Modelling of transducers of nonsymmetrical signals of electrical nets

Siddikov, I. Kh.; Anarbaev, M.A.; Abdumalikov, A. A.; Abubakirov, A.B.; Maxsudov, M.T.; Xonturaev, I.M.

doi:10.1109/icisct47635.2019.9011981

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…A comparative analysis of the main characteristics of existing types of current converters showed that, despite the fact that contact converters do not require auxiliary sources of electricity, due to their relatively large weight and energy consumption and low operational reliability, they are used to supervising and supervising the reactive might of asynchronous motors, their It is not practical to use it as a current converter in supervising systems. [2].…”

Section: Methodsmentioning

confidence: 99%

Electromagnetic converter of reactive power and monitoring of high-voltage induction motors

Abubakirov,

Eshmuratov,

Esemuratova

et al. 2024

E3S Web of Conf.

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In this paper, the control and monitoring of reactive power in an over-voltage induction motor are elucidated through a comparative analysis of theoretical and practical research findings. These results are based on structural principles, research models, and the static, dynamic, metrological, and technical characteristics of three-phase electromagnetic current converters, evaluated against established criteria. The effectiveness of employing current converters with straightforward design, high sensitivity, speed, and reliability, along with simple switching elements that transform the primary input stator current into a secondary voltage output signal, is emphasized. Utilizing a graph model, the static characteristics of the stator current to secondary voltage converter, essential for regulating and monitoring the reactive power of an asynchronous motor, are delineated, and a research algorithm is developed.

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Section: Methodsmentioning

confidence: 99%

Electromagnetic converter of reactive power and monitoring of high-voltage induction motors

Abubakirov,

Eshmuratov,

Esemuratova

et al. 2024

E3S Web of Conf.

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“…In the graph model corresponding to the structure of the magnetic part of the sensor and reflecting the processes occurring in the part of the magnetic transformation, one can take KФμUэ = ᴡ2ч -Фμthe coefficient of the relationship between magnetic fluxes and Uechoutput voltages. values up to ᴡ2ч=1÷20 turns as needed [4][5][6].…”

Section: Methodsmentioning

confidence: 99%

“…When analyzing sources of errors that negatively affect the process of signal conversion, it is necessary to separate them into primary and secondary sources of errors based on the function of determining the accuracy of the sensor. It is known that the main sources of errors are identified under normal conditions of use of primary measuring-variable sensors [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Errors of sensors for conversion of multi-phase currents into voltage in power supply systems

Abubakirov

Sadikov²,

Ramazonov

et al. 2023

E3S Web Conf.

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The paper presents the structure of the sensor for converting multi-phase primary currents into secondary voltages of reactive power of power supply networks, the algorithm for modeling processes in the sensor that sends a signal to the primary current monitoring and control devices provides a highly formalized graph model based on an analytical expression, static characteristics and sensor errors studied on the basis of its analytic expression.

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“…The physical basis of electromagnetic transducer sensors is based on the force interaction of the measured current with auxiliary magnetic fields or ferromagnetic elements, they have a number of advantages such as simplicity of structure, high reliability, implementation of multiple limits, the ability to measure direct, alternating and impulse currents. For this reason, most of the industrial electro-magnetic current transformers operating at currents from 10 amperes to 5000 amperes are made on the basis of an electro-mechanical measuring mechanism [1,2].…”

Section: Introductionmentioning

confidence: 99%

Analysis of three-phase asymmetrical currents in the secondary voltage of signal change sensors in the power supply system using graph models

Abubakirov,

Kurbaniyazov,

Bekimbetov

2024

E3S Web of Conf.

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This article presents the principles of modeling three-phase asymmetrical currents in the form of secondary voltages of signal change sensors in the power supply system. The classical methods of signal transformation modeling do not provide the necessary accuracy due to the complexity in representing the interdependence between input and output quantities and parameters, as well as the difficulty in capturing the interchain dependencies and associated physical-technical effects. The analysis in this work focuses on the principles of signal transformation based on graph models, including the physical and technical effects of the three-phase primary current electromagnetic sensor that creates the interacting magnetic fields. The modifications to elements with nonlinear parameters and the values of the electric network currents in the power supply system during estimation have been considered as an object with concentrated parameters. In contrast to traditional single-phase current transformers, the complex transducing components, weight, and volume of the items are laborintensive when used in combined power measurement and control systems. They also do not provide the universality of the output value when interfacing with microprocessors and electronic technologies in intelligent systems.

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Modelling of transducers of nonsymmetrical signals of electrical nets

Cited by 7 publications

References 3 publications

Electromagnetic converter of reactive power and monitoring of high-voltage induction motors

Electromagnetic converter of reactive power and monitoring of high-voltage induction motors

Errors of sensors for conversion of multi-phase currents into voltage in power supply systems

Analysis of three-phase asymmetrical currents in the secondary voltage of signal change sensors in the power supply system using graph models

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