A Critical Analysis of Fuzzy Logic Controller for Slip Control in Antilock Braking System (ABS)

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    This project aims at proposing an innovative way to implement the concept of fuzzy logic to an ABS model. The implementation of this project was conducted using simulation of ABS which is a combination from vehicle speed, wheel speed and slip through MATLAB Simulink software. By implementing fuzzy logic to the ABS system, the fuzzy logic can facilitate in improving the ABS abilities. The ABS model is developed and fuzzy logic controller is implemented to the model. The performance of the Fuzzy ABS is analyzed. The result shows that the fuzzy logic controller can facilitates the performance of the ABS by reducing the stopping time and maintaining the slip value near to 0.2.

     

     


  • Keywords


    Antilock Braking System (ABS); Fuzzy Logic Controller.

  • References


      [1] P. Pandiaraj and P. Kalaiselvan, “Advanced control systems in two wheeler and finding the collision site of the vehicle using GSM,” International Journal of Research in Engineering and Technology, 3(3), 628–632, 2014.

      [2] J. A. Oyedepo and A. Folaponmile, “Implementation of a fuzzy logic speed controller for a permanent magnet brushless dc motor drive system,” Journal of Research in National Development, 9(2), 65–72, 2011.

      [3] V. R. Aparow, K. Hudha, F. Ahmad, and H. Jamaluddin, “Development of antilock braking system using electronic wedge brake model,” Journal of Mechanical Engineering and Technology, 6(1), 37–64, 2014.

      [4] D. Burton, A. Delaney, S. Newstead, D. Logan and B. Fildes, "Effectiveness of ABS and vehicle stability control systems," Technical report, Royal Automobile Club of Victoria Ltd., 2004.

      [5] A. A. Aly, E.-S. Zeidan, A. Hamed, and F. Salem, “An Antilock-Braking Systems (ABS) Control: A technical review,” Intelligent Control and Automation, 2(3), 186– 195, 2011.

      [6] C. Jain, R. Abhishek, and A. Dixit, “Linear control technique for anti-lock braking system,” International Journal of Engineering Research and Applications, 4(8), 104–108, 2014.

      [7] D. Antic, V. Nikolic, D. Mitic, M. Milojkovic, and S. Peric, “Sliding mode control of anti-lock braking system: An overview,” Automation Control and Robotics Journal, 9, 41–58, 2010.

      [8] H. Lin and C. Song, “Design of a fuzzy logic controller for ABS of Electric Vehicle based on AMESim and Simulink,” Proceedings of the International Conference on Transportation, Mechanical and Electrical Engineering, pp. 779–782, 2011.

      [9] Meritor Wabco, “Anti-lock braking system training program,” 1999, http://www.meritorwabco.com/MeritorWABCO_document/tp9738.pdf.

      [10] Ahmed M. El-Garhy, Gamal A. El-Sheikh and Mohamed H. El-Saify “Fuzzy life extending of anti-lock braking system,” Ain Shams Engineering Journal, 4(4), 735–751, 2013.


 

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Article ID: 20981
 
DOI: 10.14419/ijet.v7i3.28.20981




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