Measurement and Control

Chestnut, Harold

doi: 10.1177/002029406800100703pmid: N/A

Beck, M. S.; Dadachanji, F. M.

doi: 10.1177/002029406800100704pmid: N/A

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.

Bell, D. A.

doi: 10.1177/002029406800100701pmid: N/A

The science of communication was pursued in mathematical form much earlier than the science of control, since the former can be traced back at least to the mid nineteenth century when Kelvin solved the differential equation of the propagation of an electric signal along a cable of negligible inductance; and in the first quarter of the nineteenth century a number of well-known applied mathematicians (for example, Heaviside, Carson, Sobel, Nyquist) were associated with telecommunications. Moreover, Shannon's elaboration and consolidation of the mathematical theory of communication came before the major developments in automatic control. It is therefore profitable to examine whether any of the theorems or techniques which have been developed in connection with telecommunications can be applied to problems in automatic control.

Parks, P. C.; Pyatt, F. G.

doi: 10.1177/002029406800100702pmid: N/A