Abstract
This study examines roll stability control for vehicles with an active roll-resistant electro-hydraulic suspension (RREHS) subsystem under steering maneuvers. First, we derive a vehicle model with four degrees of freedom and incorporates yaw and roll motions. Second, an optimal linear quadratic regulator controller is obtained in consideration of dynamic vehicle performance. Third, an RREHS subsystem with an electric servo-valve actuator is proposed, and the corresponding dynamic equations are obtained. Fourth, field experiments are conducted to validate the performance of the vehicle model under sine-wave and double-lane-change steering maneuvers. Finally, the effectiveness of the active RREHS is determined by examining vehicle responses under sine-wave and double-lane-change maneuvers. The enhancement in vehicle roll stability through the RREHS subsystem is also verified.
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Boada B L, Boada M J L, Vargas-Melendez L, et al. A robust observer based on H∞ filtering with parameter uncertainties combined with neural networks for estimation of vehicle roll angle. Mechanical Systems and Signal Processing. 2018, 99: 611–623
Dahmani H, Pages O, El Hajjaji A, et al. Observer-based robust control of vehicle dynamics for rollover mitigation in critical situations. IEEE Transactions on Intelligent Transportation Systems. 2014, 15(1): 274–284
Yoon J, Cho W, Kang J, et al. Design and evaluation of a unified chassis control system for rollover prevention and vehicle stability improvement on a virtual test track. Control Engineering Practice. 2010, 18(6): 585–597
Rajamani R, Piyabongkarn D. New paradigms for the integration of yaw stability and rollover prevention functions in vehicle stability control. IEEE Transactions on Intelligent Transportation Systems. 2013, 14(1): 249–261
Lua C, Castillo-Toledo B, Cespi R, et al. Nonlinear observer-based active control of ground vehicles with non negligible roll dynamics. International Journal of Control, Automation, and Systems. 2016, 14(3): 743–752
Jin Z, Zhang L, Zhang J, et al. Stability and optimised H∞ control of tripped and untripped vehicle rollover. Vehicle System Dynamics. 2016, 54(10): 1405–1427
Yang Y, Ren W, Chen L, et al. Study on ride comfort of tractor with tandem suspension based on multi-body system dynamics. Applied Mathematical Modelling. 2009, 33(1): 11–33
Sancibrian R, Garcia P, Viadero F, et al. Kinematic design of double-wishbone suspension systems using a multiobjective optimisation approach. Vehicle System Dynamics. 2010, 48(7): 793–813
Mahmoodi-Kaleibar M, Javanshir I, Asadi K, et al. Optimization of suspension system of off-road vehicle for vehicle performance improvement. Journal of Central South University of Technology. 2013, 20(4): 902–910
Pang H, Liu F, Liu X. Enhanced variable-universe fuzzy control for vehicle semi-active suspension systems. Journal of Intelligent & Fuzzy Systems. 2016, 31(6): 2999–3006
Cheng M X, Jiao X H. Observer-based adaptive L2 disturbance attenuation control of semi-active suspension with MR damper. Asian Journal of Control. 2017, 19(1): 346–355
Tang X, Du H, Sun S, et al. Takagi-Sugeno fuzzy control for semiactive vehicle suspension with a magnetorheological damper and experimental validation. IEEE/ASME Transactions on Mechatronics. 2017, 22(1): 291–300
Gáspár P, Szabó Z, Szederkényi G, et al. Design of a two-level controller for an active suspension system. Asian Journal of Control. 2012, 14(3): 664–678
Li H, Liu H, Hilton C, et al. Non-fragile H∞ control for half-vehicle active suspension systems with actuator uncertainties. Journal of Vibration and Control. 2013, 19(4): 560–575
Bououden S, Chadli M, Karimi H R. A robust predictive control design for nonlinear active suspension systems. Asian Journal of Control. 2016, 18(1): 122–132
Wang G, Chen C, Yu S. Optimization and static output-feedback control for half-car active suspensions with constrained information. Journal of Sound and Vibration. 2016, 378: 1–13
Oustaloup A, Moreau X, Nouillant M. The CRONE suspension. Control Engineering Practice. 1996, 4(8): 1101–1108
Quaglia G, Sorli M. Air suspension dimensionless analysis and design procedure. Vehicle System Dynamics. 2001, 35(6): 443–475
