Study of space micro-vibration active isolation platform acceleration measurement

Author

Feng Zhu ; Zhiguo Shi ; Zhaopei Gong ; Liang Ding ; Honghao Yue ; Rongqiang Liu ; Qianqian Wu ; Zongquan Deng

Author_Institution

Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol., Beijing, China

fYear

2015

fDate

2-5 Aug. 2015

Firstpage

1289

Lastpage

1294

Abstract

In order to realize the vibration isolation performance of space micro-vibration active isolation platform, it is necessary to measure the vibration accurately. A kind of nine accelerometers allocation scheme containing redundant information is proposed and the corresponding formulae are presented. Then, with the method of using linear accelerometers to measure six degrees-of-freedom (DOF) acceleration, the Kalman filter algorithm is applied for the processing of the acceleration signal. Both simulation and experiment results show that the use of redundant information and Kalman filter can reduce noise and improve accuracy effectively.

Keywords

Kalman filters; accelerometers; mechanical engineering computing; vibration isolation; Kalman filter algorithm; acceleration measurement; accelerometer allocation scheme; linear accelerometer; space microvibration active isolation; Acceleration; Accelerometers; Kalman filters; Mathematical model; Noise; Sensors; Vibrations; Kalman filter; angular acceleration; linear acceleration; redundant information;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2015 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-7097-1

Type

conf

DOI

10.1109/ICMA.2015.7237671

Filename

7237671