Equipment for Quantitative Assessment of Control System Performance Using Pseudo-Random Binary Signals

Equipment for Quantitative Assessment of Control System Performance Using Pseudo-Random Binary Signals

The reasons for requiring an accurate prediction of control system performance under actual operating conditions are discussed. It is shown that a measure of the integral square error in response to a stationary time series disturbance meets most requirements. The analytical approach to calculating...

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Bibliographic Details
Main Authors: M. S. Beck MSc, CEng, MIEE, F. M. Dadachanji MSc.
Format: Article
Language:English
Published: SAGE Publishing 1968-07-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/002029406800100704
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spelling doaj-bf43aca2adc74ab2bdb870db6b78c2d52020-11-25T03:45:54ZengSAGE PublishingMeasurement + Control0020-29401968-07-01110.1177/002029406800100704Equipment for Quantitative Assessment of Control System Performance Using Pseudo-Random Binary SignalsM. S. Beck MSc, CEng, MIEE0F. M. Dadachanji MSc.1 School of Control Engineering, University of Bradford, Bradford 7 School of Control Engineering, University of Bradford, Bradford 7The reasons for requiring an accurate prediction of control system performance under actual operating conditions are discussed. It is shown that a measure of the integral square error in response to a stationary time series disturbance meets most requirements. The analytical approach to calculating integral square error is described and a specific example is given. Apparatus for generating the disturbance signal and measuring the integral square error is described. It is suitable for use with systems having a dominant time constant between one second and several hours. Experimental results for a pressure control system are compared with the theoretically predicted results. The disturbance generator can also be used for generating pseudo-random binary sequences.https://doi.org/10.1177/002029406800100704
collection DOAJ
language English
format Article
sources DOAJ
author M. S. Beck MSc, CEng, MIEE
F. M. Dadachanji MSc.
spellingShingle M. S. Beck MSc, CEng, MIEE
F. M. Dadachanji MSc.
Equipment for Quantitative Assessment of Control System Performance Using Pseudo-Random Binary Signals
Measurement + Control
author_facet M. S. Beck MSc, CEng, MIEE
F. M. Dadachanji MSc.
author_sort M. S. Beck MSc, CEng, MIEE
title Equipment for Quantitative Assessment of Control System Performance Using Pseudo-Random Binary Signals
title_short Equipment for Quantitative Assessment of Control System Performance Using Pseudo-Random Binary Signals
title_full Equipment for Quantitative Assessment of Control System Performance Using Pseudo-Random Binary Signals
title_fullStr Equipment for Quantitative Assessment of Control System Performance Using Pseudo-Random Binary Signals
title_full_unstemmed Equipment for Quantitative Assessment of Control System Performance Using Pseudo-Random Binary Signals
title_sort equipment for quantitative assessment of control system performance using pseudo-random binary signals
publisher SAGE Publishing
series Measurement + Control
issn 0020-2940
publishDate 1968-07-01
description The reasons for requiring an accurate prediction of control system performance under actual operating conditions are discussed. It is shown that a measure of the integral square error in response to a stationary time series disturbance meets most requirements. The analytical approach to calculating integral square error is described and a specific example is given. Apparatus for generating the disturbance signal and measuring the integral square error is described. It is suitable for use with systems having a dominant time constant between one second and several hours. Experimental results for a pressure control system are compared with the theoretically predicted results. The disturbance generator can also be used for generating pseudo-random binary sequences.
url https://doi.org/10.1177/002029406800100704
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