Abstract
Automatic platooning control of heavy-duty trucks requires accurate vehicle parameters because control performance is significantly affected by the load. We propose new identification methods for the identification of parameters such as vehicle mass and center of gravity using experiments with a real vehicle. The validity of these methods was confirmed with high accuracy comparisons between measured and estimated results.
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Shladover, S.: PATH at 20 - History and major milestones. IEEE Transactions on intelligent transportation systems 8(4), 584–592 (2007)
Ramakers, R., Henning, K., Gies, S., Abel, D., Max, H.: Electronically coupled truck platoons on German highways. IEEE Intern. Conf. Sys. Man Cybern. 2409–2414 (2009)
Fritz, H.: Longitudinal and lateral control of heavy duty trucks for automated vehicle following in mixed traffic: experimental results from the CHAUFFEUR project. Proceedings of the 1999 I.E. International Conference on Control Applications 2, 1348–1352 (1999)
Robinson, T., Chan, E., Coelingh, E.: Operating platoons on public motorways: an introduction to the SARTRE platooning programme. 17th World Congress on Intelligent Transport Systems (2010)
Shladover, S., Desoer, C.: Automatic vehicle control development in the PATH program. IEEE Transactions on vehicular technology 40(1), 114–130 (1991)
Sheikholeslam, S., Charles, A.: Combined longitudinal and lateral control of a platoon of vehicles. Am. Cont. Conf. 1763–1767 (1992)
Sampei, M., Tamura, T., Kobayashi, T., Shibui, N.: Arbitrary path tracking control of articulated vehicles using nonlinear control theory. IEEE Trans. Control Syst. Technol. 3(1), 125–131 (1995)
Piao, J., McDonald, M.: Advanced driver assistance systems from autonomous to cooperative approach. Transp. Rev. 28(5) (2008)
Ioannou, P., Chien, C.: Autonomous intelligent cruise control. IEEE Trans. Veh. Technol. 42(4), 657–672 (1993)
Yanakiv, D., Kanellakopoulos, I.: Speed tracking and vehicle follower control design for heavy-duty vehicles. Veh. Syst. Dyn. 25(4), 251–276 (1996)
Vahidi, A., Stefanopourou, A., Peng, H.: Recursive least squares with forgetting for online estimation of vehicle mass and road grade theory and experiments. Veh. Syst. Dyn. 43(1), 31–55 (2005)
Winstead, V., Kolmanovsky, I.: Estimation of road grade and vehicle mass via model predictive control. Proc. IEEE Conf. Cont. Appl. (2005)
Bae, H., Ryu, J., Gerdes, J.: Road grade and vehicle parameter estimation for longitudinal control using GPS. IEEE Conf. Intell. Transport. Sys. (2001)
Solmaz, S., Akar, M., Shorten, R., Kalkkuhl, J.: Real-time multiple-model estimation of centre of gravity position in automotive vehicles. Veh. Syst. Dyn. 46(9), 763–788 (2008)
Wesemeier, D., Isermann, R.: Identification of vehicle parameters using stationary driving maneuvers. Control. Eng. Pract. 17(12), 1426–1431 (2009)
Massel, T., Ding, E.L., Amdt, M.: Estimation of vehicle loading state. Intern. Conf. Cont. Appl. 1260–1265 (2004)
Acknowledgments
This study, as part of the Development of Energy-saving ITS Technology project, was financially supported by the New Energy and Industrial Technology Development Organization.
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Lee, S., Nakano, K., Aki, M. et al. Parameter Identification of a Vehicle for Automatic Platooning Control. Int. J. ITS Res. 12, 110–117 (2014). https://doi.org/10.1007/s13177-013-0070-z
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DOI: https://doi.org/10.1007/s13177-013-0070-z