Next Article in Journal
Hemispheric Lateralization of Event-Related Brain Potentials in Different Processing Phases during Unimanual Finger Movements
Next Article in Special Issue
Improved Progressive Polynomial Algorithm for Self-Adjustment and Optimal Response in Intelligent Sensors
Previous Article in Journal
Feature Extraction and Spatial Interpolation for Improved Wireless Location Sensing
Previous Article in Special Issue
High Sensitivity MEMS Strain Sensor: Design and Simulation
Open AccessArticle

An Integrated MEMS Gyroscope Array with Higher Accuracy Output

Micro and Nano Electro Mechanical System Laboratory, Northwestern Polytechnical University, Xi’an City, Shaanxi Province, P. R. China, 710072
*
Author to whom correspondence should be addressed.
Sensors 2008, 8(4), 2886-2899; https://doi.org/10.3390/s8042886
Received: 29 October 2007 / Accepted: 21 April 2008 / Published: 28 April 2008
(This article belongs to the Special Issue Intelligent Sensors)
In this paper, an integrated MEMS gyroscope array method composed of two levels of optimal filtering was designed to improve the accuracy of gyroscopes. In the firstlevel filtering, several identical gyroscopes were combined through Kalman filtering into a single effective device, whose performance could surpass that of any individual sensor. The key of the performance improving lies in the optimal estimation of the random noise sources such as rate random walk and angular random walk for compensating the measurement values. Especially, the cross correlation between the noises from different gyroscopes of the same type was used to establish the system noise covariance matrix and the measurement noise covariance matrix for Kalman filtering to improve the performance further. Secondly, an integrated Kalman filter with six states was designed to further improve the accuracy with the aid of external sensors such as magnetometers and accelerometers in attitude determination. Experiments showed that three gyroscopes with a bias drift of 35 degree per hour could be combined into a virtual gyroscope with a drift of 1.07 degree per hour through the first-level filter, and the bias drift was reduced to 0.53 degree per hour after the second-level filtering. It proved that the proposed integrated MEMS gyroscope array is capable of improving the accuracy of the MEMS gyroscopes, which provides the possibility of using these low cost MEMS sensors in high-accuracy application areas. View Full-Text
Keywords: MEMS gyroscopes; optimal filtering; accuracy improving; random noise; gyroscope array. MEMS gyroscopes; optimal filtering; accuracy improving; random noise; gyroscope array.
MDPI and ACS Style

Chang, H.; Xue, L.; Qin, W.; Yuan, G.; Yuan, W. An Integrated MEMS Gyroscope Array with Higher Accuracy Output. Sensors 2008, 8, 2886-2899.

AMA Style

Chang H, Xue L, Qin W, Yuan G, Yuan W. An Integrated MEMS Gyroscope Array with Higher Accuracy Output. Sensors. 2008; 8(4):2886-2899.

Chicago/Turabian Style

Chang, Honglong; Xue, Liang; Qin, Wei; Yuan, Guangmin; Yuan, Weizheng. 2008. "An Integrated MEMS Gyroscope Array with Higher Accuracy Output" Sensors 8, no. 4: 2886-2899.

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop