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    A Study of Noise Impact on the Stability of Electrostatic MEMS

    Source: Journal of Computational and Nonlinear Dynamics:;2020:;volume( 015 ):;issue: 011::page 0111006-1
    Author:
    Qiao, Yan
    ,
    Xu, Wei
    ,
    Zhang, Hongxia
    ,
    Guo, Qin
    ,
    Abdel-Rahman, Eihab
    DOI: 10.1115/1.4048365
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Noise-induced motions are a significant source of uncertainty in the response of micro-electromechanical systems (MEMS). This is particularly the case for electrostatic MEMS where electrical and mechanical sources contribute to noise and can result in sudden and drastic loss of stability. This paper investigates the effects of noise processes on the stability of electrostatic MEMS via a lumped-mass model that accounts for uncertainty in mass, mechanical restoring force, bias voltage, and AC voltage amplitude. We evaluated the stationary probability density function (PDF) of the resonator response and its basins of attraction in the presence noise and compared them to that those obtained under deterministic excitations only. We found that the presence of noise was most significant in the vicinity of resonance. Even low noise intensity levels caused stochastic jumps between co-existing orbits away from bifurcation points. Moderate noise intensity levels were found to destroy the basins of attraction of the larger orbits. Higher noise intensity levels were found to destroy the basins of attraction of smaller orbits, dominate the dynamic response, and occasionally lead to pull-in. The probabilities of pull-in of the resonator under different noise intensity level are calculated, which are sensitive to the initial conditions.
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      A Study of Noise Impact on the Stability of Electrostatic MEMS

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    contributor authorQiao, Yan
    contributor authorXu, Wei
    contributor authorZhang, Hongxia
    contributor authorGuo, Qin
    contributor authorAbdel-Rahman, Eihab
    date accessioned2022-02-04T21:55:10Z
    date available2022-02-04T21:55:10Z
    date copyright9/28/2020 12:00:00 AM
    date issued2020
    identifier issn1555-1415
    identifier othercnd_015_11_111006.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4274531
    description abstractNoise-induced motions are a significant source of uncertainty in the response of micro-electromechanical systems (MEMS). This is particularly the case for electrostatic MEMS where electrical and mechanical sources contribute to noise and can result in sudden and drastic loss of stability. This paper investigates the effects of noise processes on the stability of electrostatic MEMS via a lumped-mass model that accounts for uncertainty in mass, mechanical restoring force, bias voltage, and AC voltage amplitude. We evaluated the stationary probability density function (PDF) of the resonator response and its basins of attraction in the presence noise and compared them to that those obtained under deterministic excitations only. We found that the presence of noise was most significant in the vicinity of resonance. Even low noise intensity levels caused stochastic jumps between co-existing orbits away from bifurcation points. Moderate noise intensity levels were found to destroy the basins of attraction of the larger orbits. Higher noise intensity levels were found to destroy the basins of attraction of smaller orbits, dominate the dynamic response, and occasionally lead to pull-in. The probabilities of pull-in of the resonator under different noise intensity level are calculated, which are sensitive to the initial conditions.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Study of Noise Impact on the Stability of Electrostatic MEMS
    typeJournal Paper
    journal volume15
    journal issue11
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4048365
    journal fristpage0111006-1
    journal lastpage0111006-10
    page10
    treeJournal of Computational and Nonlinear Dynamics:;2020:;volume( 015 ):;issue: 011
    contenttypeFulltext
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