Calculation of load characteristics of DC Traction motors according to microprocessor control and Diagnostic systems
https://doi.org/10.46973/0201-727X_2023_2_124
Abstract
The actual load characteristics of the traction electric motors of a locomotive with electric power transmission according to microprocessor control systems are necessary to clarify the real traction characteristics of locomotives when performing operational traction calculations. The methods of the theory of electrical machines, statistical processing and regression analysis of experimental data were used in the work. Based on the statistical analysis of the registration data of the on-board diagnostics subsystem of 20 sections of diesel locomotives 2TE116U and TEP70BS, a method for determining the actual load characteristics of traction motors is proposed and justified. The results obtained allow us to refine the parameters of the traction characteristics of the locomotive and can be used when performing operational traction calculations.
About the Authors
D. N. Kurilkin
Emperor Alexander I St. Petersburg State Transport University
Russian Federation
Russian Federation
Kurilkin Dmitry Nikolayevich - Chair «Locomotives and Locomotive Facility», Candidate of Engineering Sciences, Associate Professor, Head of the Chair
V. V. Grachev
Emperor Alexander I St. Petersburg State Transport University
Russian Federation
Russian Federation
Grachev Vladimir Vasilievich - Chair «Locomotives and Locomotive Facility», Doctor of Engineering Sciences, Associate Professor
V. F. Tanaev
Moscow Railway – Branch of JSC «Russian Railways»
Russian Federation
Russian Federation
Tanaev Valery Faritovich - Head of the Moscow Railway – Branch of JSC «Russian Railways»
References
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Review
For citations:
Kurilkin D.N., Grachev V.V., Tanaev V.F. Calculation of load characteristics of DC Traction motors according to microprocessor control and Diagnostic systems. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2023;(2):124-131. (In Russ.) https://doi.org/10.46973/0201-727X_2023_2_124
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