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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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