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    Optimal Design of Multiple Tuned Mass Dampers to Reduce Vibrations of a Ram-Type Structure With Varying Dynamics via a Control Theoretic Framework

    Source: Journal of Manufacturing Science and Engineering:;2020:;volume( 142 ):;issue: 002::page 021009-1
    Author:
    Lee, Jihyun
    ,
    Kim, Chang-Ju
    ,
    Lee, Changho
    ,
    Oh, Changwon
    DOI: 10.1115/1.4045628
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper investigates the use of a linear time-invariant (LTI) control framework to optimally design multiple tuned mass dampers (TMDs) that minimize unwanted vibrations caused by exogenous disturbance forces to a ram-type structure with varying dynamic characteristics. A key challenge for the development of the LTI control framework is the reformulation of the TMDs’ design parameters, which consist of linear and nonlinear parameters as static feedback gains. This paper proposes the use of extra cascade control inputs to reformulate the optimization problem into an LTI control framework for the simultaneous optimization of linear (i.e., stiffness and damping) and nonlinear (i.e., location) parameters. A rigid planar system with multiple attached TMDs is developed as a mathematical model. It is reconstituted as an LTI framework by connecting a control input for the location parameter with control inputs for the stiffness and damping parameters. The model is then optimized using multi-model H∞ synthesis. A commercial gantry-type machining center is used to validate the proposed approach. Results from the simulation and experiment show that the optimized multiple TMDs systematically designed by this approach improve the system's dynamic stiffness by up to 83% and increase the allowable maximum depth of cut from 1 mm to 1.5 mm.
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      Optimal Design of Multiple Tuned Mass Dampers to Reduce Vibrations of a Ram-Type Structure With Varying Dynamics via a Control Theoretic Framework

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4275876
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    contributor authorLee, Jihyun
    contributor authorKim, Chang-Ju
    contributor authorLee, Changho
    contributor authorOh, Changwon
    date accessioned2022-02-04T22:59:54Z
    date available2022-02-04T22:59:54Z
    date copyright2/1/2020 12:00:00 AM
    date issued2020
    identifier issn1087-1357
    identifier othermanu_142_2_021009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275876
    description abstractThis paper investigates the use of a linear time-invariant (LTI) control framework to optimally design multiple tuned mass dampers (TMDs) that minimize unwanted vibrations caused by exogenous disturbance forces to a ram-type structure with varying dynamic characteristics. A key challenge for the development of the LTI control framework is the reformulation of the TMDs’ design parameters, which consist of linear and nonlinear parameters as static feedback gains. This paper proposes the use of extra cascade control inputs to reformulate the optimization problem into an LTI control framework for the simultaneous optimization of linear (i.e., stiffness and damping) and nonlinear (i.e., location) parameters. A rigid planar system with multiple attached TMDs is developed as a mathematical model. It is reconstituted as an LTI framework by connecting a control input for the location parameter with control inputs for the stiffness and damping parameters. The model is then optimized using multi-model H∞ synthesis. A commercial gantry-type machining center is used to validate the proposed approach. Results from the simulation and experiment show that the optimized multiple TMDs systematically designed by this approach improve the system's dynamic stiffness by up to 83% and increase the allowable maximum depth of cut from 1 mm to 1.5 mm.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimal Design of Multiple Tuned Mass Dampers to Reduce Vibrations of a Ram-Type Structure With Varying Dynamics via a Control Theoretic Framework
    typeJournal Paper
    journal volume142
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4045628
    journal fristpage021009-1
    journal lastpage021009-8
    page8
    treeJournal of Manufacturing Science and Engineering:;2020:;volume( 142 ):;issue: 002
    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