Comparative analysis of hardware and software of the monitoring method of fun ctioning electromechanical DC converters

Author:

Malev N. A.1,Mukhametshin A. I.1,Pogoditsky O. V.1,Chichkov P. V.2

Affiliation:

1. Kazan State Power Engineering University

2. JSC «Kazan Giproniiaviaprom»

Abstract

THE PURPOSE. The task of analysis and monitoring of the functioning of electromechanical converters in transient and static modes is relevant at the design and operation stages. Software products for recording and processing measurement information, as well as for performing the necessary technical calculations, such as LabView, MatLab Simulink and others, offer great opportunities for solving the task and allow obtaining reliable results. METHODS. The study of electromechanical DC converters with built-in tachogenerators carried out, the measurement and fixing of the output coordinates of which is provided by experimental sets of various configuration with subsequent processing of the results of functional monitoring using application programs. RESULTS. The developed experimental sets differ in the composition and cost of hardware, the need to use one or another software support, the form of presenting the results of monitoring the functioning of research objects and the accuracy of the results. CONCLUSION. The present study aimed at a comparative analysis of two experimental sets. These sets allow obtaining mathematical models of electromechanical DC converters necessary for the implementation of the monitoring method of the function ing. The analysis performed from the point of view of material costs for hardware and software, the processing time of the experimental results and the correspondence of the obtained results to the required accuracy of the formation of mathematical models.

Publisher

Kazan State Power Engineering University

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

Reference21 articles.

1. Malev NA, Mukhametshin AI, Pogoditsky OV, et al. Experimental-analytical identification of a mathematical model of a dc motor using the least squares method. Power engineering: research, equipment, technology. 2019;21(4):113-122.

2. Malev NA, Pogoditsky OV, Lyubarchuk FN. Analysis of changes in the parameters of an asynchronous motor by a linear integral criterion using a reference model . Bulletin of KSPEU. 2019;1:60-67.

3. Malev NA, Mukhametshin AI, Pogoditsky OV, et al. Method of analysis and monitoring of the electromechanical converters parameters based on a linear integral criterion using sensitivity models. International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019). V. 124.

4. Saushev AV, Shirokov NV. Diagnosis of the state of electrical systems in the space of parameters of their elements. Bulletin of the SUSRF after admiral S.O. Makarov. 2016;2 (36):143-156.

5. Frisk E, Krysander M and. Jung D. A toolbox for analysis and design of model based diagnosis systems for large scale model. IFAC-PapersOnLine. 2017;50(1):3287–3293.

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