Self-Calibration and Error Compensation of Flexible Coordinate Measuring Robot

2007 ◽  
Author(s):  
Liu Wanli ◽  
Qu Xinghu ◽  
Yan Yonggang
Keyword(s):  
Error Compensation ◽  
Self Calibration

The Design and Error Compensation Research of 3-Axis Electronic Compass Installed in Small Muti-Rotors Unmanned Aerial Vehicle

2012 ◽  
Vol 256-259 ◽  
pp. 2270-2273
Author(s):  
Song Wei Fan ◽  
Hong Wei Bian
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Error Compensation ◽  
Zero Bias ◽  
Unmanned Vehicle ◽  
Bias Adjustment ◽  
Self Calibration ◽  
Aerial Vehicle ◽  
Electronic Compass

A 3-axis electronic compass is designed for small multi-rotors unmanned vehicle. The STM32F103 is used as E-compass’ CPU, and ADXL345 and MAG3110 is used as the acceleration and geomagnetic sensor. The E-compass’ software is programmed by using IAR EWARM. For outdoor applications, the ellipsoid assumption theory is simply proved and used for E-compass’ self-calibration. By using the zero-bias adjustment for pre-calibration and the fitellipsoid compensation for precise calibration, the E-compass’ precision is nearly 1 degree.

443: Can Self-Calibration Prevent Urethral Stricture Recurrence Following Direct Visual Internal Urethrotomy?

2005 ◽  
Vol 173 (4S) ◽  
pp. 121-121
Author(s):  
Hari Siva Gurunadha Rao Tunuguntla ◽  
P.V.L.N. Murthy ◽  
K. Sasidharan
Keyword(s):  
Urethral Stricture ◽  
Internal Urethrotomy ◽  
Self Calibration ◽  
Stricture Recurrence

Tracking Error Compensation of XY Table Ball Screw Driven System Using Cascade Fuzzy P+PI

2016 ◽  
Vol 9 (5) ◽  
pp. 324 ◽  
Author(s):  
Zain Retas ◽  
Lokman Abdullah ◽  
Syed Najib Syed Salim ◽  
Zamberi Jamaludin ◽  
Nur Amira Anang
Keyword(s):  
Error Compensation ◽  
Tracking Error ◽  
Ball Screw ◽  
Driven System

Study of the route correction system for the on-board navigation system of an unmanned aerial vehicle on the grounds of radar images of the terrain

2020 ◽  
pp. 129-134
Keyword(s):  
Predictive Model ◽  
Unmanned Aerial Vehicle ◽  
Predictive Models ◽  
Navigation System ◽  
Error Compensation ◽  
Compensation Scheme ◽  
Radar Images ◽  
Aerial Vehicle ◽  
System Errors ◽  
Correction System

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.

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