Dynamic simulation of wheel-rail interaction for locomotive traction studies

Senini, Steven; Flinders, F.; Oghanna, W.

doi:10.1109/rrcon.1993.292967

Cited by 26 publications

(15 citation statements)

References 2 publications

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“…Simpler models typically describe only the torque transfer from a motor to a wheelset and the adhesion force transfer between wheels and rails. The simplest model describes locomotive as a torque source and one wheel [10]. The common feature of the models is torque transmission to the wheel with respecting damping and stiffness of elements that are between motor and wheels.…”

Section: Locomotive Modelmentioning

confidence: 99%

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Adhesion Force Detection Method Based on the Kalman Filter for Slip Control Purpose

Pichlík

Zděnek

2016

Automatika

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Original scientific paperThe slip control is important for an adhesion force transmission between locomotive wheels and rails. The slip control consists of two tasks. The first task is the slip value detection and the second one is the evaluation of a slip value with a subsequent control action. These two tasks can be realized by many types of methods. Several detection methods use an adhesion coefficient or the adhesion force determination. Because of difficulty of the adhesion coefficient measurement during the train run the adhesion coefficient or the adhesion force has to be estimated. In this paper, the adhesion force is estimated by the Kalman filter. The Kalman filter uses the locomotive model and measured locomotive velocity. The Kalman filter is implemented in Matlab and also applied on measured data.Key words: adhesion, Kalman filter, locomotive mathematical model, slip control Detekcija adhezijske sile korištenjem Kalmanovog filtra u svrhe upravljanja proklizavanjam. Upravljanje proklizavanjem bitno je zbog prijenosa adhezijske sile izmeu kotača i tračnica na lokomotivi. Upravljanje proklizavanje sastoji se od dva zadatka. Prvi je odreivanje iznosa proklizavanja a drugi se sastoji od evaluacija iznosa proklizavanja kroz upravljačke akcije. Navedeni zadaci mogu biti ostvareni koristeći više metoda. Nekoliko metoda se koristi za odreivanje adhezijskih koeficijenata ili za odreivanje adhezijske sile. Zbog poteškoća prilikom mjerenja adhezijskih koeficijenata ili adhezijske sile tijekom rada vlaka, te veličine je potrebno estimirati. U ovome radu adhezijska sila estimirana je korištenjem kalmanovog filtra koji koristi model lokomotive i mjerenja brzine lokomotive. Filtar je implementiran u Matlabu te je korišten na izmjerenim podacima.

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Section: Locomotive Modelmentioning

confidence: 99%

“…If the model is intended for the verification of slip controller properties or performance it contains an adhesion characteristic calculation [10]. When the models are intended for e.g.…”

Section: Locomotive Modelmentioning

confidence: 99%

Adhesion Force Detection Method Based on the Kalman Filter for Slip Control Purpose

Pichlík

Zděnek

2016

Automatika

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“…x c locomotive body longitudinal displacement z c locomotive body vertical displacement θ c locomotive body pitch angle x b1, 2 locomotive front/rear bogie longitudinal displacement z b1, 2 locomotive front/rear bogie vertical displacement θ b1, 2 locomotive front/rear bogie pitch displacement z w1−6 wheelset 1-6 vertical displacement θ w1−6 wheelset 1-6 rotation angle M c M b M w mass of locomotive body, bogie and axle I c I b I w moment of inertia of locomotive body, bogie and axle along the pitch direction Q wheel load μ friction coefficient ε gradient of the tangential stress in the area of adhesion k A , k s reduction factor in the area of adhesion, reduction factor in the area of slip μ ∞ friction coefficient at infinity slip velocity half-axes of the contact ellipse c 11 coefficient from Kalker's linear theory F, G tractive force, Shear modulus T ti torque generated by electric drive i = 1-6 T li torque acting on axle i = 1-6 generated by the longitudinal contact force…”

Section: Nomenclaturementioning

confidence: 99%

“…[1] Senini et al have also performed locomotive traction simulation at the electric drive level. [2] These works, however, are not focused on the effect of transient of the contact conditions and different controller settings on the rail wear; especially for a full-scale locomotive case. Modern development of mechatronics systems has improved rail vehicle operation under various conditions.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the impact of locomotive creep control on wear under changing contact conditions

Tian

Liu

Daniel

et al. 2015

Vehicle System Dynamics

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This paper presents the locomotive traction controller performance with respect to the track wear under different operation conditions. In particular, an investigation into the dynamic response of a locomotive under changing wheel-rail friction conditions is performed with an aim to determine the effect of controller setting on track wear. Simulation using a full-scale longitudinal-vertical locomotive dynamic model shows that the appropriately designed creep threshold, controller, settings can effectively maintain a high tractive effort while avoiding excessive rail damage due to wear, especially during acceleration under low speed.

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“…Therefore, in upgrading accelerating / decelerating capacity, making the vehicle run faster, it is necessary to have a method to control slip rapidly, and to use the maximum adhesive effort which is the limiting value in changing abrasive force to tractive force as well as to upgrade propulsion control system. [1][2] This paper is a study on propulsion control system of railway vehicle to reduce slip on traction motor. The new system can control tractive force more stably than existing re-adhesion control system, and it can also stably control system disturbance.…”

Section: Introductionmentioning

confidence: 99%

A Design of Prototype 1C2M Railway Vehicle Propulsion Control System Considering Slip Reduction of Traction Motor

Chang¹,

Kim²,

Kim³

2015

Journal of Electrical Engineering and Technology

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-This study proposes a re-adhesion algorithm that has stable traction effort for rolling stock slip/slide minimization when deliverable traction decreases by slip. The proposed scheme estimates appropriate reference speed using two encoders for reducing slip and controls traction effort stably and has stable control characteristics for disturbance. The algorithm which uses the maximum adhesive effort by instantaneous estimation of adhesion force stably controls traction effort and gives rolling stock excellent acceleration and deceleration characteristics. And a slip sensing element that can quickly detect slip is used. Load motor and inverter were checked in various slip conditions for creating various line conditions.

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Dynamic simulation of wheel-rail interaction for locomotive traction studies

Cited by 26 publications

References 2 publications

Adhesion Force Detection Method Based on the Kalman Filter for Slip Control Purpose

Adhesion Force Detection Method Based on the Kalman Filter for Slip Control Purpose

Investigation of the impact of locomotive creep control on wear under changing contact conditions

A Design of Prototype 1C2M Railway Vehicle Propulsion Control System Considering Slip Reduction of Traction Motor

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