A vehicle ABS adaptive sliding-mode control algorithm based on the vehicle velocity estimation and tyre/road friction coefficient estimations

References

• Leiber H, Czinczel A. Antiskid system for passenger cars with a digital electronic control unit; SAE technical paper series; no. 790458; 1979. p. 1–7.
   Google Scholar
• Jing H, Liu Z, Chen H. A switched control strategy for antilock braking system with on/off valves. IEEE Trans Veh Technol. 2011;60(4):1470–1484. doi: 10.1109/TVT.2011.2125806
   Web of Science ®Google Scholar
• Johansen TA, Kalkkuhl J, Lüdemann J, Petersen I. Hybrid control strategies in ABS. Proceedings of the 2001 American control conference; Arlington, VA, 2001. p. 1704–1705.
   Google Scholar
• Wu MC, Shih MC. Hydraulic Anti-lock braking control using the hybrid sliding-mode pulse width modulation pressure control method. Proc Inst Mech Eng Part I: J Syst Control Eng. 2001;215(2):177–187.
   Google Scholar
• William PL. Hybrid modeling and limit cycle analysis for a class of five-phase anti-lock brake algorithms. Veh Syst Dyn. 2006;44(2):173–188.
   Web of Science ®Google Scholar
• Tanelli M, Osorio G, Mario B, Savaresi SM, Astolfi A. Existence, stability and robustness analysis of limit cycles in hybrid anti-lock braking systems. Int J Control. 2009;82(4):659–678. doi: 10.1080/00207170802203598
   Web of Science ®Google Scholar
• Mirzaei A, Moallem M, Mirzaeian B, Fahimi B. Design of an optimal fuzzy controller for antilock braking systems. IEEE Trans Veh Technol. 2006;55(6):1725–1730. doi: 10.1109/TVT.2006.878714
   Web of Science ®Google Scholar
• Ünsal C, Kachroo P. Sliding mode measurement feedback control for antilock braking systems. IEEE Trans Control Syst Technol. 1999;7(2):271–281. doi: 10.1109/87.748153
   Web of Science ®Google Scholar
• Shim T, Chang S, Lee S. Investigation of sliding-surface design on the performance of sliding mode controller in antilock braking systems. IEEE Trans Veh Technol. 2008;57(2):747–759. doi: 10.1109/TVT.2007.905391
   Web of Science ®Google Scholar
• KayacAn E, Oniz Y, Kaynak O. A grey system modeling approach for sliding-mode control of antilock braking system. IEEE Trans Ind Electron. 2009;56(8):3244–3252. doi: 10.1109/TIE.2009.2023098
   Web of Science ®Google Scholar
• Johansen TA, Petersen I, Kalkkuhl J, Ludemann J. Gain-scheduled wheel slip control in automotive brake systems. IEEE Trans Control Syst Technol. 2003;11(6):799–811. doi: 10.1109/TCST.2003.815607
   Web of Science ®Google Scholar
• Savaresi SM, Tanelli M, Cantoni C. Mixed slip-deceleration control in automotive braking systems. J Dyn Syst Meas Contr. 2007;129(1):20–31. doi: 10.1115/1.2397149
   Web of Science ®Google Scholar
• Choi SB. Antilock brake system with a continuous wheel slip control to maximize the braking performance and the ride quality. IEEE Trans Control Syst Technol. 2008;16(5):996–1003. doi: 10.1109/TCST.2007.916308
   Web of Science ®Google Scholar
• William PL, Loria A, Gerard M. Design and experimental validation of a nonlinear wheel slip control algorithm. Automatica. 2012;48(8):1852–1859. doi: 10.1016/j.automatica.2012.05.073
   Web of Science ®Google Scholar
• Castro R, Araújo RE, Tanelli M, Savaresi SM, Freitas D. Torque blending and wheel slip control in EVs with in-wheel motors. Veh Syst Dyn. 2012;50(s1):71–94. doi: 10.1080/00423114.2012.666357
   Web of Science ®Google Scholar
• Daiβ A, Kiencke U. Estimation of vehicle speed fuzzy-estimation in comparison with Kalman-filtering. Proceedings of the 1995 IEEE international conference on control applications; Albany, NY, 1995. p. 281–284.
   Google Scholar
• Kobayashi K, Cheok KC, Watanabe K. Estimation of absolute vehicle speed using fuzzy logic rule-based Kalman filter. Proceedings of the American control conference; Seattle, WA, 1995. p. 3086–3090.
