scholarly journals MODEL OF AN ADJUSTABLE ELECTROMAGNETIC GEARBOX WITH A THREE-PHASE STATOR WINDING IN THE STATE SPACE

Author(s):  
Alexander A. Afanasyev ◽  
Valeriy S. Genin ◽  
Vladimir A. Vatkin ◽  
Nadezhda N. Ivanova

A magnetic gearbox with a three-phase stator winding, powered by a static frequency converter with a sinusoidal current, which is in phase or in antiphase with the EMF of the idling winding, will have in this mode the maximum values ​​of the electromagnetic moments of the shafts proportional to the stator current. Such a gearbox will have no “overturning” of the rotors as long as the frequency converter is able to increase its current with increasing load. The electromagnetic moments of the rotors of the magnetic gear are a consequence of the presence of the electromagnetic moment of the stator. The electromagnetic moments of the rotors are rigidly related to the electromagnetic moment of the stator through constant coefficients. A mathematical model of an adjustable magnetic gearbox with a three-phase stator winding and the results of modeling a dynamic system are presented. Offers the structure of the output shaft speed stabilization system, such as a wind turbine. The introduction of the main research results is illustrated.

Vestnik MEI ◽  
2021 ◽  
pp. 69-74
Author(s):  
Muhammad Deeb ◽  
◽  
Gassan Ibragim ◽  
Talal Assaf ◽  
◽  
...  

The study addresses the problem of detecting a short circuit fault in the three-phase induction motor winding by monitoring the stator current Park vector (Lissajous curves). Park's vector model is implemented using the Matlab software package. The experimental part of the study was carried out on an 11 kW three-phase induction motor. The Lissajous curves obtained for a healthy motor and a motor with short-circuited turns under various load conditions were compared with each other. The obtained results have demonstrated the effectiveness of the proposed method for detecting interturn short circuit faults in the three-phase stator windings of induction motors.


2011 ◽  
Vol 60 (2) ◽  
pp. 137-148
Author(s):  
Igor Korotyeyev ◽  
Beata Zięba

Steady-state modelling method for matrix-reactance frequency converter with boost topologyThis paper presents a method intended for calculation of steady-state processes in AC/AC three-phase converters that are described by nonstationary periodical differential equations. The method is based on the extension of nonstationary differential equations and the use of Galerkin's method. The results of calculations are presented in the form of a double Fourier series. As an example, a three-phase matrix-reactance frequency converter (MRFC) with boost topology is considered and the results of computation are compared with a numerical method.


2019 ◽  
Vol 39 (12) ◽  
pp. 1008-1010
Author(s):  
V. V. Sleptsov ◽  
S. B. Savilkin ◽  
V. V. Osipov ◽  
S. V. Matsykin

Author(s):  
Ahmed Thamer Radhi ◽  
Wael Hussein Zayer

The paper deals with faults diagnosis method proposed to detect the inter-turn and turn to earth short circuit in stator winding of three-phase high-speed solid rotor induction motors. This method based on negative sequence current of motor and fuzzy neural network algorithm. On the basis of analysis of 2-D electromagnet field in the solid rotor the rotor impedance has been derived to develop the solid rotor induction motor equivalent circuit. The motor equivalent circuit is simulated by MATLAB software to study and record the data for training and testing the proposed diagnosis method. The numerical results of proposed approach are evaluated using simulation of a three-phase high-speed solid-rotor induction motor of two-pole, 140 Hz. The results of simulation shows that the proposed diagnosis method is fast and efficient for detecting inter-turn and turn to earth faults in stator winding of high-speed solid-rotor induction motors with different faults conditions


2021 ◽  
Vol 29 (3) ◽  
pp. 869-883
Author(s):  
Majid Hussain ◽  
Dileep Kumar Soother ◽  
Imtiaz Hussain Kalwar ◽  
Tayab Din Memon ◽  
Zubair Ahmed Memon ◽  
...  

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