NOISE CONTROL FILTRATION OF LATERAL AND YAW DYNAMICS FOR RAILWAY VEHICLE WHEELSET ON TRACK

  • Zulfiqar Ali Soomro Mech; Deptt; Quaid-e-Awam University of Engineering Science and Technology Nawabshah, Pakistan
Keywords: Adhesion, lateral creepage, error estimation, coinicity, creep coefficient, wheel inertia

Abstract

The noise is the fundamental substandard sign of smooth running of the railway vehicle wheelset over the railroad. This disturbance is created deteriorating environment on deranged railway vehicle speed in any direction of basic degree of freedom. In this paper, Brief applicable mathematic is used framed for necessary modeling. The estimation of perturbations for the movement by wheels and velocity of train in lateral and yaw phases are enumerated. Here dual bucy kalman estimator is implemented to decrease the influence of the noise caused due improper ratio of adhesion level upon track. One estimator reduces the overshoot of noise and other to minimize it at lower level of level of error. Further the behavior of lateral and yaw dynamic analysis is observed by implementation of fuzzy inference system through applicable member functions.

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Published
2017-11-20
How to Cite
Soomro, Z. (2017, November 20). NOISE CONTROL FILTRATION OF LATERAL AND YAW DYNAMICS FOR RAILWAY VEHICLE WHEELSET ON TRACK. JOURNAL OF ENGINEERING AND APPLIED SCIENCES, 36(1). Retrieved from https://journals.uetjournals.com/index.php/JEAS/article/view/29