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

Abstract

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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