Parameter identification of inertial velocity sensor for low-frequency vibration measurement

Junzhong Li; Lei Wang; Bo Zhao; Guolong Zhao; Jing Wang; Zhen Zhang; Jiamin Chen; Shitong Wang

doi:10.1117/12.2512105

7 March 2019 Parameter identification of inertial velocity sensor for low-frequency vibration measurement

Junzhong Li, Lei Wang, Bo Zhao, Guolong Zhao, Jing Wang, Zhen Zhang, Jiamin Chen, Shitong Wang

Proceedings Volume 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation; 110533A (2019) https://doi.org/10.1117/12.2512105
Event: 10th International Symposium on Precision Engineering Measurements and Instrumentation (ISPEMI 2018), 2018, Kunming, China

Abstract

Whether velocity sensor can accurately acquire payload vibration information has become the most important factor that restricts vibration isolation performance. In order to get accurate sensor parameters, DC excitation method is used to measure the central frequency, damping ratio and sensitivity of inertial velocity sensor. The influence of different currents on the measurement accuracy of sensors such as response voltage, central frequency, damping ratio and sensitivity is analyzed, and the optimal current value is determined, which provides a powerful guarantee for obtaining accurate sensor parameters. Finally, the GS-11D sensor is used to carry out the experiment. The experimental results show that the relative error of the central frequency, damping ratio and sensitivity of the DC excitation method can meet the application requirements.

Citation Download Citation

Junzhong Li, Lei Wang, Bo Zhao, Guolong Zhao, Jing Wang, Zhen Zhang, Jiamin Chen, and Shitong Wang "Parameter identification of inertial velocity sensor for low-frequency vibration measurement", Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 110533A (7 March 2019); https://doi.org/10.1117/12.2512105

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available