Review of adhesion estimation approaches for rail vehicles

Shrestha, Sundar; Wu, Qing; Spiryagin, Maksym

doi:10.1080/23248378.2018.1513344

Cited by 31 publications

(14 citation statements)

References 54 publications

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“…It is essential to utilise the maximum adhesion available to apply the optimum brake effort. However, the adhesion region changes with change in operational and environmental factors [31]. Some of the important factors such as slip, speed, and friction condition are considered.…”

Section: Discussionmentioning

confidence: 99%

Experimental prototyping of the adhesion braking control system design concept for a mechatronic bogie

Shrestha

Spiryagin

2021

Rail. Eng. Science

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The dynamic parameters of a roller rig vary as the adhesion level changes. The change in dynamics parameters needs to be analysed to estimate the adhesion level. One of these parameters is noise emanating from wheel–rail interaction. Most previous wheel–rail noise analysis has been conducted to mitigate those noises. However, in this paper, the noise is analysed to estimate the adhesion condition at the wheel–rail contact interface in combination with the other methodologies applied for this purpose. The adhesion level changes with changes in operational and environmental factors. To accurately estimate the adhesion level, the influence of those factors is included in this study. The testing and verification of the methodology required an accurate test prototype of the roller rig. In general, such testing and verification involve complex experimental works required by the intricate nature of the adhesion process and the integration of the different subsystems (i.e. controller, traction, braking). To this end, a new reduced-scale roller rig is developed to study the adhesion between wheel and rail roller contact. The various stages involved in the development of such a complex mechatronics system are described in this paper. Furthermore, the proposed brake control system was validated using the test rig under various adhesion conditions. The results indicate that the proposed brake controller has achieved a shorter stopping distance as compared to the conventional brake controller, and the brake control algorithm was able to maintain the operational condition even at the abrupt changes in adhesion condition.

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Section: Discussionmentioning

confidence: 99%

Experimental prototyping of the adhesion braking control system design concept for a mechatronic bogie

Shrestha

Spiryagin

2021

Rail. Eng. Science

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“…The presence of a higher level of a sub-system in the test rig increases the accuracy of the test results; however, it also raises the complexity. Most of the test rigs used are single wheel and single wheelset which are simple in design, but there is room for development [6]. Conversely, the complex system such as a full vehicle model delivers better results but may incur complexity in design.…”

Section: Research Topicmentioning

confidence: 99%

Real-time multibody modeling and simulation of a scaled bogie test rig

Shrestha

Spiryagin

2020

Rail. Eng. Science

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In wheel-rail adhesion studies, most of the test rigs used are simplified designs such as a single wheel or wheelset, but the results may not be accurate. Alternatively, representing the complex system by using a full vehicle model provides accurate results but may incur complexity in design. To trade off accuracy over complexity, a bogie model can be the optimum selection. Furthermore, only a real-time model can replicate its physical counterpart in the time domain. Developing such a model requires broad expertise and appropriate software and hardware. A few published works are available which deal with real-time modeling. However, the influence of the control system has not been included in those works. To address these issues, a real-time scaled bogie test rig including the control system is essential. Therefore, a 1:4 scaled bogie roller rig is developed to study the adhesion between wheel and roller contact. To compare the performances obtained from the scaled bogie test rig and to expand the test applications, a numerical simulation model of that scaled bogie test rig is developed using Gensys multibody software. This model is the complete model of the test rig which delivers more precise results. To exactly represent the physical counterpart system in the time domain, a real-time scaled bogie test rig (RT-SBTR) is developed after four consecutive stages. Then, to simulate the RT-SBTR to solve the internal state equations and functions representing the physical counterpart system in equal or less than actual time, the real-time simulation environment is prepared in two stages. To such end, the computational time improved from 4 times slower than real time to 2 times faster than real time. Finally, the real-time scaled bogie model is also incorporated with the braking control system which slightly reduces the computational performances without affecting real-time capability. Keywords Bogie modeling Á Scaled bogie test rig Á Realtime simulation Á Wheel-rail adhesion Á Software in loop

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“…The dynamic performance of the entire rolling stock is controlled by the forces generated between wheel and track [2], therefore the wheel-rail interaction area is a very important part of rolling stock. Adhesion force is the transmitted tangential force between wheel and rail [3,4].…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of Extended Kalman Filter for Parameters Estimation of Railway Wheelset

Mal¹,

Memon²,

Kalwar³

et al. 2023

Computers, Materials &Amp; Continua

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It is necessary to know the status of adhesion conditions between wheel and rail for efficient accelerating and decelerating of railroad vehicle. The proper estimation of adhesion conditions and their real-time implementation is considered a challenge for scholars. In this paper, the development of simulation model of extended Kalman filter (EKF) in MATLAB/Simulink is presented to estimate various railway wheelset parameters in different contact conditions of track. Due to concurrent in nature, the Xilinx ® System-on-Chip Zynq Field Programmable Gate Array (FPGA) device is chosen to check the onboard estimation of wheel-rail interaction parameters by using the National Instruments (NI) myRIO ® development board. The NI myRIO ® development board is flexible to deal with nonlinearities, uncertain changes, and fastchanging dynamics in real-time occurring in wheel-rail contact conditions during vehicle operation. The simulated dataset of the railway nonlinear wheelset model is tested on FPGA-based EKF with different track conditions and with accelerating and decelerating operations of the vehicle. The proposed model-based estimation of railway wheelset parameters is synthesized on FPGA and its simulation is carried out for functional verification on FPGA. The obtained simulation results are aligned with the simulation results obtained through MATLAB. To the best of our knowledge, this is the first time study that presents the implementation of a model-based estimation of railway wheelset parameters on FPGA and its functional verification. The functional behavior of the FPGA-based estimator shows that these results are the addition of current knowledge in the field of the railway.

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Review of adhesion estimation approaches for rail vehicles

Cited by 31 publications

References 54 publications

Experimental prototyping of the adhesion braking control system design concept for a mechatronic bogie

Experimental prototyping of the adhesion braking control system design concept for a mechatronic bogie

Real-time multibody modeling and simulation of a scaled bogie test rig

FPGA Implementation of Extended Kalman Filter for Parameters Estimation of Railway Wheelset

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