Machine vision system errors for unmanned aerial vehicle navigation
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
The use of laser scanners as machine vision systems in Unmanned Aerial Vehicle (UAV) navigation offers a wide range of advantages, when compared with camera-based systems. As one advantage, the measurement of real physical distances can be mentioned, which results in a reduction of measurement times and thereby fast image processing of the UAV surrounding medium. In previous work, a novel laser scanner namely Technical Vision System (TVS) was presented, which implements a continuous laser scan for determination of 3D coordinates of any object under observation. Also previous work has shown the advantage, when using high-quality instead of low-quality DC motors as actuators for positioning the laser ray in the TVS field-of-view. However, the static friction in the ball bearings of the motor shaft leads to a residual error not zero for the angular error in steady state. Present paper introduces a new approach of estimating this residual error by use of a friction model. Thereby, the friction model is described and used for simulation of the residual angular error when controlling the DC motor in open-loop configuration and validated by experimentation results.
Original language | English |
---|---|
Title of host publication | Proceedings : 2017 IEEE International Symposium on Industrial Electronics (ISIE) |
Number of pages | 6 |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Publication date | 03.08.2017 |
Pages | 1615-1620 |
ISBN (electronic) | 978-1-5090-1412-5 |
DOIs | |
Publication status | Published - 03.08.2017 |
Event | International Symposium on Industrial Electronics - ISIE 2017 - Edinburgh, United Kingdom Duration: 19.06.2017 → 21.06.2017 Conference number: 26 http://www.isie2017.org/ |
Bibliographical note
ISSN 2163-5145
- Engineering