Nonlinear Filter-Based Estimation of Wheel-Rail Contact Forces and Related ‎Considerations using Inertial Measurment Unit

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 41

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شناسه ملی سند علمی:

JR_JECEI-13-2_009

تاریخ نمایه سازی: 19 تیر 1404

چکیده مقاله:

rail vehicle dynamics are greatly impacted by the different forces present at the ‎contact region of wheel and rail. Since the wheel and rail adhesion force is the key ‎element in maintaining high braking and acceleration performance of rail vehicles, ‎continuous monitoring of this factor is very important. Damage to the infrastructures ‎and lack of transportation convenience are the most obvious consequences of ‎improper levels of adhesion force. Adhesion modeling is a time consuming task. In ‎addition, due to the difficulties exist in directly measuring the adhesion force, the use ‎of alternative methods in which state observers are adopted has attracted much ‎attention. The selection of the primary model of the studied system and the ability of ‎the selected estimator have a significant effect on the success of the proposed ‎approach in estimating the variables. ‎In this paper, the dynamics of the wheelset is simulated in the presence of ‎irregularities that can be encountered in the railroad. Estimation of wheel-rail adhesion ‎force is done indirectly by nonlinear filters as estimators and their accuracies in the ‎estimation are compared to identify the better one. Meanwhile, inertial sensors ‎‎(accelerometer and gyroscope) outputs are used as measuring matrix and employed to ‎simulate actual situation and evaluate the estimators performances. To check the ‎accuracy and ability of the estimators in estimating states and variables, the proposed ‎approache implemented in Matlab.‎This study introduces an advantageous approach that uses the longitudinal, lateral and ‎torsional dynamics to estimate wheel-rail adhesion force in variable conditions. ‎Experimental results showed high precision, fast convergence, and low error values in ‎variable estimation. ‎Real time knowledge of the contact condition results in proper traction and braking ‎performances. The results of proposed method can lead to decreasing wheel ‎deterioration and operational costs, minimizing high creep levels, maximizing the use ‎of already-existing adhesion, and mproving the frequency of service. It is worth noting ‎that the proposed method is beneficial for both conventional railway transport and ‎automated driverless trains.‎

نویسندگان

M. Moradi

Faculty of Electrical Engineering and Computer, University of Birjand, Birjand, Iran.

R. Havangi

Faculty of Electrical Engineering and Computer, University of Birjand, Birjand, Iran.

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  • E. E. Magel, “A survey of wheel/rail friction,” (No. DOT/FRA/ORD ...
  • U. Olofsson, “۱۷ Adhesion and friction modification,” in Wheel–Rail Interface ...
  • Z. Yuan, M. Wu, C. Tian, J. Zhou, “A review on the ...
  • Z. Shi, K. Wang, L. Guo, Z. Chen, “Effect of ...
  • L. Buckley-Johnstone, G. Trummer, P. Voltr, K. Six, R. Lewis “Full scale testing of low adhesion effects with small ...
  • R. Lewis, G. Trummer, K. Six, J. Stow et al., ...
  • H. Chen, “Wheel slip/slide and low adhesion caused by fallen ...
  • J. Zhou, M. Wu, C. Tian, Z. Yuan, C. Chen, ...
  • K. Zhao, P. Li, Ch. Zhang, J. He, Y. Li, ...
  • R. Bibi, B. S. Chowdry, R. A. Shah, “PSO based ...
  • K. Ishizaka, B. White, M. Watson, S. R. Lewis, R. ...
  • S. Shrestha, Q. Wu, M. Spiryagin, “Review of adhesion estimation ...
  • X. Fang, S. Lin, Z. Yang, F. Lin, H. Sun, ...
  • B. Liu, T.X. Mei, S. Bruni, “Design and optimisation of ...
  • Y. Chen, H. Dong, J. Lu, X. Sun, L. Guo, ...
  • M. Yamashita, T. Soeda, “Anti-slip re-adhesion control method for increasing ...
  • P. D. Hubbard, C. Ward, R. Dixon, R. Goodall, “Verification ...
  • C. P. Ward, R. M. Goodall, R. Dixon, G. A. ...
  • S. Strano, M. Terzo, “On the real-time estimation of the ...
  • Y. Zhao, B. Liang, “Re-adhesion control for a railway single ...
  • S. Wang, J. Xiao, J. Huang, H. Sheng, “Locomotive wheel ...
  • P. Pichlik, J. Zdenek, “Extended Kalman filter utilization for a ...
  • S. Strano, M. Terzo, “On the real-time estimation of the ...
  • S. J. Julier, J. K. Uhlmann, “Unscented filtering and nonlinear ...
  • S. J. Julier, J. K. Uhlmann, H. F. Durrant-Whyte, “A ...
  • Y. Zhao, B. Liang, S. Iwnicki, “Friction coefficient estimation using ...
  • T. Gajdar, I. Rudas, Y. Suda, “Neural network based estimation ...
  • A. Shebani, S. Iwnicki, “Prediction of wheel and rail wear under different ...
  • S. Z. Meymand, A. Keylin, M. Ahmadian, “A survey of ...
  • J. Belanger, P. Venne, J. N. Paquin, “The what, where ...
  • O. Polach, "Creep forces in simulations of traction vehicles running ...
  • G. Charles, R. Goodall, R. Dixon, "Model-based condition monitoring at ...
  • نمایش کامل مراجع