DEVELOPMENT OF AN ALGORITHM FOR INCREASING THE INTERFERENCE IMMUNITY OF THE MEASURING SYSTEM TAKEN INTO ACCOUNT OF THE INFLUENCE OF FLICKER NOISE
Abstract
The creation of high-speed and noise-proof measuring systems intended for use and ensuring deep integration with digital automated process control systems is achieved only with the use of microprocessor-based intelligent information processing tools in measuring transducers. Methods of digital signal processing in control and monitoring systems are relevant today and are largely replacing classical analog methods. This article discusses the main methods of digital filter algorithmization. The main characteristics and properties of interference, determined by the operating modes and frequency spectrum of the devices used, and algorithmic methods for their elimination are systematized.
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List of references
Yusupbekov N R, Abdurasulov F, Adilov F and Ivanyan A 2020 Application of advanced process
control technologies for optimization of polymers production processes Advances in Intelligent Systems
and Computing 1095 AISC
Yusupbekov N R, Adilov F and Ergashev F 2017 Development and improvement of systems of
automation and management of technological processes and manufactures Journal of Automation, Mobile
Robotics and Intelligent Systems 11(3) DOI: 10.14313/JAMRIS_3- 2017/28
Yusupbekov N R, Gulyamov S M, Usmanova N B and Mirzaev D A 2017 Challenging the ways to
determine the faults in software: Technique based on associative interconnections Procedia Computer
Science 120 DOI: 10.S1016/j.procs. 2017.11.290
Igamberdiev H Z and Botirov T V 2021 Algorithms for the Synthesis of a Neural Network
Regulator for Control of Dynamic Advances in Intelligent Systems and Computing 1323 AISC 460-5
Jumaev O A, Ismoilov M T, Mahmudov G B and Shermurodova M F 2020 Algorithmic methods of
increasing the accuracy of analog blocks of measuring systems J. Phys.: Conf. Ser. 1515 052040
Ibadullaev, M.,Tovbaev, A.N., Research of Ferropesonance Oscillations at the Frequency of
Subharmonics in Three-Phase Non-Linear Electric Circuits and Systems// Rudenko International
Conference on Methodological Problems in Reliability Study of Large Energy Systems, RSES 2020;
Kazan; Russian Federation; 21-26 September 2020. Scopus: E3S Web of Conferences Volume 216, 14
December 2020,
Botirov T V, Buranov B M and Latipov Sh B 2020 About one synthesis method for adaptive control
systems with reference models Journal of Physics: Conference Series 1515(2) 022078
Jumaev O A , Sayfulin R R, Samadov A R, Arziyev E I and Jumaboyev E O 2020 Digital control
systems for asynchronous electrical drives with vector control principle IOP Conf. Ser.: Mater. Sci. Eng.
032054
Kalandarov I. (2022) Development of Mathematical Models of Problems of Management the
Production Division with a Discrete Unit Type Production. In: Shamtsyan M., Pasetti M., Beskopylny A.
(eds) Robotics, Machinery and Engineering Technology for Precision Agriculture. Smart Innovation,
Systems and Technologies, vol 247. Springer, Singapore. https://doi.org/10.1007/978-981-16-3844-2_52
Kalandarov I. (2022) Algorithm for the Problem of Loading Production Capacities in Production
Systems. In: Beskopylny A., Shamtsyan M. (eds) XIV International Scientific Conference
“INTERAGROMASH 2021". Lecture Notes in Networks and Systems, vol 246. Springer, Cham.
https://doi.org/10.1007/978-3-030-81619-3_99
Jumaev O A , Sayfulin R R, Ismoilov M T and Mahmudov G B 2020 Methods and algorithms for
investigating noise and errors in the intelligent measuring channel of control systems J. Phys.: Conf. Ser.
052018
Jumaev O A, Nazarov J T, Mahmudov G B, Ismoilov M T and Shermuradova M F 2021 Intelligent
control systems using algorithms of the entropie potential method J. Phys.: Conf. Ser. 2094 022030
Qarshibaev, A. I. ; Narzullaev, B. Sh ; Murodov, H. Sh Models and methods of optimization of
electricity consumption control in industrial enterprises Journal of Physics: Conference Series, Volume
, Issue 2, article id (2020). 165245. 022074. https://doi.org/10.1088/1742-6596/1679/2/022074
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