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    An Advanced Antislip Control Algorithm for Locomotives Under Complex Friction Conditions

    Source: Journal of Computational and Nonlinear Dynamics:;2021:;volume( 016 ):;issue: 010::page 0101004-1
    Author:
    Yang, Yunfan
    ,
    Ling, Liang
    ,
    Zhang, Tao
    ,
    Wang, Kaiyun
    ,
    Zhai, Wanming
    DOI: 10.1115/1.4051822
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The 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.
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      An Advanced Antislip Control Algorithm for Locomotives Under Complex Friction Conditions

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4278930
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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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