Alkhorshid, Y and Robertson, I orcid.org/0000-0003-1522-2071 (2017) Robotic flange system for active alignment of microwave, millimetre-wave and terahertz waveguides. In: 2016 46th European Microwave Conference (EuMC). 2016 46th European Microwave Conference (EuMC), 04-06 Oct 2016, London, UK. IEEE , pp. 1127-1130. ISBN 9781509015146
Abstract
This paper describes a computer vision based robotic waveguide flange alignment system that achieves improved repeatability of waveguide measurements. The proof-of-concept is demonstrated using WR-62 in the frequency band 12.40 GHz to 18 GHz. An Arduino board was used to interface a three-channel NTS NanoDirect XYZ positioner with MATLAB and its image acquisition toolbox. The measured results of a back-to-back adapter pair demonstrate significantly improved repeatability with the automated system compared with manual alignment. Through EM modelling of two WR-1.0 rectangular waveguides over the frequency range 800 GHz to 1 THz it is shown that this new method for enhancing measurement repeatability will be invaluable.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 EuMA. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | waveguides, measurement techniques, calibration |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Mar 2021 15:46 |
Last Modified: | 04 Mar 2021 15:46 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/eumc.2016.7824546 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156507 |