Title :
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
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;
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
DOI :
10.1109/ICMA.2015.7237671