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Abstract

Anti-lock Braking Systems (ABS) are critical safety components in the passenger vehicles. The ABS prevents wheel lock-up during braking and maintains vehicle control. However, conventional braking systems have produced limitations in stopping distance and slip ratio, especially on varying road surfaces. This research addresses these issues by developing an ABS model using a quarter-car framework incorporated with a PID controller optimized by using Gravitational Search Algorithm (GSA). In this study, the mathematical equation of a quarter-car brake model is derived to represent a conventional braking system to provide a basis system for analyzing its performance. Next, a Simulink model is developed in MATLAB to simulate the conventional braking system. To develop an ABS model, a PID controller is developed. The PID parameters are tuned manually using a trial-and-error approach to provide a baseline for comparison. Subsequently, GSA is applied to optimize the PID controller parameters to improve stopping distance and maintain optimal slip ratios. The ABS performance is evaluated by analyzing performance criteria including stopping distance, slip ratio, vehicle speed, and wheel speed. Comparative analysis indicated significant improvements in braking performance against the conventional system. The ABS with PID controller optimized by GSA reduced stopping distances, better slip ratio control, and improved vehicle stability during braking. The expected finding of the proposed ABS with PID optimized by GSA offers considerable advancements in automotive braking technology. These results underscore the potential for real-world applications in enhancing vehicle safety systems, contributing to safer and more reliable passenger vehicle braking performance.

Keywords

Anti-lock braking system PID controller Quarter car model Gravitational search algorithm

