Experimental Validation of Fuzzy Logic Based Anti-Lock Braking System Used in Quarter Car Model

  • N. Vivekanandan, Dr. A. M. Fulambarkar, Spandan Waghmare

Abstract

Many control methods for development of Antilock braking system (ABS) are used. The present study represents the use of Fuzzy Logic in the development of ABS to enhance the control over braking. The purpose of the research is to reduce the accidents due to locking of wheels. Along with this an interdisciplinary approach has increased in automobiles to develop more efficient system. Vehicle dynamics and braking system is complex as they are highly nonlinear and time variant, which causes difficulties in development of conventional ABS. But these difficulties are overcome by Fuzzy logic-based system design that enhances braking performance. To avoid locking of wheel, the wheel acceleration and wheel slip are taken in to consideration. MATLAB SIMULINK environment is used to develop program of fuzzy logic and is interfaced with an experimental setup consisting of ABS implemented in a quarter car model. The membership functions in Fuzzy logic is tuned based on the requirements. The results indicate that fuzzy based ABS control improves the braking performance and the simulation results are validated with experimental setup.

Published
2020-04-07
How to Cite
N. Vivekanandan, Dr. A. M. Fulambarkar, Spandan Waghmare. (2020). Experimental Validation of Fuzzy Logic Based Anti-Lock Braking System Used in Quarter Car Model. International Journal of Control and Automation, 13(02), 332 - 348. Retrieved from https://sersc.org/journals/index.php/IJCA/article/view/8102
Section
Articles