   Google Scholar
• Jiang F, Gao Z. An adaptive nonlinear filter approach to the vehicle velocity estimation for ABS. Proceedings of the IEEE international conference on control applications; Anchorage, AK, 2000. p. 490–494.
   Google Scholar
• Imsland L, Johansen TA, Fossen TI, Grip HF, Kalkkuhl JC, Suissa A. Vehicle velocity estimation using nonlinear observers. Automatica. 2006;42(12):2091–2103. doi: 10.1016/j.automatica.2006.06.025
   Web of Science ®Google Scholar
• Zhao L, Liu Z, Chen H. Design of a nonlinear observer for vehicle velocity estimation and experiments. IEEE Trans Control Syst Technol. 2011;19(3):664–672. doi: 10.1109/TCST.2010.2043104
   Web of Science ®Google Scholar
• Patel N, Edwards C, Spurgeon S. A sliding mode observer for tire friction estimation during braking. Proceedings of the American control conference; Minneapolis, MN, 2006. p. 5867–5872.
   Google Scholar
• Gustaffson F. Slip-based tire-road friction estimation. Automatica. 1997;33(6):1087–1099. doi: 10.1016/S0005-1098(97)00003-4
   Web of Science ®Google Scholar
• Ray LR. Nonlinear state and tire force estimation for advanced vehicle control. IEEE Trans Control Syst Technol. 1999;3(1):117–124. doi: 10.1109/87.370717
   Web of Science ®Google Scholar
• Rajamani R, Phanomchoeng G, Piyabongkarn D, Lew JY. Algorithms for real-time estimation of individual wheel tire-road friction coefficients. IEEE/ASME Trans Mechatron. 2012;17(6):1183–1195. doi: 10.1109/TMECH.2011.2159240
   Web of Science ®Google Scholar
• Yamazaki S, Furukawa O, Suzuki T. Study on real time estimation of tire to road friction. Veh Syst Dyn. 1997;27(s1):225–233.
   Google Scholar
• Faraji M, Majd VJ, Saghafi B, Sojoodi M. An optimal pole-matching observer design for estimating tyre–road friction force. Veh Syst Dyn. 2010;48(10):1155–1166. doi: 10.1080/00423110903362594
   Web of Science ®Google Scholar
• Chen Y, Wang J. Adaptive vehicle speed control with input injections for longitudinal motion independent road frictional condition estimation. IEEE Trans Veh Technol. 2011;60(3):839–848. doi: 10.1109/TVT.2011.2106811
   Web of Science ®Google Scholar
• Habibi M,Yazdizadeh A. A new fuzzy logic road detector for antilock braking system application. Proceedings of the 2010 8th IEEE international conference on control and automation; Xiamen, China, 2010. p. 1036–1041.
   Google Scholar
• Ono E, Asano K, Sugai M, Ito S, Yamamoto M, Sawada M, Yasui Y. Estimation of automotive tire force characteristics using wheel velocity. Control Eng Pract. 2003;11(12):1361–1370. doi: 10.1016/S0967-0661(03)00073-X
   Web of Science ®Google Scholar
• Burckhardt M. Fahrwerktechnik: Radschlupf-regelsysteme. Wrzburg: Vogel Verlag; 1993.
   Google Scholar
• Li L, Wang F, Zhou Q. Integrated longitudinal and lateral tire/road friction modeling and monitoring for vehicle motion control. IEEE Trans Intell Transp Syst. 2006;7(1):1–19.
   Web of Science ®Google Scholar
• Pacejka H. Tyre and vehicle dynamics. Oxford: Butterworth-Heinemann; 2006. p. 156–172.
   Google Scholar
• Best MC. Identifying tyre models directly from vehicle test data using an extended Kalman filter. Veh Syst Dyn. 2010;48(2):171–187.
   Web of Science ®Google Scholar
• Zhang X, Wang F. Influence of the tire dynamic friction property on the vehicle ABS control system. Aut Technol. 2010;12:26–32.
   Google Scholar
• Clover CL, Bernard JE. Longitudinal tire dynamics. Veh Syst Dyn. 1998;29(4):231–260. doi: 10.1080/00423119808969374
   Web of Science ®Google Scholar
• Lin B, Xia Q, He L. Real-time simulation system for hydraulic ABS development. J Tsinghua University (Sci Technol). 2002;42(2):32–37.
   Google Scholar