mems mass sensor
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Author(s):  
Toky Harrison RABENIMANANA ◽  
Vincent Walter ◽  
Najib Kacem ◽  
Patrice Le Moal ◽  
Gilles Bourbon ◽  
...  

2019 ◽  
Vol 28 (3) ◽  
pp. 382-389 ◽  
Author(s):  
Priyanka Joshi ◽  
Sanjeev Kumar ◽  
V. K. Jain ◽  
Jamil Akhtar ◽  
Jitendra Singh
Keyword(s):  

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 1084
Author(s):  
Toky Rabenimanana ◽  
Vincent Walter ◽  
Najib Kacem ◽  
Patrice Le Moal ◽  
Joseph Lardiès

This paper presents a nonlinear analytical model of MEMS mass sensor, which is composed of two cantilevers of 98 µm and 100 µm length, 20 µm width and 1.3 µm thick. They are connected by a coupling beam and only the shortest cantilever is actuated by a combined AC-DC voltage. The DC voltage is used to equilibrate the system and the phenomenon of mode localization is investigated when a mass perturbation is applied. The sensor is modeled as a continuous system with beam theory and non-ideal boundary conditions are considered by using flexible supports. With a low AC voltage of 10 mV, a DC voltage of 5.85 V can counterbalance the length difference. This DC voltage decreases at 5.60 V when we increase the AC voltage, due to the effect of electrostatic nonlinearities. For a relative added mass of 0.1%, the amplitude change in the two cantilevers is more important when the coupling is weaker.


2016 ◽  
Vol 22 (20) ◽  
pp. 4101-4110 ◽  
Author(s):  
NJ Peruzzi ◽  
FR Chavarette ◽  
JM Balthazar ◽  
AM Tusset ◽  
ALPM Perticarrari ◽  
...  

Micro-electromechanical systems (MEMS) are micro scale devices that are able to convert electrical energy into mechanical energy or vice versa. In this paper, the mathematical model of an electronic circuit of a resonant MEMS mass sensor, with time-periodic parametric excitation, was analyzed and controlled by Chebyshev polynomial expansion of the Picard interaction and Lyapunov-Floquet transformation, and by Optimal Linear Feedback Control (OLFC). Both controls consider the union of feedback and feedforward controls. The feedback control obtained by Picard interaction and Lyapunov-Floquet transformation is the first strategy and the optimal control theory the second strategy. Numerical simulations show the efficiency of the two control methods, as well as the sensitivity of each control strategy to parametric errors. Without parametric errors, both control strategies were effective in maintaining the system in the desired orbit. On the other hand, in the presence of parametric errors, the OLFC technique was more robust.


2012 ◽  
Vol 22 (11) ◽  
pp. 115032 ◽  
Author(s):  
Pedro Ortiz ◽  
Richie Burnett ◽  
Neil Keegan ◽  
Julia Spoors ◽  
John Hedley ◽  
...  

Author(s):  
Nicholas J. Miller ◽  
Steven W. Shaw

In this paper we explore parametric amplification of multidegree of freedom mechanical systems. We consider frequency conditions for modal interactions and determine stability conditions for three important cases. We develop conditions under which it is possible to sweep with direct and parametric excitation to produce a sweep response with amplified effective quality factor of resonances encountered during the sweep. With this technique it is possible to improve the measurement of resonance locations in swept devices, such as those that operate on resonance shifting. A numerical example motivated by a MEMS mass sensor is given in support of the analysis.


2002 ◽  
Vol 102 (1-2) ◽  
pp. 139-150 ◽  
Author(s):  
Wenhua Zhang ◽  
Rajashree Baskaran ◽  
Kimberly L. Turner

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