Mezentsev N.V., Gejko G.V Identification parameters of traction induction motor of diesel train using genetic algorithms

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Abstract

Quality management system of asynchronous electric drive assumes knowledge of exact values of its parameters. However, some of the parameters (this applies mainly to the rotor axis) can not be directly obtained. This paper describes a mathematical algorithm based on which one can estimate the physical parameters of the traction induction motor by measuring the currents and voltages of the stator windings and the rotor speed. At the base of the algorithm is the mathematical model of an asynchronous traction drive with the limitations provided in the fixed reference frame (α, β, 0). An example of a mathematical model of the traction drive was given where the values, which could not be obtained directly, were excluded. Some parameters were determined using the method of least squares. To find the remaining parameters it was proposed to use a genetic algorithm. This approach can be used to construct an observer for the correction of the existing controls in the movement control system of traction rolling stock.

Keywords

Asynchronous traction drive, the method of least squares, genetic algorithm.

Mezentsev Nickolaj Viktorovich – Ph.D. (Eng.), Associate Professor, National Technical University "Kharkov Polytechnic Institute", Kharkov, Ukraine.

Gejko Gennadij Viktorovich – Assistant Professors, postgraduate student, National Technical University "Kharkov Polytechnic Institute", Kharkov, Ukraine. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

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