DocumentCode
2370083
Title
Mixed H2/H∞ Estimation Design of MEMS-Based Micro Inertial Navigation Systems
Author
Chang, Shyang-Jye ; Chen, Yung-Yue ; Wang, Shih-Hao ; Huang, Chiung-Yau
Author_Institution
Dept. of Adv. Actuator Syst., Microsyst. Technol. Center
fYear
2006
fDate
6-10 Nov. 2006
Firstpage
531
Lastpage
536
Abstract
An investigation about the mixed H2/H∞ estimation of the INS (inertial navigation system) that is mainly integrated by MEMS-based micro inertial devices (accelerometer and gyroscope) is presented in this study. The mixed H2/H∞ estimator of INS includes two parts: a regression form fuzzy system that is adopted to approximate the unknown acceleration and angular rate commands come respectively from the MEMS-based accelerometer and gyroscope devices and a mixed H2/H∞ estimator based on the above fuzzy system by optimal robust filter design concept for eliminating the effects of device noises and modeling uncertainties is proposed. This combination of MEMS devices and robust filtering technologies will successfully offer one an opportunity to develop a more small size and high accuracy module for practical navigation applications
Keywords
H∞ control; accelerometers; filtering theory; fuzzy set theory; fuzzy systems; gyroscopes; inertial navigation; micromechanical devices; robust control; MEMS-based microinertial navigation systems; accelerometers; device noise elimination; fuzzy system; gyroscope devices; mixed H2-H∞ estimation design; modeling uncertainties; optimal robust filter design concept; Acceleration; Accelerometers; Filtering; Filters; Fuzzy systems; Gyroscopes; Inertial navigation; Microelectromechanical devices; Noise robustness; Uncertainty; Fuzzy Modeling; MEMS Devices; Mixed H2/H∞ Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location
Paris
ISSN
1553-572X
Print_ISBN
1-4244-0390-1
Type
conf
DOI
10.1109/IECON.2006.347940
Filename
4153304
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