investigation with other published control algorithms. The comparative results clearly reveal the better response of the suggested approach to control the oscillation of the VS system within a stable range with respect to the accuracy, robustness and capability to control uncertainties.

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Author information

Authors and Affiliations

  1. Department of EEE, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India

    Akshaya Kumar Patra & Alok Kumar Mishra

  2. Department of EE, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India

    Ramachandra Agrawal

Authors
  1. Akshaya Kumar Patra
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  2. Alok Kumar Mishra
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  3. Ramachandra Agrawal
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Corresponding author

Correspondence to Akshaya Kumar Patra .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India

    Debahuti Mishra

  2. University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

  3. Department of Computer Science, University of California, Davis, CA, USA

    Prasant Mohapatra

  4. Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

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Patra, A.K., Mishra, A.K., Agrawal, R. (2021). Fuzzy Logic Controller Design for Stabilizing and Trajectory Tracking of Vehicle Suspension System. In: Mishra, D., Buyya, R., Mohapatra, P., Patnaik, S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 194. Springer, Singapore. https://doi.org/10.1007/978-981-15-5971-6_60

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