Prediction of Gap Asymmetry in Differential Micro Accelerometers

Gap asymmetry in differential capacitors is the primary source of the zero bias output of force-balanced micro accelerometers. It is also used to evaluate the applicability of differential structures in MEMS manufacturing. Therefore, determining the asymmetry level has considerable significance for the design of MEMS devices. This paper proposes an experimental-theoretical method for predicting gap asymmetry in differential sensing capacitors of micro accelerometers. The method involves three processes: first, bi-directional measurement, which can sharply reduce the influence of the feedback circuit on bias output, is proposed. Experiments are then carried out on a centrifuge to obtain the input and output data of an accelerometer. Second, the analytical input-output relationship of the accelerometer with gap asymmetry and circuit error is theoretically derived. Finally, the prediction methodology combines the measurement results and analytical derivation to identify the asymmetric error of 30 accelerometers fabricated by DRIE. Results indicate that the level of asymmetry induced by fabrication uncertainty is about ±5 × 10−2, and that the absolute error is about ±0.2 μm under a 4 μm gap.

[1]  G. Kovacs,et al.  Force-balanced accelerometer with mG resolution, fabricated using Silicon Fusion Bonding and Deep Reactive Ion Etching , 1997, Proceedings of International Solid State Sensors and Actuators Conference (Transducers '97).

[2]  J. W. Wittwer Predicting the Effects of Dimensional and Material Property Variations in Micro Compliant Mechanisms , 2001 .

[3]  Dorian Liepmann,et al.  Design and Experimental Results of Small-Scale Rotary Engines , 2001, Micro-Electro-Mechanical Systems (MEMS).

[4]  Ai Qun Liu,et al.  Advanced fiber optical switches using deep RIE (DRIE) fabrication , 2003 .

[5]  Ai Qun Liu,et al.  Tolerance analysis for comb-drive actuator using DRIE fabrication , 2006 .

[6]  Larry L. Howell,et al.  Surface micromachined force gauges: uncertainty and reliability , 2002 .

[7]  Wei Ping Chen,et al.  Damping Analysis of Asymmetrical Comb Accelerometer , 2007 .

[8]  Ai Qun Liu,et al.  A New Approach of Lateral RF MEMS Switch , 2004 .

[9]  Stewart McWilliam,et al.  Application of optimal and robust design methods to a MEMS accelerometer , 2008 .

[10]  Min-Hang Bao,et al.  Micro Mechanical Transducers: Pressure Sensors, Accelerometers and Gyroscopes , 2000 .

[11]  Kari Halonen,et al.  High-resolution continuous-time interface for micromachined capacitive accelerometer , 2009, Int. J. Circuit Theory Appl..

[12]  Marcello Vanali,et al.  Electrical method to measure the dynamic behaviour and the quadrature error of a MEMS gyroscope sensor , 2007 .

[13]  G. Fedder,et al.  Fabrication, characterization, and analysis of a DRIE CMOS-MEMS gyroscope , 2003 .

[14]  Gary K. Fedder,et al.  A DRIE CMOS-MEMS gyroscope , 2002, Proceedings of IEEE Sensors.

[15]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[16]  Ai Qun Liu,et al.  Mechanical design and optimization of capacitive micromachined switch , 2001 .

[17]  J. W. Wittwer,et al.  Robust design and model validation of nonlinear compliant micromechanisms , 2005, Journal of Microelectromechanical Systems.

[18]  K. Ponnambalam,et al.  A probabilistic design optimization for MEMS tunable capacitors , 2008, Microelectron. J..

[19]  B. Kwak,et al.  Robust optimal design of a vibratory microgyroscope considering fabrication errors , 2001 .

[20]  N. Pugno,et al.  Predictions of strength in MEMS components with defects - a novel experimental-theoretical approach , 2005 .