Research on Deep-sea In-Situ Laser Doppler Velocity Measurement System

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
2012 ◽  
Vol 562-564 ◽  
pp. 1240-1243
Author(s):  
Jian Chao Li ◽  
Jun Hong Su ◽  
Ming Gao

In order to satisfy the high accuracy velocity measurement requirement, using the improved dual-frequency laser Doppler velocity measurement principle, designed a set of laser Doppler velocity measurement system. System consists of two parts: optical system and signal acquisition and processing system. Through the establishment of dual-frequency laser Doppler velocity measurement experimental platform for testing, the result shows that the method can be carried on the high accuracy velocity measurement which in high speed move object. Measurement range from 0.1 m/s to 50 m/s, the error is less than 2 percent and it could increase the speed measurement range.


Applied laser ◽  
2012 ◽  
Vol 32 (4) ◽  
pp. 305-309
Author(s):  
王树梅 Wang Shumei ◽  
郑艳芳 Zheng Yanfang

Author(s):  
Jiuyi Yuan ◽  
Haibin Yu ◽  
Haiyu Yan ◽  
Li Xu ◽  
Guanbao Li

2020 ◽  
Vol 27 (4) ◽  
pp. 375-379
Author(s):  
Wei Liu ◽  
Wendi Yan ◽  
Yuan Wang ◽  
Chunlei Jiang ◽  
Yuhan Geng ◽  
...  

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2729 ◽  
Author(s):  
Xiaorui Liu ◽  
Fujun Qi ◽  
Wangquan Ye ◽  
Kai Cheng ◽  
Jinjia Guo ◽  
...  

In recent years, cabled ocean observation technology has been increasingly used for deep sea in situ research. As sophisticated sensor or measurement system starts to be applied on a remotely operated vehicle (ROV), it presents the requirement to maintain a stable condition of measurement system cabin. In this paper, we introduce one kind of ROV-based Raman spectroscopy measurement system (DOCARS) and discuss the development characteristics of its cabin condition during profile measurement process. An available and straightforward modeling methodology is proposed to realize predictive control for this trend. This methodology is based on the Autoregressive Exogenous (ARX) model and is optimized through a series of sea-going test data. The fitting result demonstrates that during profile measurement processes this model can availably predict the development trends of DORCAS’s cabin condition during the profile measurement process.


Sign in / Sign up

Export Citation Format

Share Document