Models of Measuring Signals in Automatized Control System

As a real way of estimating dynamic errors, the representation of measured signals as stationary random processes can be used. It is shown that the measured signals of petrochemical and chemical-technological processes can be described using a stochastic model that takes into account the random component according to the normal distribution and the harmonic component. This statement was subjected to verification based on the parameters of the petrochemical technological processes that were obtained as a result of measurements taken from the rectifying tower. The statistical parameters of the investigated processes were determined, and a correlation function was also drawn up. Hypotheses were tested on the stationary of the processes under study in accordance with their mathematical expectation and dispersion. The hypothesis of the random component of the proposed model was tested according to the normal distribution. t is proposed to use the apparatus of the theory of random processes to evaluate the accuracy characteristics of measuring transducers.