A vehicle stability control strategy with adaptive neural network sliding mode theory based on system uncertainty approximation

References

• Di Cairano S, Tseng HE, Bernardini D, et al. Vehicle yaw stability control by coordinated active front steering and differential braking in the tire sideslip angles domain. IEEE Trans Control Syst Technol. 2013;21(4):1236–1248. doi: 10.1109/TCST.2012.2198886
   Web of Science ®Google Scholar
• Goodarzi A, Naghibian M, Choodan D, et al. Vehicle dynamics control by using a three-dimensional stabilizer pendulum system. Veh Syst Dyn. 2016;54(12):1671–1687. doi: 10.1080/00423114.2016.1228987
   Web of Science ®Google Scholar
• Li L, Jia G, Chen J, et al. A novel vehicle dynamics stability control algorithm based on the hierarchical strategy with constrain of nonlinear tyre forces. Veh Syst Dyn. 2015;53(8):1093–1116. doi: 10.1080/00423114.2015.1025082
   Web of Science ®Google Scholar
• Rajamani R. Vehicle dynamics and control. New York: Springer Science & Business Media; 2011.
   Google Scholar
• Yi K, Chung T, Kim J, et al. An investigation into differential braking strategies for vehicle stability control. Proc Inst Mech Eng D J Automob Eng. 2003;217(12):1081–1093. doi: 10.1243/09544070360729428
   Web of Science ®Google Scholar
• Barbarisi O, Palmieri G, Scala S, et al. LTV-MPC for yaw rate control and Side slip control with dynamically constrained differential braking. Eur J Control. 2009;15(3–4):468–479. doi: 10.3166/ejc.15.468-479
   Web of Science ®Google Scholar
• Zong C, Zhu T, Wang C, et al. Multi-objective stability control algorithm of heavy tractor semi-trailer based on differential braking. Chin J Mech Eng. 2012;25(1):88–97. doi: 10.3901/CJME.2012.01.088
   Web of Science ®Google Scholar
• Tchamna R, Youn I. Yaw rate and side-slip control considering vehicle longitudinal dynamics. Int J Automot Technol. 2013;14(1):53–60. doi: 10.1007/s12239-013-0007-1
   Web of Science ®Google Scholar
• Li L, Lu Y, Wang R, et al. A 3-dimentional dynamics control framework of vehicle lateral stability and rollover prevention via active braking with MPC. IEEE Trans Ind Electron. 2016;99(6):1–12. doi: 10.1109/TIE.2016.2547359
   Web of Science ®Google Scholar
• He X, Yang K, Ji X, et al. Research on vehicle stability control strategy based on integrated-electro-hydraulic brake system. SAE Technical Paper 2017-01-1565; 2017.
   Google Scholar
• Van der Sande T, Zegelaar P, Besselink I, et al. A robust control analysis for a steer-by-wire vehicle with uncertainty on the tyre forces. Veh Syst Dyn. 2016;54(9):1247–1268. doi: 10.1080/00423114.2016.1197407
   Web of Science ®Google Scholar
• Beal CE, Gerdes JC. Model predictive control for vehicle stabilization at the limits of handling. IEEE Trans Control Syst Technol. 2013;21(4):1258–1269. doi: 10.1109/TCST.2012.2200826
   Web of Science ®Google Scholar
• Ji X, Wu J, Zhao Y, et al. A new robust control method for active front steering considering the intention of the driver. Proc Inst Mech En D J Automob Eng. 2015;229(4):518–531. doi: 10.1177/0954407014547240
   Web of Science ®Google Scholar
• Yang X, Wang Z, Peng W. Coordinated control of AFS and DYC for vehicle handling and stability based on optimal guaranteed cost theory. Veh Syst Dyn. 2009;47(1):57–79. doi: 10.1080/00423110701882264
   Web of Science ®Google Scholar
• Liu W, He H, Sun F, et al. Integrated chassis control for a three-axle electric bus with distributed driving motors and active rear steering system. Veh Syst Dyn. 2017;55(5):601–625. doi: 10.1080/00423114.2016.1267368
   Web of Science ®Google Scholar
• Zhang H, Wang J. Vehicle lateral dynamics control through AFS/DYC and robust gain-scheduling approach. IEEE Trans Veh Technol. 2016;65(1):489–494. doi: 10.1109/TVT.2015.2391184
   Web of Science ®Google Scholar
• Zhang H, Zhang X, Wang J. Robust gain-scheduling energy-to-peak control of vehicle lateral dynamics stabilization. Veh Syst Dyn. 2014;52(3):309–340. doi: 10.1080/00423114.2013.879190
   Web of Science ®Google Scholar
• Jin XJ, Yin G, Chen N. Gain-scheduled robust control for lateral stability of four-wheel-independent-drive electric vehicles via linear parameter-varying technique. Mechatronics. 2015;30:286–296. doi: 10.1016/j.mechatronics.2014.12.008
   Web of Science ®Google Scholar
• Aripin MK, Ghazali R, Sam YM, et al. Uncertainty modelling and high performance robust controller for active front steering control. Paper presented at the 10th Asian Control Conference (ASCC); Kota Kinabalu, Malaysia; 2015. p. 1–6.
