Robust Wheel Slip for Vehicle Anti-lock Braking System with Fuzzy Sliding Mode Controller (FSMC)
Anti-lock Braking System (ABS) is used in automobiles to prevent slipping and locking of wheels after the brakes are applied. Its control is a rather complicated problem due to its strongly nonlinear and uncertain characteristics. The aim of this paper is to investigate the wheel slip control of the ground vehicle, comprising two new strategies. The first strategy is the Sliding Mode Controller (SMC) and the second one is the Fuzzy Sliding Mode Controller (FSMC), which is a combination of fuzzy logic and sliding mode, to ensure the stability of the closed-loop system and remove the chattering phenomenon introduced by classical sliding mode control. The obtained simulation results reveal the efficiency of the proposed technique for various initial road conditions.
Keywords:Anti-lock Braking System (ABS), sliding mode control, fuzzy logic control, fuzzy sliding mode control, wheel slip ratio
D. Hong, I. Hwang, P. Yoon, and K. Huh, "Development of a Vehicle Stability Control System Using Brake-by-Wire Actuators," Journal of Dynamic Systems, Measurement, and Control, vol. 130, no. 1, Jan. 2008. DOI: https://doi.org/10.1115/1.2807190
M. C. Wu and M. C. Shih, "Simulated and experimental study of hydraulic anti-lock braking system using sliding-mode PWM control," Mechatronics, vol. 13, no. 4, pp. 331-351, May 2003. DOI: https://doi.org/10.1016/S0957-4158(01)00049-6
T. Shim, S. Chang, and S. Lee, "Investigation of Sliding-Surface Design on the Performance of Sliding Mode Controller in Antilock Braking Systems," IEEE Transactions on Vehicular Technology, vol. 57, no. 2, pp. 747-759, Mar. 2008. DOI: https://doi.org/10.1109/TVT.2007.905391
M. Tanelli and A. Ferrara, "Active braking control for two-wheeled vehicles via switched second order sliding modes," in Proceedings of the 2011 American Control Conference, San Francisco, CA, Jun. 2011, pp. 3930-3935. DOI: https://doi.org/10.1109/ACC.2011.5990761
A. Harifi, A. Aghagolzadeh, G. Alizadeh, and M. Sadeghi, "Designing a sliding mode controller for slip control of antilock brake systems," Transportation Research Part C: Emerging Technologies, vol. 16, no. 6, pp. 731-741, Dec. 2008. DOI: https://doi.org/10.1016/j.trc.2008.02.003
C. Unsal and P. Kachroo, "Sliding mode measurement feedback control for antilock braking systems," IEEE Transactions on Control Systems Technology, vol. 7, no. 2, pp. 271-281, Mar. 1999. DOI: https://doi.org/10.1109/87.748153
B. Subudhi and S. S. Ge, "Sliding-Mode-Observer-Based Adaptive Slip Ratio Control for Electric and Hybrid Vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 4, pp. 1617-1626, Dec. 2012. DOI: https://doi.org/10.1109/TITS.2012.2196796
S. Ghrab, A. Benamor, and H. Messaoud, "Robust discrete-time sliding mode control for systems with time-varying state delay and uncertainties on state and control input," Transactions of the Institute of Measurement and Control, vol. 39, no. 9, pp. 1293-1312, Sep. 2017. DOI: https://doi.org/10.1177/0142331216636954
C.-C. Kung and T.-H. Chen, "Observer-based indirect adaptive fuzzy sliding mode control with state variable filters for unknown nonlinear dynamical systems," Fuzzy Sets and Systems, vol. 155, no. 2, pp. 292-308, Oct. 2005. DOI: https://doi.org/10.1016/j.fss.2005.04.016
W.-Y. Wang, I.-H. Li, M.-C. Chen, S.-F. Su, and S.-B. Hsu, "Dynamic Slip-Ratio Estimation and Control of Antilock Braking Systems Using an Observer-Based Direct Adaptive Fuzzy-Neural Controller," IEEE Transactions on Industrial Electronics, vol. 56, no. 5, pp. 1746-1756, May 2009. DOI: https://doi.org/10.1109/TIE.2008.2009439
E. Nechadi, "Adaptive Fuzzy Type-2 Synergetic Control Based on Bat Optimization for Multi-Machine Power System Stabilizers," Engineering, Technology & Applied Science Research, vol. 9, no. 5, pp. 4673-4678, Oct. 2019. DOI: https://doi.org/10.48084/etasr.2970
M. Amodeo, A. Ferrara, R. Terzaghi, and C. Vecchio, "Wheel Slip Control via Second-Order Sliding-Mode Generation," IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 1, pp. 122-131, Mar. 2010. DOI: https://doi.org/10.1109/TITS.2009.2035438
C.-M. Lin and C.-F. Hsu, "Self-learning fuzzy sliding-mode control for antilock braking systems," IEEE Transactions on Control Systems Technology, vol. 11, no. 2, pp. 273-278, Mar. 2003. DOI: https://doi.org/10.1109/TCST.2003.809246
Z. B. Duranay, H. Guldemir, and S. Tuncer, "Fuzzy Sliding Mode Control of DC-DC Boost Converter," Engineering, Technology & Applied Science Research, vol. 8, no. 3, pp. 3054-3059, Jun. 2018. DOI: https://doi.org/10.48084/etasr.2116
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