Development of Traction Control for Hauling Locomotives

Abstract

As heavy haul trains continue to push the limits of train size and mass and maximise locomotive performance, improving control of adhesion and slip will continue to be in demand. In considering the need to realise maximum adhesion forces for a rail vehicle, it is important to provide the development of new algorithms for traction control in a proper way that takes into account the need to avoid rail and track damage. This paper presents a strategy based on the Polach contact model for the detection of maximum adhesion force, and this strategy also includes slip compensation. The proposed traction control system has been verified by means of a co-simulation approach between the Gensys multibody code and the Simulink package.

Real-time simulation of rigid body system driven by linear elements

“…一方，剛体システムと油圧システムの連成解析は，これまで，それぞれ別々のソフトでモデル化し，時間ステ ップごとに状態量を交換するコーシミュレーション (Hur, et al, 2003), (Spiryagin, et al, 2011 The motion analysis is conducted by using RecurDyn and the present technique. Red line is swing angular velocity calculated by RecurDyn and blue one is that by the present technique.…”

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

“…EKF is the nonlinear version of the Kalman filter which linearizes about the estimation of the current mean and covariance using Taylor expansions. 8 A general scheme of an EKF estimation system is shown in Figure 3. The EKF is constructed based on the dynamic relationship which is used in the simulation model.…”

“…State matrix A and Measurement matrix H are determined by system dynamic equations (2-1) to (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12). As the dynamic equations are nonlinear, extended Kalman filter is chosen to provide estimations of the state variable.…”

“…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.…”

“…However, it is questionable about the reliability of the sensorless control as its fundamental assumption is that the traction motor flux as constant which is only valid in certain cases. Spiryagin et al [7,8] included the complex relationship between the creepage and creep force in the observers in his proposed method, to improve the results of pervious research. The friction coefficient is assumed to be measurable from wheel -rail noise and the vehicle speed is measurable by the GPS.…”