Heavy vehicle suspension parameters identification and estimation of vertical forces: experimental results

References

• Ackermann, J., & Odenthal, D. (1999, August–September). Damping of vehicle roll dynamics by speed-scheduled active steering. In Proceeding of the European Control Conference. Karlsruhe.
   Google Scholar
• Ahrens, J.H., & Khalil, H.K. (2009). High-gain observers in the presence of measurement noise: A switched-gain approach. Automatica, 45(4), 936–943.
   Web of Science ®Google Scholar
• Davila, J., Fridman, L., & Levant, A. (2005). Second order sliding mode observer for mechanical systems. IEEE Transaction on Automatic Control, 50(11), 1785–1789.
   Web of Science ®Google Scholar
• Davila, J., Fridman, L., & Poznyak, A. (2006). Observation and identification of mechanical systems via second order sliding modes. International Journal of Control, 79(10), 1251–1262.
   Web of Science ®Google Scholar
• Davila, A., Moreno, J., & Fridman, L. (2009, December). Optimal Lyapunov function selection for reaching time estimation of super twisting algorithm. In 48th IEEE Conference on Decision and Control (pp. 8405–8410). Shanghai: IEEE.
   Google Scholar
• Davila, A., Moreno, J., & Fridman, L. (2011, June–July). Variable gains super-twisting algorithm: A Lyapunov based design. In IEEE American Control Conference (pp. 968–973). San Francisco, CA: IEEE.
   Google Scholar
• Delanne, Y., Schmitt, V., & Dolcemascolo, V. (2003). Heavy truck rollover simulation. In 18th International Conference on the Enhanced Safety of Vehicles (pp. 1233–1237), Nagoya.
   Google Scholar
• Floret-Pontet, F., & Lamnabhi-Lagarrigue, F. (2001). Parameter identification methodology using sliding mode observers. International Journal of Control, 74(18), 1743–1753.
   Web of Science ®Google Scholar
• Fridman, L. (1999). The problem of chattering: An averaging approach, In K.D. Young and U. Ozguner (Eds.), Variable structure, sliding mode and nonlinear control, number 247 in lecture notes in control and information science (pp. 363–386). London: Springer Verlag.
   Google Scholar
• Fridman, L., Levant, A., & Davila, J. (2006). High-order sliding mode observation and identification for linear systems with unknown inputs. In 45th Conference on Decision in Control (pp. 5567–5572). San Diego, CA: IEEE.
   Google Scholar
• Gáspár, P., Szabó, Z., & Bokor, J. (2006, June). Side force coefficient estimation for the design of active brake control. In Proceedings of the 2006 American Control Conference (pp. 2927–2932). Minneapolis, MN: IEEE.
   Google Scholar
• Hessler, J. (2012). Wheel force transducer. Detroit, MI: SAE International.
   Google Scholar
• Ibrahim, I.M. (2004) Design of reducing the generated dynamic tyre loads of the articulated tanker vehicles. Heavy Vehicle Systems, International Journal of Vehicle Design, 11(1), 86–99.
   Web of Science ®Google Scholar
• Imine, H., Delanne, Y., & M’Sirdi, N.K. (2005, November). Road profiles inputs to evaluate loads on the wheels. International Journal of Vehicle System Dynamics, 43, 359–369, Supplement.
   Web of Science ®Google Scholar
• Imine, H., Delanne, Y., & M'Sirdi, N.K. (2006). Road profiles inputs estimation in vehicle dynamics simulation, IAVSD. International Journal of Vehicle System Dynamics, 44(4), 285–303.
   Google Scholar
• Imine, H., & Fridman, L. (2008). Road profile estimation in heavy vehicle dynamics simulation. IJVD, International Journal of Vehicle Design, 47(1/2/3/4), 234–249.
   Web of Science ®Google Scholar
• Imine, H., Fridman, L., & Madani, T. (2012). Steering control for rollover avoidance of heavy vehicle. IEEE Transactions on Vehicular Technology, 61(8), 3499–3509.
   Web of Science ®Google Scholar
• Imine, H., Srairi, S., & Madani, T. (2008, April). Experimental validation of rollover risk prediction of heavy vehicles. TRA’08, Transport Research Arena (pp. 21–25). Ljubljana.
   Google Scholar
• Khemoudj, O., Imine, H., & Djemai, M. (2010). Robust observation of tractor-trailer vertical forces using model inverse and numerical differentiation. International Journal of Materials and Manufacturing, 3(1), 278–289.
   Google Scholar
• Khemoudj, O., Imine, H., Djemai, M., & Fridman, L. (2010, June) Variable gain sliding mode observer for heavy duty vehicle contact forces. In IEEE Variable Structure Systems Conference, VSS 26–280. Mexico: IEEE.
   Google Scholar
• Kolmogorov, A.N. (1962). On inequalities between upper bounds of consecutive derivatives of an arbitrary function defined on an infinite interval. American Mathematical Society Translations, 2(9), 233–242.
   Google Scholar
• Levant, A. (1993). Sliding order and sliding accuracy in sliding mode control. International Journal of Control, 58(6), 1247–1263.
   Web of Science ®Google Scholar
• Misun, M. (1990). Simulation of the interaction between vehicle wheel and the unevenness of the road surface. Vehicle System Dynamics, 19, 237–253.
   Web of Science ®Google Scholar
• Moreno, J.A. (2011). Lyapunov approach for analysis and design of second order sliding mode algorithms. Vol. 412 of Lecture Notes in Control and Information Sciences (LNCIS). In L. Fridman, J. Moreno, and R. Iriarte, (Eds.). Sliding modes after the first decade of the 21st century (pp. 113–150). Berlin: Springer-Verlag.
   Google Scholar
• Pacejka, H.B. (1996). The tire as a vehicle component. In Proceeding of the 26th FISITA Congress (pp. 16–23). Prague.
   Google Scholar
• Soderstrom, T., & Stoica, P. (1989). System identification. Cambridge: Prentice Hall International.
   Google Scholar
• Utkin, V.I. (1992). Sliding modes in control and optimization. Berlin: Springer.
   Google Scholar
• Utkin, V.I., & Drakunov, S. (1995). Sliding mode observer. In IEEE Conference on Decision and Control (pp. 3376–3378). Orlando, FL: IEEE.
   Google Scholar
• Vasiljevic, L.K., & Khalil, H.K. (2008). Error bounds in differentiation of noisy signals by high-gain observers. Systems & Control Letters, 57(1), 856–862.
   Web of Science ®Google Scholar