scholarly journals Modeling of Processes When the Pantograph of a Shaft Electric Locomotive with a Frequency Electric Drive Is Disconnected

2019 ◽  
Vol 24 (2) ◽  
pp. 64-67
Author(s):  
Dmytro O. Kalmus ◽  
Vladyslav O. Fedotov ◽  
Albert Borysovych Somochkyn ◽  
Svitlana V. Somochkyna ◽  
Oleh M. Sinchuk
Author(s):  
Artem Artemenko ◽  
Oleksii Chornyi ◽  
Valeriy Sydorenko ◽  
Serhii Serhiienko ◽  
Yurii Zachepa ◽  
...  

The paper deals with the problem of the assessment of the functionality of the multi-motor direct current traction electric drive of the quarry electric locomotive. The problem of the failure of electric drive motors because of extremely unsatisfactory state of the rail tracks and the wear of wheel pairs is analyzed. Taking into account the number of the existing repaired electric motors the probability of fitting up the traction electric drive with the electric motors with the widest electrical parameters variety is determined.


Author(s):  
Vasyl Stopkin ◽  
Valeriy Kuznetsov ◽  
Vitaliy Kuznetsov ◽  
Anatoliy Nikolenko ◽  
Mvkola Babyak ◽  
...  

2020 ◽  
Vol 4 (52) ◽  
pp. 27-32
Author(s):  
A. Artemenko ◽  
◽  
O. Chornyi ◽  

Purpose. The purpose of the work is to conduct experimental studies to determine the parameters of DC motors of sequential excitation in dynamic modes of operation for use in setting up the control system of the electric drive. The paper presents the results of experimental studies to determine the parameters of the traction electric drive of direct current quarry electric locomotive. The research was conducted on the basis of Kremenchuk Mykhailo Ostrohradskyi National University with the use of a laboratory research stand with electromechanical equipment that simulates the operation of a traction drive, namely slippage of traction wheels when changing clutch conditions and differences in electrical parameters of traction motors. Methodology. The parameters were determined on the basis of a set of methods based on the measured instantaneous values of the state variables of the electric drive. The efficiency of application of the method of state space and the method which uses instantaneous values of current and voltage of the motor in the quasi-constant mode at power supply from the valve energy converter is proved. Results. The results obtained in the course of research indicate the possibility of calculating the parameters with an accuracy of 10 %. The verification of the obtained results is checked by subtracting the coefficient of determination and the sum of the squares of the deviations for the experimental data calculated on the basis of certain parameters. Originality. The accuracy of parameter determination is ensured by the use of instantaneous values of current and voltage at adjacent time intervals, and the voltage at the armature is formed by the control system and changes over time, ensuring the start of the motor with starting current limitation. Practical value. The developed computerized laboratory stand allows to measure instantaneous values of state variables and to carry out calculations of electric parameters of traction engines, and also to investigate static, power and dynamic operating modes of electromechanical transmissions of vehicles, both in regular operating modes, and to simulate various emergency operating modes, in particular. Figures 5, tables 2, references 7.


2022 ◽  
Vol 1211 (1) ◽  
pp. 012004
Author(s):  
V N Antipov ◽  
A D Grozov ◽  
A V Ivanova

Abstract The paper deals with the development and simulation results of the switched reluctance motor for electric drive of mine battery electric locomotives instead of the DRT-14 DC motor. The switched reluctance motor parameters are obtained based on numerical calculation of the magnetic field by QuickField program and are embedded in MATLAB/Simulink model of a switched reluctance motor created for 8/6 magnetic system configuration. SRM-14-615 has the mechanical characteristics as DC motor DRT-14 and meets the required operating modes as part of the AM8D mine battery electric locomotive. Also two types of models using methods and techniques of the artificial intelligence theory are presented: a model with a fuzzy control system in the Fuzzy Logic Toolbox package and a model with a neural network control system in the Neural Network Toolbox package.


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