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contributor authorYang, Yunfan
contributor authorLing, Liang
contributor authorZhang, Tao
contributor authorWang, Kaiyun
contributor authorZhai, Wanming
date accessioned2022-02-06T05:51:48Z
date available2022-02-06T05:51:48Z
date copyright8/11/2021 12:00:00 AM
date issued2021
identifier issn1555-1415
identifier othercnd_016_10_101004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278930
description abstractThe locomotive wheelsets configured with high-power AC traction motors are very prone to slip under poor friction conditions, which usually impair traction/braking efficiency. To avoid the adverse consequence caused by the conspicuous slipping behaviors of wheels, the antislip control modules are consequently equipped on high-power locomotives. This paper presents an advanced antislip control algorithm for heavy-haul locomotives traveling by complex wheel/rail friction conditions. The proposed antislip control model is implemented in a three-dimensional (3D) heavy-haul train-track coupled dynamics model, in which the real-time estimation of wheel/rail adhesion conditions and relevant optimization adjustment of control threshold values are considered. The wheel/rail dynamic interactions of the heavy-haul locomotive under traction/braking conditions and multifarious friction conditions are investigated. The control effects of the antislip controllers with changeable and constant threshold values are compared. It is shown that the traction/braking loads and friction conditions have a significant effect on wheel/rail interactions. The optimal traction/braking efficiency can be realized by adopting the antislip controller with alterable threshold values.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Advanced Antislip Control Algorithm for Locomotives Under Complex Friction Conditions
typeJournal Paper
journal volume16
journal issue10
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4051822
journal fristpage0101004-1
journal lastpage0101004-15
page15
treeJournal of Computational and Nonlinear Dynamics:;2021:;volume( 016 ):;issue: 010
contenttypeFulltext


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