An Advanced Anti-Slip Control Algorithm for Locomotives Under Complex Friction Conditions
暂无分享,去创建一个
Liang Ling | Kaiyun Wang | Wanming Zhai | Yunfan Yang | Tao Zhang | Liang Ling | W. Zhai | Kaiyun Wang | Tao Zhang | Yunfan Yang
[1] Sebastian Stichel,et al. Prediction of RCF and wear evolution of iron-ore locomotive wheels , 2015 .
[2] Maksym Spiryagin,et al. Real-time multibody modeling and simulation of a scaled bogie test rig , 2020, ArXiv.
[3] Maksym Spiryagin,et al. Review of adhesion estimation approaches for rail vehicles , 2019 .
[4] Wanming Zhai,et al. Fundamentals of vehicle–track coupled dynamics , 2009 .
[5] Paul A. Meehan,et al. Real-time rail–wheel wear damage control , 2016 .
[6] O. Polách. Creep forces in simulations of traction vehicles running on adhesion limit , 2005 .
[7] Xuesong Jin,et al. Numerical analysis on wheel/rail adhesion under mixed contamination of oil and water with surface roughness , 2014 .
[8] Wanming Zhai,et al. Vehicle–Track Coupled Dynamics , 2020 .
[9] Igor Podlubny,et al. Fractional-order systems and PI/sup /spl lambda//D/sup /spl mu//-controllers , 1999 .
[10] E. A. Gallardo-Hernández,et al. Rolling–Sliding Laboratory Tests of Friction Modifiers in Leaf Contaminated Wheel–Rail Contacts , 2008 .
[11] Yongduan Song,et al. A Novel Approach for Active Adhesion Control of High-Speed Trains Under Antiskid Constraints , 2015, IEEE Transactions on Intelligent Transportation Systems.
[12] Abdulkadir Zirek,et al. A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence , 2020 .
[14] Liang Ling,et al. Non-Hertzian contact analysis of heavy-haul locomotive wheel/rail dynamic interactions under changeable friction conditions , 2021, Vehicle System Dynamics.
[15] Massimiliano Pau,et al. Estimation of wheel/rail adhesion coefficient under wet condition with measured boundary friction coefficient and real contact area , 2011 .
[16] Qing Wu,et al. Railway Air Brake Model and Parallel Computing Scheme , 2017 .
[17] G. Stépán,et al. Evaluation of contact force distribution along a curve, based on measured electric potentials , 2020, Acta Mechanica.
[18] Xuesong Jin,et al. Locomotive wheel wear simulation in complex environment of wheel-rail interface , 2019, Wear.
[19] Lijun Diao,et al. Taking Traction Control to Task: High-Adhesion-Point Tracking Based on a Disturbance Observer in Railway Vehicles , 2017, IEEE Industrial Electronics Magazine.
[20] R. Lewis,et al. Full-scale testing of low adhesion effects with small amounts of water in the wheel/rail interface , 2020, Tribology International.
[21] Maksym Spiryagin,et al. Friction condition characterization for rail vehicle advanced braking system , 2019 .
[22] Paul A. Meehan,et al. Investigation of the impact of locomotive creep control on wear under changing contact conditions , 2015 .
[23] Xuesong Jin,et al. A study on high-speed rolling contact between a wheel and a contaminated rail , 2014 .
[24] Lu Bai,et al. Numerical algorithms for Caputo fractional-order differential equations , 2017, Int. J. Control.
[25] Xiao-Wen Zhao,et al. Consensus of fractional-order delayed multi-agent systems in Riemann-Liouville sense , 2020, Neurocomputing.
[26] Kiyoshi Ohishi,et al. Antislip Readhesion Control Based on Speed-Sensorless Vector Control and Disturbance Observer for Electric Commuter Train—Series 205-5000 of the East Japan Railway Company , 2007, IEEE Transactions on Industrial Electronics.
[27] Dingyü Xue,et al. Universal block diagram based modeling and simulation schemes for fractional-order control systems. , 2018, ISA transactions.
[28] W. Zhai,et al. Wear Problems of High-Speed Wheel/Rail Systems: Observations, Causes, and Countermeasures in China , 2020 .
[29] Liang Ling,et al. Nonlinear Stability of Rail Vehicles Traveling on Vibration-Attenuating Slab Tracks , 2020 .
[30] Hong Hee Yoo,et al. Control system for maximum use of adhesive forces of a railway vehicle in a tractive mode , 2008 .
[31] Lijun Diao,et al. Maximum Adhesion Force Control Simulated Model of Electric Locomotive , 2007, 2007 IEEE International Conference on Automation and Logistics.
[32] Qing Wu,et al. A co-simulation approach for heavy haul long distance locomotive-track simulation studies , 2018, Vehicle System Dynamics.