Abstract

Active safety features aim to avoid or reduce road accidents, in contrast to passive safety features, which are meant to protect occupants after a collision. An Anti-lock Braking System (ABS) is a category of active safety breaking that stops the wheels from locking during a braking action, keeping them in contact with the ground. Different researchers have proposed various control methods for developing the ABS controller. A controller is effective if it reduces stopping distance and time and maintains the desired slip ratio. In this research paper, a quarter-vehicle model is utilized to evaluate the effect of the controller on the Anti-lock Braking System (ABS) and study longitudinal braking dynamics. The Bang-bang controller, Proportional Integral Derivative (PID) controller and the Fuzzy Logic (FL) controller for the ABS were modelled in MATLAB/ Simulink software. A feedback controller that abruptly flips between the two states is called a bang-bang controller, also called an on-off, two-step, or hysteresis controller. PID (Proportional - Integral - Derivative) parameters were obtained using the Ziegler Nichols tuning Method. A comparative analysis of the controllers concerning braking distance, braking time, and normalized relative slip was performed. ABS with the Fuzzy Logic (FL) controller outperforms both the Proportional - Integral - Derivative (PID) and bang-bang controllers.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call