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Integral Methods for the Analysis of the Quality of Regulation of Technological Processes in an Automated Control System Based on a Hardware–Software Complex

https://doi.org/10.1134/S2304487X21040064

Abstract

   In modern control systems, the quality indicators of the control process are divided into direct and indirect. Direct quality indicators include properties determined by the transient characteristics of the system. Indirect quality indicators include root, frequency and integral indicators. The possibility of applying quadratic integral quality criteria for automatic control systems has been considered in this work. The analysis is carried out for the possibility and expediency of using such a criterion in digital control systems built based on software and hardware complexes using the principles of optimal control. To perform this analysis, an automatic control system with a classical proportional-integral regulator is considered. The function of calculating the instantaneous and integral quadratic and root-mean-square criteria of the desired controlled parameter from the real signal at the output of the control object has been added to the algorithm of this system. The criteria have been calculated throughout the entire transition process, as well as at each period of the controller call. Then, the results obtained are compared. The possibility of applying integral quality criteria in digital control systems built on the basis of software–hardware complexes has been demonstrated.

About the Authors

A. A. Ivanova
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

115409

Moscow



A. O. Tolokonskij
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

115409

Moscow



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For citations:


Ivanova A.A., Tolokonskij A.O. Integral Methods for the Analysis of the Quality of Regulation of Technological Processes in an Automated Control System Based on a Hardware–Software Complex. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2021;10(4):318-327. (In Russ.) https://doi.org/10.1134/S2304487X21040064

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