Research Article
Asian Journal of Engineering, Sciences and Technology - Volume 4, Issue 2 2014
By Zulfiqar Ali Soomro
Keywords: Adhesion, creep coefficient, lateral speed, steering, error estimation, primary suspension

The railway wheelset of vehicle has enormous importance in its dynamics and modeling point of view. The knowledge of pertaining dynamics for proper running of railway wheels over railway tracks affected by the disturbances is very essential. Hence it is necessary to model the rail-wheel contact patches properly to avoid detrimental accidents due to improper adhesion level based to relation of creep analysis. The yaw motion is one of three degrees of freedom which varies with other two degree of freedom in longitudinal and lateral dimensions. In this paper, these generated disturbances are estimated by using kalman filter algorithm to control yaw velocity noise under various creep coefficient. Thus stability of rail wheelset model is investigated by error percentage estimation based upon creep to check adhesion level to avoid slip to protect railway vehicle and lives. This reflects the idea for acquiring the higher level of creep co efficient for stability of the railway wheelset as well as to reduce error ratio.