A practical identifier design of road variations for anti-lock brake system

References

• Amodeo M, Ferrara A, Terzaghi R, et al. Wheel slip control via second-order sliding-mode generation. IEEE Trans Intell Transp Syst. 2010;11(1):122–131. doi: 10.1109/TITS.2009.2035438
   Web of Science ®Google Scholar
• Mirzaeinejad H, Mirzaei M. A novel method for non-linear control of wheel slip in anti-lock braking systems. Control Eng Pract. 2010;18(8):918–926. doi: 10.1016/j.conengprac.2010.03.015
   Web of Science ®Google Scholar
• Patra N, Datta K. Sliding mode controller for wheel-slip control of anti-lock braking system. Proceedings of the 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT); 2012 Aug 23–25; Ramanathapuram, India; 2012. p. 385–391.
   Google Scholar
• Pasillas-Lépine W, Loría 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
• Aparow V, Ahmad F, Hudha K, et al. Modelling and PID control of antilock braking system with wheel slip reduction to improve braking performance. Int J Veh Saf. 2013;6(3):265–296. doi: 10.1504/IJVS.2013.055025
   Google Scholar
• Leiber H, Czinczel A. Antiskid system for passenger cars with a digital electronic control unit; 1979. (SAE Technical Paper 790458).
   Google Scholar
• Robert Bosch GmbH. Automotive handbook. Cambridge: Bentley; 2003.
   Google Scholar
• Pasillas-Lépine W. Hybrid modeling and limit cycle analysis for a class of five-phase anti-lock brake algorithms. Veh Syst Dyn. 2006;44(2):173–188. doi: 10.1080/00423110500385873
   Web of Science ®Google Scholar
• Gerard M, Pasillas-Lépine W, De Vries E, et al. Improvements to a five-phase ABS algorithm for experimental validation. Veh Syst Dyn. 2012;50(10):1585–1611. doi: 10.1080/00423114.2012.693188
   Web of Science ®Google Scholar
• Oniz Y, Kayacan E, Kaynak O. A dynamic method to forecast the wheel slip for antilock braking system and its experimental evaluation. IEEE Trans Syst Man Cybern B Cybern. 2009;39(2):551–560. doi: 10.1109/TSMCB.2008.2007966
   PubMed Web of Science ®Google Scholar
• Sardarmehni T, Rahmani H, Menhaj MB. Robust control of wheel slip in anti-lock brake system of automobiles. Nonlinear Dyn. 2014;76(1):125–138. doi: 10.1007/s11071-013-1115-1
   Web of Science ®Google Scholar
• Tuononen A. On-board estimation of dynamic tyre forces from optically measured tyre carcass deflections. Int J Heavy Veh Syst. 2009;16(3):362–378. doi: 10.1504/IJHVS.2009.027139
   Web of Science ®Google Scholar
• Hong S, Erdogan G, Hedrick K, et al. Tyre–road friction coefficient estimation based on tyre sensors and lateral tyre deflection: modelling, simulations and experiments. Veh Syst Dyn. 2013;51(5):627–647. doi: 10.1080/00423114.2012.758859
   Web of Science ®Google Scholar
• Gustafsson F. Slip-based estimation of tire-road friction. Linköping: Linköping University; 1995.
   Google Scholar
• Lee C, Hedrick K, Yi K. Real-time slip-based estimation of maximum tire-road friction coefficient. IEEE/ASME Trans Mechatron. 2004;9(2):454–458. doi: 10.1109/TMECH.2004.828622
   Web of Science ®Google Scholar
• Li L, Song J, Li HZ, et al. Comprehensive prediction method of road friction for vehicle dynamics control. Proc Inst Mech Eng D J Automob Eng. 2009;223(8):987–1002. doi: 10.1243/09544070JAUTO1168
   Web of Science ®Google Scholar
• Li L, Yang K, Jia G, et al. Comprehensive tire–road friction coefficient estimation based on signal fusion method under complex maneuvering operations. Mech Syst Signal Process. 2015;56-57:259–276. doi: 10.1016/j.ymssp.2014.10.006
   Web of Science ®Google Scholar
• Rajamani R, Phanomchoeng G, Piyabongkarn D, et al. 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
• Singh KB, Ali Arat M, Taheri S. An intelligent tire based tire-road friction estimation technique and adaptive wheel slip controller for antilock brake system. J Dyn Syst Meas Control. 2013;135(3):031002. doi: 10.1115/1.4007704
   Web of Science ®Google Scholar
• Singh KB, Taheri S. Estimation of tire–road friction coefficient and its application in chassis control systems. Syst Sci Control Eng. 2015;3(1):39–61. doi: 10.1080/21642583.2014.985804
   Web of Science ®Google Scholar
• Choi M, Oh J, Choi SB. Linearized recursive least squares methods for real-time identification of tire–road friction coefficient. IEEE Trans Veh Technol. 2013;62(7):2906–2918. doi: 10.1109/TVT.2013.2260190
   Web of Science ®Google Scholar
• Zhang X, Xu Y, Pan M, et al. A vehicle ABS adaptive sliding-mode control algorithm based on the vehicle velocity estimation and tyre/road friction coefficient estimations. Veh Syst Dyn. 2014;52(4):475–503. doi: 10.1080/00423114.2013.864775
   Web of Science ®Google Scholar
• Hebden RG, Edwards C, Spurgeon SK. Automotive steering control in a split-µ manoeuvre using an observer-based sliding mode controller. Veh Syst Dyn. 2004;41(3):181–202. doi: 10.1076/vesd.41.3.181.26511
   Web of Science ®Google Scholar
• Aly AA. Intelligent fuzzy controller with road surfaces identifier for antilock brake system. Int J Mechatron Autom. 2011;1(3-4):153–160. doi: 10.1504/IJMA.2011.045247
   Google Scholar
• Wang B, Guan H, Lu P, et al. Road surface condition identification approach based on road characteristic value. J Terramech. 2014;56:103–117. doi: 10.1016/j.jterra.2014.09.001
   Web of Science ®Google Scholar
• Harel D. Statecharts: a visual formalism for complex systems. Sci Comput Program. 1987;8(3):231–274. doi: 10.1016/0167-6423(87)90035-9
   Web of Science ®Google Scholar
• Goebel R, Sanfelice R, Teel A. Hybrid dynamical systems. IEEE Control Syst. 2009;29(2):28–93. doi: 10.1109/MCS.2008.931718
   Web of Science ®Google Scholar
• Ait-Hammouda I, Pasillas-Lépine W. On a class of eleven-phase anti-lock brake algorithms robust with respect to discontinuous transitions of road characteristics. IFAC Proc Vol. 2004;37(21):551–556. doi: 10.1016/S1474-6670(17)30527-X
   Google Scholar
• Colgren R. Basic MATLAB, Simulink and Stateflow. Reston: AIAA (American Institute of Aeronautics & Ast); 2006.
   Google Scholar
• Moore EF. Gedanken-experiments on sequential machines. In Automata studies, annals of mathematical studies. 1956;34:129–153.
   Google Scholar
• Mealy GH. A method for synthesizing sequential circuits. Bell Syst Tech J. 1955;34:1045–1079. doi: 10.1002/j.1538-7305.1955.tb03788.x
   Google Scholar