STRUCTURAL AND PARAMETRIC IDENTIFICATION OF DYNAMIC OBJECTS IN REAL TIME

• Main Authors: V. Ya. Kartashov, L. V. Kartashova, S. S. Samoilenko
• Format: Article
• Language: English
• Published: Kemerovo State University 2015-02-01
• Series: Вестник Кемеровского государственного университета
• Subjects: multi-frequency quantization, digital systems, sampling period, equivalence of discrete models
• Online Access: https://vestnik.kemsu.ru/jour/article/view/395

The urgency of the discussed: the problem of adaptive control of dynamic processes in real time is one of the main tasks of technical сybernetics. The existing works on digital adaptive control assume a generally rigid structure of this process. As a rule, only the parameters of the investigated process are subject to change. In practice, however, structural and parametric changes of dynamic processes are observed, the definition of the processes is not well developed at present, which is an actual problem for improving the quality and efficiency of digital adaptive control of technological processes. The research concerns management of continuous technological processes (metallurgy, chemical, gas etc.). The main aim of the study is to create the algorithmic solution of the problem of structurally-parametric identification of linear dynamic objects in real time on discrete observations. The methods used in the study: structural and parametric identification based on the principles of multi-frequency quantization, equivalence, consistent z-transform. The results: the algorithm and its advantages for solving the problem of structural parametric identification of linear dynamic objects in real time on discrete observations were defined. An example of the algorithm considering an a periodic object of the first order is provided. The reliability of the results is ensured by rigorous application of mathematical methods and numerical simulation of the theoretical results.