Abstract
The ability to avoid lane departure has become an important feature for development of driving assistance technology, and the design of lane departure avoidance system (LDAS) which can achieve cooperative control with human driver is still a challenge. This paper presented a new lane departure decision algorithm along with main parameters of the electric power steering (EPS) and electronic stability program (ESP) system’s sensor. During normal situations, steering control based on EPS system was involved to avoid lane departure. However, when the vehicle reached the handling limits, both steering and braking control collaborated together to avoid lane departure based on EPS and ESP systems. Due to the time varying vehicle speed and the uncertainty of tire cornering stiffness, a gain scheduling brake controller was designed based on the energy-to-peak performance indicator, and an upper monitor was designed for activation the braking controller to ensure comfortable ride. Because the relationship between the lane departure degree with a lateral offset in the single- point preview and the driver torque could not be accurately described, a man-machine cooperative control fuzzy observer for the LDAS was designed. In order to accomplish smooth switching for driving mode to ensure ride comfort, a switching criterion was proposed. The proposed method was evaluated via numerical simulation by CarSim/Simulink. A hardware-in-the-loop test platform was set up, and the effectiveness of the proposed control strategy was compared via the driver-in-the-loop experiment. The obtained results show that the proposed man-machine cooperative control strategy not only can return the vehicle to the normal lane effectively, but also realize smooth switching from man-machine cooperative control to driver control.
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References
T. Vaa, M. Penttinen and I. Spyropoulou, Intelligent transport systems and effects on road traffic accidents: State of the art, IET Intelligent Transport Systems, 1 (2) (2007) 81–88.
S. Mammar, S. Glaser and M. Netto, Time to line crossing for lane departure avoidance: A theoretical study and an experimental setting, IEEE Transactions on Intelligent Transportation Systems, 7 (2) (2006) 226–241.
Y. Zhou, R. Xu, X. F. Hu and Q. T. Ye, A lane departure warning system based on virtual lane boundary, Journal of Information Science & Engineering, 24 (1) (2008) 293–305.
N. M. Enache, S. Mammar, M. Netto and B. Lusetti, Driver steering assistance for lane-departure avoidance based on hybrid automata and composite Lyapunov function, IEEE Transactions on Intelligent Transportation Systems, 11 (1) (2010) 28–39.
T. Hong, J. Kwon, K. Park, K. Lee, T. Hwang and T. Chung, Development of a driver’s intention determining algorithm for a steering system based collision avoidance system, SAE Technical Paper, No. 2013-01-0054.
A. Benine-Neto, S. Scalzi, S. Mammar, M. Netto and B. Lusetti, Model reference-based vehicle lateral control for lane departure avoidance, International Journal of Vehicle Autonomous Systems, 12 (3) (2014) 284–306.
H. L. Zhang, Y. G. Luo, Q. Y. Jiang and K. Q. Li, Lane keeping system based on electric power steering system, Automotive Engineering, 35 (6) (2013) 526–531.
P. Bolia, T. Weiskircher and S. Müller, Driver steering model for closed-loop steering function analysis, Vehicle System Dynamics, 52(sup1) (2014) 16–30.
E. J. Rossetter and J. C. Gerdes, Lyapunov based performance guarantees for the potential field lane-keeping assistance system, Journal of Dynamic Systems, Measurement, and Control, 128 (3) (2006) 510–522.
D. Katzourakis, M. Alirezaei, J. C. de Winter, M. Corno, R. Happee, A. Ghaffari and R. Kazemi, Shared control for road departure prevention, 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC), USA (2011) 1037–1043.
M. Doumiati, O. Sename, L. Dugard, J. J. Martinez-Molina, P. Gaspar and Z. Szabo, Integrated vehicle dynamics control via coordination of active front steering and rear braking, European Journal of Control, 19 (2) (2013) 121–143.
T. Pilutti, G. Ulsoy and D. Hrovat, Vehicle steering intervention through differential braking, Proceedings of 1995 American Control Conference-ACC’95, Seatle, WA, USA, 3 (1995) 1667–1671.
Z. Huang, Y. Wu, J. Liu and S. Hu, Research on lane departure avoidance system of high-speed vehicle, Journal of Mechanical Engineering, 49 (22) (2013) 157–163.
