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    Rail Passenger Vehicle Lateral Dynamic Performance Improvement Through Active Control

    Source: Journal of Dynamic Systems, Measurement, and Control:;1978:;volume( 100 ):;issue: 004::page 270
    Author:
    P. K. Sinha
    ,
    D. N. Wormley
    ,
    J. K. Hedrick
    DOI: 10.1115/1.3426378
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: High speed operation of conventional rail vehicles is limited by a number of dynamic problems including ride quality, curve negotiation, and hunting. Active control is investigated as a technique for improving rail vehicle performance at high speeds. An automatic controller of specified configuration and structure is defined based on the physics of the wheel-rail interaction dynamics which allow a decomposition of dynamic constraints into selected frequency bands and a methodology for selecting the controller parameters is presented. Two controller case studies are examined to demonstrate the effectiveness of controller configuration on rail vehicle performance in terms of ride quality and tracking errors on tangent track while allowing specified curve negotiation requirements to be met. Estimates of control power requirements are also obtained which show that the controller configurations considered produce improvements in vehicle performance—reduction of rms vehicle accelerations by a factor of between 5 and 6 and reduction of rms tracking errors by a factor of between 4 and 5—with modest expenditures of control—power between 1.5 and 2 kw per truck at a vehicle speed of 68.58m/s.
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      Rail Passenger Vehicle Lateral Dynamic Performance Improvement Through Active Control

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/90874
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorP. K. Sinha
    contributor authorD. N. Wormley
    contributor authorJ. K. Hedrick
    date accessioned2017-05-08T23:04:30Z
    date available2017-05-08T23:04:30Z
    date copyrightDecember, 1978
    date issued1978
    identifier issn0022-0434
    identifier otherJDSMAA-26053#270_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/90874
    description abstractHigh speed operation of conventional rail vehicles is limited by a number of dynamic problems including ride quality, curve negotiation, and hunting. Active control is investigated as a technique for improving rail vehicle performance at high speeds. An automatic controller of specified configuration and structure is defined based on the physics of the wheel-rail interaction dynamics which allow a decomposition of dynamic constraints into selected frequency bands and a methodology for selecting the controller parameters is presented. Two controller case studies are examined to demonstrate the effectiveness of controller configuration on rail vehicle performance in terms of ride quality and tracking errors on tangent track while allowing specified curve negotiation requirements to be met. Estimates of control power requirements are also obtained which show that the controller configurations considered produce improvements in vehicle performance—reduction of rms vehicle accelerations by a factor of between 5 and 6 and reduction of rms tracking errors by a factor of between 4 and 5—with modest expenditures of control—power between 1.5 and 2 kw per truck at a vehicle speed of 68.58m/s.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRail Passenger Vehicle Lateral Dynamic Performance Improvement Through Active Control
    typeJournal Paper
    journal volume100
    journal issue4
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.3426378
    journal fristpage270
    journal lastpage283
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;1978:;volume( 100 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian