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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
1968-07-01
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Series: | Measurement + Control |
Online Access: | https://doi.org/10.1177/002029406800100704 |
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. |
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ISSN: | 0020-2940 |