Article Details

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References

  1. M. S. Basrah, E. Velenis, and D. Cao, “Four wheel torque blending for slip control in a hybrid electric vehicle with a single electric machine,” Proceeding - 2015 International Conference on Sustainable Energy Engineering and Application: Sustainable Energy for Greater Development, ICSEEA 2015, pp. 19–24, 2016, doi: 10.1109/ICSEEA.2015.7380739.
  2. A. Staputis and V. Žuraulis, “Research of Efficiency of Anti-lock Braking System During Emergency Cornering Manoeuver,” in Proceedings of the 13th International Conference TRANSBALTICA, Vilnius: Springer International Publishing, 2023, pp. 224–235. doi: 10.1007/978-3-031-25863-3_21.
  3. W. Li, W. Zhou, and L. Gao, “Vehicle braking efficiency on-line monitoring and evaluation with MFDD,” Advanced Materials Research, vol. 605–607, pp. 968–971, 2013, doi: 10.4028/www.scientific.net/AMR.605-607.968.
  4. I. Khan, I. Hussain, M. Z. A. Shah, K. Kazi, and A. A. Patoli, “Design and simulation of anti-lock braking system based on electromagnetic damping phenomena,” 2017 1st International Conference on Latest Trends in Electrical Engineering and Computing Technologies, INTELLECT 2017, vol. 2018-Janua, pp. 1–8, 2017, doi: 10.1109/INTELLECT.2017.8277615.
  5. F. Ahmad, S. Amri Mazlan, K. Hudha, H. Jamaluddin, and H. Zamzuri, “Fuzzy fractional PID gain controller for antilock braking system using an electronic wedge brake mechanism,” International Journal of Vehicle Safety, vol. 10, no. 2, pp. 97–121, 2018, doi: 10.1504/IJVS.2018.094154.
  6. V. D. Gowda, M. Ramesha, S. B. Sridhara, G. N. Pai, and S. K. Patil, “Design of Antilock Braking System Based on Wheel Slip Estimation,” Journal of Physics: Conference Series, vol. 1706, no. 1, 2020, doi: 10.1088/1742-6596/1706/1/012216.
  7. 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,” Journal of Physics: Conference Series, vol. 1982, no. 1, 2021, doi: 10.1088/1742-6596/1982/1/012001.
  8. W. Cao, “Modeling and simulation of the anti-lock braking system based on MATLAB/Simulink,” Journal of Physics: Conference Series, vol. 1941, no. 1, p. 012075, 2021, doi: 10.1088/1742-6596/1941/1/012075.
  9. A. P. Blancas1, A. L. Galicia2, and M. E. Leal, “Simulation and Comparison of a PID Controller for an Anti-Lock Braking System,” International Journal of Science and Research, vol. 8, no. 9, pp. 1128–1136, 2018, [Online]. Available: https://www.ijsr.net/archive/v8i9/ART20201140.pdf
  10. S. I. Haris, F. Ahmad, M. H. C. Hassan, A. K. M. Yamin, and N. R. M. Nuri, “Self Tuning PID Control of Antilock Braking System using Electronic Wedge Brake,” International Journal of Automotive and Mechanical Engineering, vol. 18, no. 4, pp. 9333–9348, 2021, doi: 10.15282/IJAME.18.4.2021.15.0718.
  11. Y. Yang, Q. Tang, L. Bolin, and C. Fu, “Dynamic coordinated control for regenerative braking system and anti-lock braking system for electrified vehicles under emergency braking conditions,” IEEE Access, vol. 8, pp. 172664–172677, 2020, doi: 10.1109/ACCESS.2020.3024918.
  12. H. Jain, S. Maitreya, and P. Paliwal, “Cooperative Control of Regenerative and Anti-lock Braking Systems in Electric Vehicles Using Fuzzy Logic,” 2021 4th International Conference on Recent Developments in Control, Automation and Power Engineering, RDCAPE 2021, vol. 3, pp. 62–66, 2021, doi: 10.1109/RDCAPE52977.2021.9633401.
  13. P. Chaudhari, V. Sharma, P. D. Shendge, and S. B. Phadke, “Disturbance observer based sliding mode control for anti-lock braking system,” 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016, pp. 1–5, 2017, doi: 10.1109/ICPEICES.2016.7853488.
  14. J. Seyyed Esmaeili, A. Başçi, and A. Farnam, “Design and Verification of Offline Robust Model Predictive Controller for Wheel Slip Control in ABS Brakes,” Machines, vol. 11, no. 8, 2023, doi: 10.3390/machines11080803.
  15. M. Harly, Marji, Yoto, and Paryono, “Model of Integrated of Car Brake-Active Suspension of Quarter Car Model By Using LQR Control Under Periodic Road Excitation,” IOP Conference Series: Materials Science and Engineering, vol. 1152, no. 1, p. 012023, 2021, doi: 10.1088/1757-899x/1152/1/012023.
  16. Q. Fu, L. Zhao, M. Cai, M. Cheng, and X. Sun, “Simulation research for quarter vehicle ABS on complex surface based on PID control,” 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings, pp. 2072–2075, 2012, doi: 10.1109/CECNet.2012.6201828.
  17. 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 Journal of Engineering Sciences and Applications, vol. 2, no. 1, pp. 27–34, 2021, doi: 10.21608/svusrc.2021.65855.1007.
