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
Description
Summary: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.
ISSN:0020-2940