   Google Scholar
• He Z, Ji X. Nonlinear robust control of integrated vehicle dynamics. Veh Syst Dyn. 2012;50(2):247–280. doi: 10.1080/00423114.2011.578217
   Web of Science ®Google Scholar
• Li B, Rakheja S, Feng Y. Enhancement of vehicle stability through integration of direct yaw moment and active rear steering. Proc Inst Mech Eng D JAutomob Eng. 2016;230(6):830–840. doi: 10.1177/0954407015596255
   Web of Science ®Google Scholar
• Gibson TE, Crespo LG, Annaswamy AM. Adaptive control of hypersonic vehicles in the presence of modeling uncertainties. 2009 American Control Conference; St. Louis, MO, USA; 2009. p. 3178–3183.
   Google Scholar
• Yao J, Jiao Z, Ma D, et al. High-accuracy tracking control of hydraulic rotary actuators with modeling uncertainties. IEEE/ASME Trans Mechatron. 2014;19(2):633–641. doi: 10.1109/TMECH.2013.2252360
   Web of Science ®Google Scholar
• Rashidi B, Esmaeilpour M, Homaeinezhad MR. Precise angular speed control of permanent magnet DC motors in presence of high modeling uncertainties via sliding mode observer-based model reference adaptive algorithm. Mechatronics. 2015;28:79–95. doi: 10.1016/j.mechatronics.2015.04.009
   Web of Science ®Google Scholar
• Utkin V, Guldner J, Shi J. Sliding mode control in electro-mechanical systems. Boca Raton: CRC Press; 2009.
   Google Scholar
• Azar AT. Advances and applications in sliding mode control systems. Berlin: Springer; 2015.
   Google Scholar
• Sun T, Pei H, Pan Y, et al. Neural network-based sliding mode adaptive control for robot manipulators. Neurocomputing. 2011;74(14/15):2377–2384. doi: 10.1016/j.neucom.2011.03.015
   Web of Science ®Google Scholar
• Hsu CF. Adaptive neural complementary sliding-mode control via functional-linked wavelet neural network. Eng Appl Artif Intell. 2013;26(4):1221–1229. doi: 10.1016/j.engappai.2012.11.012
   Web of Science ®Google Scholar
• Liu YH, Li T, Yang YY, et al. Estimation of tire-road friction coefficient based on combined APF-IEKF and iteration algorithm. Mech Syst Signal Process. 2017;88:25–35. doi: 10.1016/j.ymssp.2016.07.024
   Web of Science ®Google Scholar
• Hashemi E, Khosravani S, Khajepour A, et al. Longitudinal vehicle state estimation using nonlinear and parameter-varying observers. Mechatronics. 2017;43:28–39. doi: 10.1016/j.mechatronics.2017.02.004
   Web of Science ®Google Scholar
• Chen Y, Ji Y, Guo K. A reduced-order nonlinear sliding mode observer for vehicle slip angle and tyre forces. Veh Syst Dyn. 2014;52(12):1716–1728. doi: 10.1080/00423114.2014.960430
   Web of Science ®Google Scholar
• Ma B, Liu Y, Gao Y, et al. Estimation of vehicle sideslip angle based on steering torque. Int J Adv Manuf Technol. 2016:1–9.
   Web of Science ®Google Scholar
• Pacejka HB, Bakker E. The magic formula tyre model. Veh Syst Dyn. 1992;21(S1):1–18. doi: 10.1080/00423119208969994
   Google Scholar
• Doumiati M, Victorino A, Lechner D, et al. Observers for vehicle tyre/road forces estimation: experimental validation. Veh Syst Dyn. 2010;48(11):1345–1378. doi: 10.1080/00423111003615204
   Web of Science ®Google Scholar
• Fei J, Ding H. Adaptive sliding mode control of dynamic system using RBF neural network. Nonlinear Dyn. 2012;70(2):1563–1573. doi: 10.1007/s11071-012-0556-2
   Web of Science ®Google Scholar
• Liu J. Radial basis function (RBF) neural network control for mechanical systems: design, analysis and MATLAB simulation. Beijing: Springer-Verlag Berlin Heidelberg; 2013.
   Google Scholar
• Zhang J, Lv C, Gou J, et al. Cooperative control of regenerative braking and hydraulic braking of an electrified passenger car. Proc Inst Mec Eng D J Automob Eng. 2012;226(10):1289–1302. doi: 10.1177/0954407012441884
   Web of Science ®Google Scholar
• Lv C, Zhang J, Li Y. Extended-Kalman-filter-based regenerative and friction blended braking control for electric vehicle equipped with axle motor considering damping and elastic properties of electric powertrain. Veh Syst Dyn. 2014;52(11):1372–1388. doi: 10.1080/00423114.2014.938663
   Web of Science ®Google Scholar
• Lv C, Zhang J, Li Y, et al. Directional-stability-aware brake blending control synthesis for over-actuated electric vehicles during straight-line deceleration. Mechatronics. 2016;38:121–131. doi: 10.1016/j.mechatronics.2015.12.010
   Web of Science ®Google Scholar
• Yuan L, Zhao H, Chen H, et al. Nonlinear MPC-based slip control for electric vehicles with vehicle safety constraints. Mechatronics. 2016;38:1–15. doi: 10.1016/j.mechatronics.2016.05.006
   Web of Science ®Google Scholar