COMPARATIVE STUDY OF DIFFERENT TYPES OF CONTROLLERS IN AN ANTI-LOCK BRAKING SYSTEM USING MATLAB/SIMULINK

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Men Van Truong
Banh Thanh Huynh

Abstract

Anti-lock Braking System is one of the vital safety features in modern cars and trucks that can prevent the wheels from locking while the brakes are applied in the moving vehicles. During a braking condition, speed sensors in ABS send signals to the Anti-lock Braking System control unit to estimate the wheel slip ratio, and if the ratio is different from the desired value, the control unit will send a message to the braking actuator to control braking torque. In this paper, the dynamics and subsystems of the Anti-lock Braking System are presented and a model of the Anti-lock Braking System is developed in MATLAB/SIMULINK software. Different types of controllers, including the Bang-Bang controller, proportional-integral, proportional derivative, and proportional integral derivative controllers, are integrated into the model to investigate the effects of controlling strategies on the stopping distance, vehicle velocity, slip ratio, and braking torque. The simulation results show that the proportional derivative and proportional integral derivative controllers provide the shortest stopping distances and stopping times as compared with Bang-Bang and proportional-integral controllers on different types of roads. Furthermore, it also observed that the slip ratio during braking is kept similar to the desired value (20%) with the proportional derivative and proportional integral derivative controllers while it fluctuates between 10% and 30% for BangBang and proportional-integral controllers. The trend of the braking torque is also similar to the slip ratio. The model can be used to predict the braking performance of the Anti-lock Braking System under different conditions.

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1.
Truong M, Huynh B. COMPARATIVE STUDY OF DIFFERENT TYPES OF CONTROLLERS IN AN ANTI-LOCK BRAKING SYSTEM USING MATLAB/SIMULINK. journal [Internet]. 20Jul.2023 [cited 8May2024];13(6). Available from: https://journal.tvu.edu.vn/index.php/journal/article/view/2121
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References

[1] Majid MA, Bakar SA, Mansor S, Hamid MA, Ismail
NH. Modelling and PID Value search for antilock
braking system (ABS) of a passenger vehicle. Journal
of the Society of Automotive Engineers Malaysia.
2021;1(3): 228–236.
[2] Aksjonov A, Augsburg K, Vodovozov V. Design and
simulation of the robust ABS and ESP fuzzy logic
controller on the complex braking maneuvers. Applied
Sciences. 2016; 6(12): 382–400.
[3] More HR, Digrase AA, Wayse AV. Linear PID
control technique for single wheel ABS (anti-lock
braking system) of motorcycle. In: 2nd International
Conference for Convergence in Technology (I2CT),
9/4/2017, Mumbai, India. IEEE Xplore; 2017. p.277–
281.
[4] Gampa SR, Jasthi K, Alapati S, Gudey SK, Balas
VE. Fuzzy genetic algorithm based antilock braking
system. In: International Conference on Artificial
Intelligence Techniques for Electrical Engineering
Systems (AITEES 2022), 8/5/2022, India. Springer
Nature; 2023. p.13–22.
[5] Fernández JP, Vargas MA, García JMV, Carrillo
JAC, Aguilar JJC. Coevolutionary optimization of a
fuzzy logic controller for antilock braking systems
under changing road conditions. IEEE Transactions
on Vehicular Technology. 2021;70(2): 1255–1268.
[6] Gowda DV, Ramachandra AC. Slip ratio control
of anti-lock braking system with Bang-Bang controller. International Journal of Computer Techniques. 2017;4(1): 97–104.
[7] Ruzinskas A, Sivilevi ˇ cius H. Magic formula tyre ˇ
model application for a tyre-ice interaction. Procedia
Engineering. 2017;187: 335–341.
[8] Yuan C, Wei Y, Shen J, Chen L, He Y, Weng S, Wang
T. Research on path planning based on new fusion
algorithm for autonomous vehicle. International Journal of Advanced Robotic Systems. 2020;17(3): 12–19.
[9] Borase RP, Maghade DK, Sondkar SY, Pawar SN. A
review of PID control, tuning methods and applications. International Journal of Dynamics and Control.
2021;9(2): 818–827.