R. McWilliam
Modelling the Positional and Orientation Sensitivity of Proximity Sensors.
McWilliam, R.; Khan, S.; Purvis, A.
Authors
Contributors
David Al-Dabass
Editor
Alessandra Orsoni
Editor
Richard Cant
Editor
Glenn Jenkins
Editor
Abstract
This paper presents an analysis of robust proximity sensor interfaces for Industrial Internet of Things applications. A Model is presented with the aim of maximizing the range and freedom of orientation of passive sensing and communications devices in comparison to traditional source-sensor technologies. A matrix transformation approach is used to model the quality of mutual coupling between triaxial source and sensor coil arrangements for arbitrary relative position and angular rotation. Particular attention is paid to the recombination of triaxial sensor outputs and optimal rotation for maximal coverage given a specified coupling threshold. The model is useful for determining practical source-sensor configurations that achieve optimal coverage when the sensor position and rotation is restricted by the industrial application.
Citation
McWilliam, R., Khan, S., & Purvis, A. (2016). Modelling the Positional and Orientation Sensitivity of Proximity Sensors. In D. Al-Dabass, A. Orsoni, R. Cant, & G. Jenkins (Eds.), 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim): Cambridge, United Kingdom, 6 - 8 April 2016 ; Proceedings (355-360). https://doi.org/10.1109/uksim.2016.11
Conference Name | 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim) |
---|---|
Conference Location | Cambridge |
Acceptance Date | Mar 9, 2016 |
Online Publication Date | Dec 26, 2016 |
Publication Date | 2016 |
Deposit Date | Apr 11, 2016 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 355-360 |
Book Title | 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim): Cambridge, United Kingdom, 6 - 8 April 2016 ; Proceedings |
DOI | https://doi.org/10.1109/uksim.2016.11 |
Public URL | https://durham-repository.worktribe.com/output/1152005 |
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