DocumentCode :
2770996
Title :
Modeling and Simulation of High Performance Sixth Order Sigma-Delta MEMS Accelerometer
Author :
Saxena, Gaurav Dutta ; Thamarai, V.
Author_Institution :
Lab. for Electro-Opt. Syst. (LEOS), Bangalore, India
fYear :
2011
fDate :
7-9 Oct. 2011
Firstpage :
527
Lastpage :
531
Abstract :
MEMS fabrication process is an inherently rugged technology and has great potential to bring forth novel solutions on the harsh environment and critical applications. This paper reports on a very high performance closed-loop MEMS accelerometer targeted at inertial navigation applications. Motivation of this paper is to develop a high resolution inertial grade closed loop Accelerometer using the MEMS sensor fabricated at LEOS. The MEMS sensor with comb type structure has a sensitivity of 6 pF / g. This paper reports on the design and detailed simulation of signal conditioning circuit for MEMS accelerometer using a 6th order Sigma-Delta IC ADS-1278 provided by Texas Instruments. The functionality and the performance of the system were studied by P-Spice simulation. Signal-to-noise ratio (SNR) of 97.8dB and effective number of bits (ENOB) of 16 bits over a measurement range of +/-1g was estimated with an over sampling ratio (OSR) of 128.
Keywords :
accelerometers; closed loop systems; inertial navigation; microfabrication; microsensors; signal conditioning circuits; MEMS fabrication process; MEMS sensor; P-Spice simulation; Texas instrument; comb type structure; harsh environment; high performance closed-loop MEMS accelerometer; high performance sixth order sigma-delta MEMS accelerometer; high resolution inertial grade closed loop accelerometer; inertial navigation application; sampling ratio; sigma-delta IC ADS-1278; signal conditioning circuit; signal-to-noise ratio; Acceleration; Accelerometers; Electrodes; Integrated circuit modeling; Mathematical model; Micromechanical devices; Sigma delta modulation; Accelerometer; Micro Electro Mechanical Systems (MEMS); Sigma-Delta;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4577-2033-8
Type :
conf
DOI :
10.1109/CICN.2011.113
Filename :
6112924
Link To Document :
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