Comparative Analysis of ABS Braking Performance Using Fuzzy Logic Controller and Bang-Bang Control under Dry and Wet Road Conditions
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Jan 9, 2026
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Abstract
In this study, The effectiveness of the Anti-Lock Braking System is evaluated by comparing bang-bang control with fuzzy logic control. ABS plays a crucial role in vehicle safety, as it manages braking torque to ensure wheel slip remains at an optimal level, preventing the wheels from locking and maintaining control of the vehicle. A mathematical ABS model was implemented and analyzed using MATLAB/Simulink simulations to examine how both controllers behave. The simulation outcomes highlight that fuzzy logic control performs better than bang-bang control, with advantages such as shorter stopping distances, faster braking responses, and more stable slip control.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Ilhamdan Prima, D., Kholid, I., & Nasrullah, H. (2026). Comparative Analysis of ABS Braking Performance Using Fuzzy Logic Controller and Bang-Bang Control under Dry and Wet Road Conditions. Jurnal E-Komtek (Elektro-Komputer-Teknik), 9(2), 601-615. https://doi.org/10.37339/e-komtek.v9i2.2804
References
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[13] M. Mokarram, A. Khoei, and K. Hadidi, “A fuzzy Anti-lock braking system (ABS) controller using CMOS circuits,” Microprocess. Microsyst., vol. 70, pp. 47–52, 2019, doi: 10.1016/j.micpro.2019.05.001.
[14] F. Jiang and Z. Gao, “An application of nonlinear PID control to a class of truck ABS problems,” no. May, pp. 516–521, 2002, doi: 10.1109/.2001.980154.
[15] P. Shah, S. K. Labh, and S. P. Adhikari, “Study on Performance of Vehicle Anti-lock Braking System with Fuzzy Logic controller in Matlab/Simulink,” Int. J. Sci. Res. Eng. Dev., vol. 3, no. 2, pp. 972–978, 2020, [Online]. Available: https://ijsred.com/volume3/issue4/IJSRED-V3I4P115.pdf
[2] P. Lakhemaru and S. P. Adhikari, “Design and Analysis of Vehicle Anti-Lock Braking System with Fuzzy Logic, Bang-Bang and PID Controllers,” Himal. J. Appl. Sci. Eng., vol. 3, no. 1, pp. 8–17, 2022, doi: 10.3126/hijase.v3i1.46941.
[3] S. Abd El-Fatah, A.-N. Sharkawy, N. Ghazaly, and A. Moaaz, “A Comparative Study of Different Control Methods for Anti-Lock Braking System (ABS),” SVU-International J. Eng. Sci. Appl., vol. 2, no. 1, pp. 27–34, 2021, doi: 10.21608/svusrc.2021.65855.1007.
[4] V. H. Quan, L. T. Long, N. A. Ngoc, and N. M. Tien, “A Comparison of the Performance of Anti-Lock Braking System (ABS) Using Fuzzy and PID Controllers,” Proc. 2022 6th Int. Conf. Green Technol. Sustain. Dev. GTSD 2022, no. June, pp. 243–248, 2022, doi: 10.1109/GTSD54989.2022.9989135.
[5] C. K. Huang and M. C. Shih, “Design of a hydraulic anti-lock braking system (ABS) for a motorcycle,” J. Mech. Sci. Technol., vol. 24, no. 5, pp. 1141–1149, 2010, doi: 10.1007/s12206-010-0320-9.
[6] M. S. Rahmat et al., “Predictive Performance of Anti-Lock Braking System with PID Controller Optimized by Gravitational Search Algorithm for a Quarter Car Model: Simulation Modeling and Control,” Automot. Exp., vol. 8, no. 1, pp. 19–31, 2025, doi: 10.31603/ae.12675.
[7] O. T. Nyandoro, J. O. Pedro, O. A. Dahunsi, and B. Dwolatzky, Linear slip control formulation for vehicular anti-lock braking system with suspension effects, vol. 44, no. 1 PART 1. IFAC, 2011. doi: 10.3182/20110828-6-IT-1002.02971.
[8] X. Liu, C. Ma, Y. Jiang, L. Zhang, and Y. Xue, “Research on Anti-lock Braking System of Electro-mechanical Braking Vehicle Based on Feature Extraction,” J. Phys. Conf. Ser., vol. 1982, no. 1, 2021, doi: 10.1088/1742-6596/1982/1/012001.
[9] J. A. Cabrera, A. Ortiz, J. J. Castillo, and A. Simón, “A fuzzy logic control for antilock braking system integrated in the IMMa tire test bench,” IEEE Trans. Veh. Technol., vol. 54, no. 6, pp. 1937–1949, 2005, doi: 10.1109/TVT.2005.853479.
[10] M. Mamat and N. M. Ghani, “Fuzzy logic controller on automated car braking system,” 2009 IEEE Int. Conf. Control Autom. ICCA 2009, no. 0, pp. 2371–2375, 2009, doi: 10.1109/ICCA.2009.5410301.
[11] Ş. Çetin and Ö. Demir, “Fuzzy PID Controller with Coupled Rules for a,” World Acad. Sci. Eng. Technol., vol. 2, no. 5, pp. 238–241, 2008.
[12] M. Oudghiri, M. Chadli, and A. El Hajjaji, “Robust Fuzzy Sliding Mode Control for Antilock Braking System,” Int. J. Sci. Tech. Autom. Control, vol. 1, no. June 2007, pp. 13–28, 2007.
[13] M. Mokarram, A. Khoei, and K. Hadidi, “A fuzzy Anti-lock braking system (ABS) controller using CMOS circuits,” Microprocess. Microsyst., vol. 70, pp. 47–52, 2019, doi: 10.1016/j.micpro.2019.05.001.
[14] F. Jiang and Z. Gao, “An application of nonlinear PID control to a class of truck ABS problems,” no. May, pp. 516–521, 2002, doi: 10.1109/.2001.980154.
[15] P. Shah, S. K. Labh, and S. P. Adhikari, “Study on Performance of Vehicle Anti-lock Braking System with Fuzzy Logic controller in Matlab/Simulink,” Int. J. Sci. Res. Eng. Dev., vol. 3, no. 2, pp. 972–978, 2020, [Online]. Available: https://ijsred.com/volume3/issue4/IJSRED-V3I4P115.pdf