Methods of correction of current values of technological parameters in automated control systems
DOI:
https://doi.org/10.31498/2225-6733.51.2025.344904Keywords:
APCS, control object, identification, microcontroller, technological information input subsystemAbstract
The issue of organizing the collection and processing of technological information in an automated process control system (APCS) within the framework of its information subsystem operation is considered. The main tasks that arise during the development of software for the information subsystem are highlighted: determining the sensor polling time, selecting signal averaging methods, and selecting filtering algorithms. Based on the review of scientific articles, the current state of these issues has been assessed. The purpose of the study has been defined, the methods for solving the tasks have been described, and a physical prototype of a nominal technological object has been created. A system for collecting and processing analog signals has been implemented, and experiments have been conducted to measure technological parameters (temperature, air velocity) under various values of control actions. Algorithms for filtering and correcting analog signals have been selected. Methods for correcting temperature errors, accounting for the dynamics and magnitudes of control actions, have been established. A combination of filtering, correction, and mathematical modeling methods has been applied to create and test a digital twin of a technological unit with thermal and aerodynamic processes. The expediency of using a Kalman filter for rapidly changing parameters and a combination of a median filter and an aperiodic filter for slowly varying parameters has been demonstrated. The expediency of applying dynamic corrections that account for the rate of change of slowly varying parameters has also been demonstrated. An adaptive mathematical model with variable parameters, based on the range of control actions, has been developed in the form of a set of elementary links. The object parameters have been identified using the obtained experimental data; several variants of automatic control systems have been developed and tested; and the results of control system simulation have been analyzed
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