2016
DOI: 10.1155/2016/3479752
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Control of Bouncing in MEMS Switches Using Double Electrodes

Abstract: This paper presents a novel way of controlling the bouncing phenomenon commonly present in the Radio Frequency Microelectromechanical Systems (RF MEMS) switches using a double-electrode configuration. The paper discusses modeling bouncing using both lumped parameter and beam models. The simulations of bouncing and its control are discussed. Comparison between the new proposed method and other available control techniques is also made. The Galerkin method is applied on the beam model accounting for the nonlinea… Show more

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Cited by 3 publications
(4 citation statements)
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“…Similar results were also found in [155,159,161,163,193] and [234]. On the other hand, to mitigate bouncing phenomena [39,117,164], employed the soft-landing waveform optimization technique, which tries to lower the impact velocity by leveraging pull-in phenomena and minimizing switch bounces.…”
Section: Rf Switches and Inertial Force Switchessupporting
confidence: 60%
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“…Similar results were also found in [155,159,161,163,193] and [234]. On the other hand, to mitigate bouncing phenomena [39,117,164], employed the soft-landing waveform optimization technique, which tries to lower the impact velocity by leveraging pull-in phenomena and minimizing switch bounces.…”
Section: Rf Switches and Inertial Force Switchessupporting
confidence: 60%
“…Distributed-parameter approach is commonly used to analyze MEMS vibro-impact systems that maintains the continuous nature of the structure and represents the response in terms of continuous variables. Based on this approach, MEMS vibro-impact systems are usually modeled as a timevarying, spatially distributed partial differential equation (PDE) coupled with the nonlinear terms and most of them are based on the Euler-Bernoulli theory [18,37,115,117,141,148,149,160,163]. A widely used method to treat these PDEs is to reduce them to tractable ordinary differential equations (ODEs) through modal analysis [18,115,117,141,163], resulting in a lumped reduced-order model.…”
Section: Techniques For Obtaining the Dynamical Behaviorsmentioning
confidence: 99%
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