scholarly journals A New Methodology for Vibration Error Compensation of Optical Encoders

Sensors ◽  
2012 ◽  
Vol 12 (4) ◽  
pp. 4918-4933 ◽  
Author(s):  
Jesus Lopez ◽  
Mariano Artes
2012 ◽  
Vol 590 ◽  
pp. 377-384
Author(s):  
Hong Xu Li ◽  
Ming Hua Pan ◽  
Long Wang ◽  
Guo Li Zhu

The inclinometers play a key role in the measurement of attitude angles of TBM. During the tunneling process, TBM suffers larger vibration and impact, because its construction environment is mostly mountain which is quite different from the ordinary shield tunneling machine whose is city soft soil. It will have an effect on the correct output of inclinometers in the position and orientation measurement system. Based on the principle of wavelet transform and vibration isolation, this paper presents a vibration error compensation method of the inclinometer to reduce the vibration error and fulfill the accuracy requirements of the attitude angles of TBM. On the basis of error analysis of the vibration measurement experiment of the inclinometer, process the vibration experiment data in different calibration angle and verify the efficiency of this method. Based on this method, it can eliminate the vibration error of inclinometers in any angle in time to achieve the purpose of output correction.


2017 ◽  
Vol 41 (3) ◽  
pp. 279-288
Author(s):  
K. Zhang ◽  
Q. Liu ◽  
C. Sun ◽  
P. Yang ◽  
Y. Tang ◽  
...  

2016 ◽  
Vol 9 (5) ◽  
pp. 324 ◽  
Author(s):  
Zain Retas ◽  
Lokman Abdullah ◽  
Syed Najib Syed Salim ◽  
Zamberi Jamaludin ◽  
Nur Amira Anang

The system of route correction of an unmanned aerial vehicle (UAV) is considered. For the route correction the on-board radar complex is used. In conditions of active interference, it is impossible to use radar images for the route correction so it is proposed to use the on-board navigation system with algorithmic correction. An error compensation scheme of the navigation system in the output signal using the algorithm for constructing a predictive model of the system errors is applied. The predictive model is building using the genetic algorithm and the method of group accounting of arguments. The quality comparison of the algorithms for constructing predictive models is carried out using mathematical modeling.


Sign in / Sign up

Export Citation Format

Share Document