| Authors |
Brostilova Tat'yana Yur'evna, candidate of technical sciences, associate professor, sub-department of рower engineering and electrical engineering, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: tat-krupkina@yandex.ru
Goryachev Vladimir Yakovlevich, doctor of technical sciences, professor, sub-department of рower engineering and electrical engineering, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: gorvlad1@yandex.ru
Nefed'ev Dmitriy Ivanovich, doctor of technical sciences, professor, sub-department of information-measuring equipment and metrology, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: ndi200106@yandex.ru
Tikhomirova Anna Alekseevna, senior lecturer, sub-department of рower engineering and electrical engineering, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: an.tihomirova2013@yandex.ru
Abdirashev Omirzak Koptileuuly, master, senior lecturer, sub-department of space technic and technology, L. N.Gumilyov Eurasian National University (11 Kazhymukana street, Nur-Sultan, Kazakhstan), E-mail: omeke_92@mail.ru
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| Abstract |
Background. Currently, in the development of information and measurement systems (IIS) of mechanical quantities, insufficient attention is paid to the analysis of systematic error and the definition of requirements for the metrological characteristics of individual blocks of IIS and design parameters of primary converters. The article considers the solution of this problem. The object of the study is an information-measuring system of linear displacements based on a linear displacement sensor (SDL) with a traveling magnetic field intended for use in electric power systems. The aim of the work is to develop a methodology for analyzing the systematic error of the measuring system to determine the requirements for the metrological characteristics of its elements and design parameters of the SDL.
Materials and methods. A simulation model of the system is developed to solve the problem of forming requirements for the characteristics of elements and systems of linear displacements. The simulation model allows us to imagine the process of functioning of the information and measurement system as a whole. The simulation model is implemented in the form of a program in MatLAB, which allows one-factor and multi-factor experiments. As a result, experimental data are accumulated, data are processed and analyzed, and the necessary information is provided. To analyze the systematic error of the IIS, the decomposition of absolute errors from the action of individual factors into orthogonal components is used. We are talking about Fourier coefficients. The use of orthogonal multidimensional space makes it possible to determine the resulting systematic error of the system by the specified accuracy and design characteristics of the system elements or to form requirements for the characteristics of the elements of the system, in which the system will have a given systematic error.
Results. The method of analysis of systematic error of information-measuring system of linear displacements realized on the basis of SDL is offered. To obtain absolute errors from influencing factors, a simulation model of the information and measurement system in the form of a program in the Mat-LAB environment was developed. The proposed method gave positive results in the study of information-measuring system of linear displacements on the basis of SDL for electric power systems with the help of computer modeling.
Conclusions. When designing the information-measuring system of linear changes on the basis of SDL for electric power systems, it is possible to use the method of systematic error analysis to form requirements for the parameters and design characteristics of the system elements, in which the system will have a given systematic error. To implement this technique, it is recommended to use a simulation model.
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| Key words |
information-measuring system of linear displacements, simulation model, dispersion, orthogonal space, systematic error, linear displacement sensor, Fourier coefficients
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