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The measurement of instantaneous angular speed

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Li, Yuhua, Gu, Fengshou, Harris, Georgina, Ball, Andrew, Bennett, Nick and Travis, Ken (2005) The measurement of instantaneous angular speed. Mechanical Systems and Signal Processing, 19 (4). pp. 786-805. [Journal article]

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URL: http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6WN1-4CNJ93N-1&_user=126978&_coverDate=07%2F31%2F2005&_rdoc=7&_fmt=summary&_orig=browse&_srch=doc-info(%23toc%236949%232005%23999809995%23593762%23FLA%23display%23Volume)&_cdi=6949&_sort=d&_docanchor=&view=c&_ct=15&_acct=C000010438&_version=1&_urlVersion=0&_userid=126978&md5=c1a252e3ae0ab7a05df6f27c63f8bcf6

Abstract

Many different methods have been developed for the measurement of angular speed. Each successive method has attempted to improve measurement performance using a different strategy to process encoder signals based on two basic principles: counting the number of pulses in a given time duration and measuring the elapsed time for a single cycle of encoder signal. A review of existing methods reveals that little effort has been made in the measurement of instantaneous, multi-channel, wide-range angular speed. As a result, this paper aims to develop a method that provides instantaneous speed information in the form of angular displacement. It addresses the general process and considerations that ensure effective measurement of instantaneous angular speed (IAS). The paper then presents two different techniques: one is based on a general-purpose data acquisition system, another uses pure software implementation. Both methods aim to maximise the use of hardware resources without incurring additional costs in the form of upgrades to the measurement system. Finally, an optimisation of measurement system parameters for a reliable IAS measurement has been carried out based on measurement error analysis.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:8745
Deposited By:Dr Yuhua Li
Deposited On:03 Feb 2010 11:27
Last Modified:03 Feb 2010 11:27

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