Machine vision system errors for unmanned aerial vehicle navigation
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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.
| Originalsprache | Englisch | 
|---|---|
| Titel | Proceedings : 2017 IEEE International Symposium on Industrial Electronics (ISIE) | 
| Anzahl der Seiten | 6 | 
| Verlag | IEEE - Institute of Electrical and Electronics Engineers Inc. | 
| Erscheinungsdatum | 03.08.2017 | 
| Seiten | 1615-1620 | 
| ISBN (elektronisch) | 978-1-5090-1412-5 | 
| DOIs | |
| Publikationsstatus | Erschienen - 03.08.2017 | 
| Veranstaltung | International Symposium on Industrial Electronics - ISIE 2017 - Edinburgh, Großbritannien / Vereinigtes Königreich Dauer: 19.06.2017 → 21.06.2017 Konferenznummer: 26 http://www.isie2017.org/ | 
- Ingenieurwissenschaften
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- Machine vision system errors for unmanned aerial vehicle navigation- Aktivität: Vorträge und Gastvorlesungen › Konferenzvorträge › Forschung 
