Abstract
The development of detailed multibody models of railway vehicles is essential to address industrial problems through computational tools. The assessment of vehicle dynamic performance is one of the studies that can be performed with a multibody software. But when tilting trains are considered, which comprise active suspension elements, control engineering theories are required to estimate the forces developed by the actuators. Despite its importance, in general the details about the tilting control algorithm are unknown. In this work, a dedicated control design methodology is proposed to estimate the control algorithm of a tilting system in order to assure a proper vehicle performance. For this purpose, a detailed multibody model of a tilting train is used to perform a batch of simulations in order to develop an accurate linear model of the tilting system and to study its performance in realistic operation conditions. Thus, the traditional control techniques can be used to assess the tilting system dynamics and to design the control algorithm so that proper tilting performance is ensured. The control algorithm and the tilting performance are tested on a curved and tangent track with track irregularities. The comfort indexes PCT and RMS are used here to assess the tilting system.
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References
EN 14363: Railway applications - Testing for the acceptance of running characteristics of railway vehicles - Testing of running behaviour and stationary tests (2005)
ENV 12299:1999: Railway applications. Ride comfort for passengers. Measurement and evaluation (1999)
Ogata, K.: Modern Control Engineering. Prentice Hall PTR, Upper Saddle River (2010)
Iwnicki, S., Dahlberg, T.: Handbook of Railway Vehicle Dynamics, pp. 143–179. CRC (2006). https://doi.org/10.1201/9780849333217
Magalhaes, H., Madeira, J.F.A., Ambrósio, J., Pombo, J.: Railway vehicle performance optimisation using virtual homologation. Veh. Syst. Dyn. 3114, 1–31 (2016). https://doi.org/10.1080/00423114.2016.1196821
Persson, R.: Tilting trains Enhanced benefits and strategies for less motion sickness (2011)
Goodall, R.M., Zolotas, A.C., Evans, J.: Assessment of the performance of tilt system controllers. In: Proceedings of the Railway Technology Conference IMechE, pp. 231–239. Citeseer (2000)
Zhou, N., Lv, Q., Yang, Y., Zhang, W.: <TPL-PCRUN> Statement of methods. Veh. Syst. Dyn. 53, 380–391 (2014). https://doi.org/10.1080/00423114.2014.982136
Zhou, R., Zolotas, A., Goodall, R.: Robust system state estimation for active suspension control in high-speed tilting trains. Veh. Syst. Dyn. 52, 355–369 (2014). https://doi.org/10.1080/00423114.2014.901540
Amirouche, F.M.L.: Fundamentals of multibody dynamics, 680 (2006). https://doi.org/10.1007/b137682
Zolotas, A.C., Goodall, R.M., Halikias, G.D.: Recent results in tilt control design and assessment of high-speed railway vehicles. Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit 221, 291–321 (2007). https://doi.org/10.1243/0954409jrrt43
Hassan, F., Zolotas, A.C., Smith, T.: Optimized Ziegler-Nichols based PID control design for tilt suspensions. J. Eng. Sci. Technol. Rev. 10, 17–24 (2017). https://doi.org/10.25103/jestr.105.02
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Magalhães, H., Antunes, P., Pombo, J., Ambrósio, J. (2020). A Dedicated Control Design Methodology for Improved Tilting Train Performance. In: Klomp, M., Bruzelius, F., Nielsen, J., Hillemyr, A. (eds) Advances in Dynamics of Vehicles on Roads and Tracks. IAVSD 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-38077-9_9
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DOI: https://doi.org/10.1007/978-3-030-38077-9_9
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