Ahmadian M, Simon D E. An analytical and experimental evaluation of magneto rheological suspensions for heavy trucks. Vehicle System Dynamics. 2002, 37(sup1): 38–49
Kang J, Yoo J, Yi K. Driving control algorithm for maneuverability, lateral stability, and rollover prevention of 4WD electric vehicles with independently driven front and rear wheels. IEEE Transactions on Vehicular Technology. 2011, 60(7): 2987–3001
Du H, Zhang N. Fuzzy control for nonlinear uncertain electrohydraulic active suspensions with input constraint. IEEE Transactions on Fuzzy Systems. 2009, 17(2): 343–356
Choi H D, Lee C J, Lim MT. Fuzzy preview control for half-vehicle electro-hydraulic suspension system. International Journal of Control, Automation, and Systems. 2018, 16(5): 2489–2500
Sun W, Gao H, Yao B. Adaptive robust vibration control of full-car active suspensions with electrohydraulic actuators. IEEE Transactions on Control Systems Technology. 2013, 21(6): 2417–2422
Kim H J. Robust roll motion control of a vehicle using integrated control strategy. Control Engineering Practice. 2011, 19(8): 820–827
Yim S. Design of a preview controller for vehicle rollover prevention. IEEE Transactions on Vehicular Technology. 2011, 60(9): 4217–4226
Huang H H, Yedavalli R K, Guenther D A. Active roll control for rollover prevention of heavy articulated vehicles with multiple-rollover-index minimization. Vehicle System Dynamics. 2012, 50(3): 471–493
Imine H, Fridman L M, Madani T. Steering control for rollover avoidance of heavy vehicles. IEEE Transactions on Vehicular Technology. 2012, 61(8): 3499–3509
Dal Poggetto V F, Serpa A L. Vehicle rollover avoidance by application of gain-scheduled LQR controllers using state observers. Vehicle System Dynamics. 2016, 54(2): 191–209
Sun H, Chen Y H, Zhao H. Adaptive robust control methodology for active roll control system with uncertainty. Nonlinear Dynamics. 2018, 92(2): 359–371
Pourasad Y, Mahmoodi-K M, Oveisi M. Design of an optimal active stabilizer mechanism for enhancing vehicle rolling resistance. Journal of Central South University. 2016, 23(5): 1142–1151
Marzbanrad J, Soleimani G, Mahmoodi-K M, et al. Development of fuzzy anti-roll bar controller for improving vehicle stability. Journal of Vibroengineering. 2015, 17(7): 3856–3864
Kawamoto Y, Suda Y, Inoue H, et al. Electro-mechanical suspension system considering energy consumption and vehicle manoeuvre. Vehicle System Dynamics. 2008, 46(sup1): 1053–1063
Yim S, Jeon K, Yi K. An investigation into vehicle rollover prevention by coordinated control of active anti-roll bar and electronic stability program. International Journal of Control, Automation, and Systems. 2012, 10(2): 275–287
Wang L, Todaria P, Pandey A, et al. An electromagnetic speed bump energy harvester and its interactions with vehicles. IEEE/ASME Transactions on Mechatronics. 2016, 21(4): 1985–1994
Jin X, Yin G. Estimation of lateral tire-road forces and sideslip angle for electric vehicles using interacting multiple model filter approach. Journal of the Franklin Institute-Engineering and Applied Mathematics. 2015, 352(2): 686–707
Mashadi B, Mahmoodi-K M, Kakaee A H, et al. Vehicle path following control in the presence of driver inputs. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics. 2013, 227(2): 115–132
Vu V T, Sename O, Dugard L, et al. Enhancing roll stability of heavy vehicle by LQR active anti-roll bar control using electronic servo-valve hydraulic actuators. Vehicle System Dynamics. 2017, 55(9): 1405–1429
Ding W, Deng H, Xia Y, et al. Tracking control of electro-hydraulic servo multi-closed-chain mechanisms with the use of an approximate nonlinear internal model. Control Engineering Practice. 2017, 58: 225–241
Rath J J, Defoort M, Veluvolu K C. Rollover index estimation in the presence of sensor faults, unknown inputs, and uncertainties. IEEE Transactions on Intelligent Transportation Systems. 2016, 17(10): 2949–2959
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 5187051675) and the Natural Science Foundation of Hunan Province (Grant No. 2017JJ2031).
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Xiao, L., Wang, M., Zhang, B. et al. Vehicle roll stability control with active roll-resistant electro-hydraulic suspension. Front. Mech. Eng. 15, 43–54 (2020). https://doi.org/10.1007/s11465-019-0547-9
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DOI: https://doi.org/10.1007/s11465-019-0547-9