  18. D. K. Yadav, “Modeling an Intelligent Controller for Anti-Lock Braking System,” International Journal of Technical Research and Applications, vol. 3, no. 4, pp. 122–126, 2015.
  19. M. M. Abdul Majid, S. A. Abu Bakar, S. Mansor, M. K. Abdul Hamid, and N. H. Ismail, “Modelling and PID Value Search for Antilock Braking System (ABS) of a Passenger Vehicle,” Journal of the Society of Automotive Engineers Malaysia, vol. 1, no. 3 SE-Original Articles, pp. 228–236, Apr. 2021, doi: 10.56381/jsaem.v1i3.57.
  20. S. Formentin, C. Novara, S. M. Savaresi, and M. Milanese, “Active Braking Control System Design: The D2-IBC Approach,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 4, pp. 1573–1584, 2015, doi: 10.1109/TMECH.2015.2412172.
  21. S. Aghasizade, M. Mirzaei, and S. Rafatnia, “The Effect of Road Quality on Integrated Control of Active Suspension and Anti-lock Braking Systems,” vol. 3, no. 1, pp. 123–135, 2019, doi: 10.22060/ajme.2018.14383.5724.
  22. 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,” Proceedings of 2022 6th International Conference on Green Technology and Sustainable Development, GTSD 2022, no. 1, pp. 243–248, 2022, doi: 10.1109/GTSD54989.2022.9989135.
  23. C. Acosta Lúa, S. Di Gennaro, and J. Barbot, “Nonlinear control of an antilock braking system in the presence of tire–road friction uncertainties,” Journal of the Franklin Institute, vol. 359, no. 6, pp. 2608–2626, 2022, doi: 10.1016/j.jfranklin.2022.02.010.
  24. S. Zhu, X. Fan, G. Qi, and P. Wang, “Review on Control Algorithms of Vehicle Anti-lock Braking System,” Recent Patents on Engineering, vol. 16, Mar. 2022, doi: 10.2174/1872212116666220324154143.
  25. M. F. Abdullah, “Anti-Lock Braking Systems : A Comparative Study of Control Strategies and Their Impact on Vehicle Safety,” no. January, 2024, doi: 10.47001/IRJIET/2024.809016.
  26. M. Mirzaei and H. Mirzaeinejad, “Optimal design of a non-linear controller for anti-lock braking system,” Transportation Research Part C, vol. 24, pp. 19–35, 2012, doi: 10.1016/j.trc.2012.01.008.
  27. E. Rashedi, E. Rashedi, and H. Nezamabadi-pour, “A comprehensive survey on gravitational search algorithm,” Swarm and Evolutionary Computation, vol. 41, no. February, pp. 1–18, 2018, doi: 10.1016/j.swevo.2018.02.018.
  28. E. Rashedi, H. Nezamabadi-pour, and S. Saryazdi, “GSA: A Gravitational Search Algorithm,” Information Sciences, vol. 179, no. 13, pp. 2232–2248, 2009, doi: 10.1016/j.ins.2009.03.004.
  29. N. H. Amer, R. Ramli, W. N. L. Mahadi, and M. A. Z. Abidin, “A review on control strategies for passenger car intelligent suspension system,” in InECCE 2011 - International Conference on Electrical, Control and Computer Engineering, 2011, pp. 404–409. doi: 10.1109/INECCE.2011.5953915.
  30. M. Montani, D. Vitaliti, R. Capitani, and C. Annicchiarico, “Performance review of three car integrated abs types: Development of a tire independent wheel speed control,” Energies, vol. 13, no. 23, 2020, doi: 10.3390/en13236183.
  31. S. Rajendran, S. K. Spurgeon, G. Tsampardoukas, and R. Hampson, “Estimation of road frictional force and wheel slip for effective antilock braking system (ABS) control,” International Journal of Robust and Nonlinear Control, vol. 29, no. 3, pp. 736–765, 2019, doi: 10.1002/rnc.4366.
  32. V. R. Aparow, F. Ahmad, K. Hudha, and H. Jamaluddin, “Modelling and PID control of antilock braking system with wheel slip reduction to improve braking performance,” International Journal of Vehicle Safety, vol. 6, no. 3, p. 265, 2013, doi: 10.1504/ijvs.2013.055025.
  33. A. Challa, K. Ramakrushnan, P. V. Gaurkar, S. C. Subramanian, G. Vivekanandan, and S. Sivaram, “A 3-phase combined wheel slip and acceleration threshold algorithm for anti-lock braking in heavy commercial road vehicles,” Vehicle System Dynamics, vol. 60, no. 7, pp. 2312–2333, Jul. 2022, doi: 10.1080/00423114.2021.1903048.
  34. M. Ulum and D. Arifianto Patriawan, “Modeling and Performance Testing of Anti-Lock Braking System (ABS) with Variation of Road Friction Coefficient to Braking Distance,” Rekayasa, vol. 15, no. 3, pp. 340–345, 2022, doi: 10.21107/rekayasa.v15i3.16561.
  35. A. J. Abougarair, N. A. A. Shashoa, and M. K. I. Aburakhis, “Performance of Anti-Lock Braking Systems Based on Adaptive and Intelligent Control Methodologies,” Indonesian Journal of Electrical Engineering and Informatics, vol. 10, no. 3, pp. 626–643, 2022, doi: 10.52549/ijeei.v10i3.3794.
  36. 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, vol. 6, no. 1, pp. 37–64, 2014.

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