Improvement of re-adhesion for commuter trains with vector control traction inverter

Yasuoka, I.; Henmi, T.; Nakazawa, Yosuke; Aoyama, I.

doi:10.1109/pccon.1997.645585

Cited by 19 publications

(14 citation statements)

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“…(7) and (8). There is also another way to calculate the adhesion torque by approaching from the traction motor side, as represented in Eqs.…”

Section: Traction System Dynamics Modelmentioning

confidence: 99%

“…If one of the axles in slip/slide state turns faster or slower than the others, the slipping or sliding axle can be detected and controlled unless all of the axles slip or slide at the same time. A trailer axle solves this kind of problem as well [8]. When a wheelset is accelerated higher than the pre-defined threshold, the reference torque of this wheelset will be decreased distinctly till the adhesion situation is recovered to the micro-slip region.…”

Section: Introductionmentioning

confidence: 99%

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Re-adhesion control strategy based on the optimal slip velocity seeking method

2018

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In the railway industry, re-adhesion control plays an important role in attenuating the slip occurrence due to the low adhesion condition in the wheel-rail interaction. Braking and traction forces depend on the normal force and adhesion coefficient at the wheel-rail contact area. Due to the restrictions on controlling normal force, the only way to increase the tractive or braking effect is to maximize the adhesion coefficient. Through efficient utilization of adhesion, it is also possible to avoid wheel-rail wear and minimize the energy consumption. The adhesion between wheel and rail is a highly nonlinear function of many parameters like environmental conditions, railway vehicle speed and slip velocity. To estimate these unknown parameters accurately is a very hard and competitive challenge. The robust adaptive control strategy presented in this paper is not only able to suppress the wheel slip in time, but also maximize the adhesion utilization performance after re-adhesion process even if the wheel-rail contact mechanism exhibits significant adhesion uncertainties and/or nonlinearities. Using an optimal slip velocity seeking algorithm, the proposed strategy provides a satisfactory slip velocity tracking ability, which was demonstrated able to realize the desired slip velocity without experiencing any instability problem. The control torque of the traction motor was regulated continuously to drive the railway vehicle in the neighborhood of the optimal adhesion point and guarantee the best traction capacity after re-adhesion process by making the railway vehicle operate away from the unstable region. The results obtained from the adaptive approach based on the secondorder sliding mode observer have been confirmed through theoretical analysis and numerical simulation conducted in MATLAB and Simulink with a full traction model under various wheel-rail conditions.

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“…(7) and (8). There is also another way to calculate the adhesion torque by approaching from the traction motor side, as represented in Eqs.…”

Section: Traction System Dynamics Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Re-adhesion control strategy based on the optimal slip velocity seeking method

2018

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“…This phenomenon occurs more commonly when the wheel-rail surfaces are wet or contaminated with oil or leaves, as the friction coefficient may drop to very low levels. 4 To avoid this issue, re-adhesion control strategy has been studied and many different algorithms have been proposed [1][2][3][4][5][6][7][8][9]. In these algorithms, the vector control method is most commonly adopted, while the major differences lie in the way of detecting creepage and generating the torque command.…”

Section: Introductionmentioning

confidence: 99%

“…Yasuoka et al [1] presented a method in which slip is detected by comparing the speed difference between the wheel and the vehicle body (estimated by averaging the speed of all its axles).Then a torque compensation signal is generated using the estimated slip. Kim et al [2] suggested a model based re-adhesion control which treats the creep force as the mechanical load of the traction motor and the creepage force is estimated by a Kalman filter.…”

Section: Introductionmentioning

confidence: 99%

Re-adhesion control for a railway single wheelset test rig based on the behaviour of the traction motor

Zhao

Liang

2013

Vehicle System Dynamics

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“…Yasuoka et al proposed a slip control method [55] which also takes into account bogie oscillation suppression. This control method consists of creep control, estimated traction force control, oscillation suppression control and all wheel slip suppression control.…”

Section: Slip Control With Bogie Oscillation Suppressionmentioning

confidence: 99%

Locomotive traction and rail wear control

Tian¹

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Railways play one of the most important roles in today's transport systems throughout the world due to their safety, relatively high traction capacity and low operation and maintenance cost [1].With the development of electric drive and power electronics technology, the capacity and efficiency of railway transport has been improved dramatically, giving birth to higher speed passenger trains and higher capacity heavy haul trains. In Australia, the development of the mineral resources industry drives further improvement of railway operational efficiency without bringing excessive burden to infrastructural maintenance. The purpose of this thesis is to provide the required modelling and simulation to determine appropriate tractional system conditions and controllers to achieve this.The first part of this thesis is focused on building a locomotive mathematical model including all the essential dynamic components and interactions to provide prediction of locomotive dynamic response. The overall model consists of locomotive dynamics, wheel/rail contact dynamics and electrical drive and control dynamics. The locomotive dynamics include longitudinal, vertical and pitch motions of the locomotive body, front and rear bogies and six axles. For the wheel/rail contact dynamics, the Polach model is used to obtain the amount of tractive force generated due to wheel/rail interaction on the contact patch. The simplified electric drive dynamics are designed according to the traction effort curves provided by industry using constant torque and constant power regions. Modes of oscillations have been identified by eigenmode analysis and show that all the vertical and pitch modes of the locomotive dynamics are stable. The modes that are most likely to contribute to dynamic behaviour are identified and it is shown that the locomotive body pitch mode is most excited by traction perturbations. The locomotive dynamic behaviour under changes in contact conditions is also examined.The second part of this thesis is focused on achieving higher tractive force under different operating speed and wheel/rail contact conditions. The dynamic impact of a new control strategy is compared with that of a traditional fixed threshold creep/adhesion control strategy. A fuzzy logic based control strategy is employed to adjust the torque output of the motors according to the operating condition of the locomotive to achieve higher tractive force than that with the traditional constant creep control strategy. Simulation results show that by controlling the torque generated by the electric drives, tractive force can be maximized. However, the benefit in the tractive force increase is marginal under low speed operation at the cost of higher creep values. Under high speed operation, due to the impact of the electric drive traction effort characteristics, the dynamic responses with both control strategies are mostly identical. 2The last part of this thesis is focused on specialized real-time traction control that regulates the wear to low levels, which is...

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Improvement of re-adhesion for commuter trains with vector control traction inverter

Cited by 19 publications

References 1 publication

Re-adhesion control strategy based on the optimal slip velocity seeking method

Re-adhesion control strategy based on the optimal slip velocity seeking method

Re-adhesion control for a railway single wheelset test rig based on the behaviour of the traction motor

Locomotive traction and rail wear control

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