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dc.contributor.authorYang, Yunfan
dc.contributor.authorLing, Liang
dc.contributor.authorZhang, Tao
dc.contributor.authorWang, Kaiyun
dc.contributor.authorZhai, Wanming
dc.date.accessioned2022-02-06T05:51:48Z
dc.date.available2022-02-06T05:51:48Z
dc.date.copyright8/11/2021 12:00:00 AM
dc.date.issued2021
dc.identifier.issn1555-1415
dc.identifier.othercnd_016_10_101004.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278930
dc.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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleAn Advanced Antislip Control Algorithm for Locomotives Under Complex Friction Conditions
dc.typeJournal Paper
dc.journal.volume16
dc.journal.issue10
dc.journal.titleJournal of Computational and Nonlinear Dynamics
dc.identifier.doi10.1115/1.4051822
dc.journal.fristpage0101004-1
dc.journal.lastpage0101004-15
dc.page15
dc.treeJournal of Computational and Nonlinear Dynamics:;2021:;volume( 016 ):;issue: 010
dc.contenttypeFulltext


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