J. Lee, J. Choi, K. Yi, M. Shin and B. Ko, Lane-keeping assistance control algorithm using differential braking to prevent unintended lane departures, Control Engineering Practice, 23 (2014) 1–13.
J. Lee and K. Yi, Development of a coordinated strategy of steering torque overlay and differential braking for unintended lane departure avoidance, SAE Technical Paper, No. 2012-01-0281.
M. Mulder, D. A. Abbink and E. R. Boer, The effect of haptic guidance on curve negotiation behavior of young, experienced drivers, IEEE International Conference on Systems, Man and Cybernetics (SMC), Singapore (2008) 804–809.
L. Saleh, P. Chevrel, F. Claveau, J. F. Lafay and F. Mars, Shared steering control between a driver and an automation: Stability in the presence of driver behavior uncertainty, IEEE Transactions on Intelligent Transportation Systems, 14 (2) (2013) 974–983.
C. Sentouh, S. Debernard, J. C. Popieul and F. Vanderhaegen, Toward a shared lateral control between driver and steering assist controller, IFAC Proceedings Volumes, France (2010) 404–409.
B. Soualmi, C. Sentouh, J. C. Popieul and S. Debernard, Automation-driver cooperative driving in presence of undetected obstacles, Control Engineering Practice, 24 (2014) 106–119.
D. Tan, W. Chen, J. Wang, H. Wang and H. Huang, Human-machine sharing and hierarchical control based lane departure assistance system, Journal of Mechanical Engineering, 51 (22) (2015) 98–110.
X. Wang, Q. Wang, Z. Gao and J. Wang, GC coordinated control strategy for lane departure avoidance system based on driver’s lane change intention recognition, Automotive Engineering, 38 (7) (2016) 848–856.
W. Chen, D. Tan, H. Wang, J. Wang and G. Xia, A class of driver directional control model based on trajectory prediction, Journal of Mechanical Engineering, 52 (14) (2016) 89–97.
X. Yang, Z. Wang and W. Peng, Coordinated control of AFS and DYC for vehicle handling and stability based on optimal guaranteed cost theory, Vehicle System Dynamics, 47 (1) (2009) 57–79.
P. Raksincharoensak, M. Nagai and M. Shino, Lane keeping control strategy with direct yaw moment control input by considering dynamics of electric vehicle, Vehicle System Dynamics, 44 (sup1) (2006) 192–201.
H. Zhang, X. Zhang and J. Wang, Robust gain-scheduling energy-to-peak control of vehicle lateral dynamics stabilization, Vehicle System Dynamics, 52 (3) (2014) 309–340.
Acknowledgments
This work was supported by National Natural Science Foundation of China (Grant No. 51405004, 61471004), major science and technology projects in Anhui province (Grant No. 17030901060), Key research and development projects in Anhui province (Grant No. 1804a09020016) and Anhui Provincial Natural Science Foundation (Grant No. 1908085 ME159).
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Xuanyao Wang received the B.Eng. and M.Eng. in mechanical engineering from Anhui University of Science and Technology, Anhui, China, in 2003 and 2006, respectively and the Ph.D. in automotive engineering from Hefei University of Technology, Anhui, China, in 2017. He is currently an Associate Professor with the School of Mechanical Engineering, Anhui University of Science and Technology, Anhui, China. His research interests mainly focus on vehicle system dynamics and control, automotive active safety technology and advanced driving assistance technology. He has authored about 20 publications in journals and conference proceedings.
Yi Cheng received the M.Eng. in mechanical engineering from Anhui University of Science and Technology, Anhui, China, in 2017. He is currently a master degree candidate at the School of Mechanical Engineering, Anhui University of Science and Technology, Anhui, China. His research interests mainly focus on automotive active safety technology and advanced driving assistance technology.
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Wang, X., Cheng, Y. Lane departure avoidance by man-machine cooperative control based on EPS and ESP systems. J Mech Sci Technol 33, 2929–2940 (2019). https://doi.org/10.1007/s12206-019-0540-6
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DOI: https://doi.org/10.1007/s12206-019-0540-6