A Form-Wound Induction Machine Model for the Study of Three-Phase Surge Propagation

2010 ◽  
Vol 25 (1) ◽  
pp. 199-206 ◽  
Author(s):  
D. Clerici ◽  
F. Della Torre ◽  
A.P. Morando
2010 ◽  
Vol 7 (2) ◽  
pp. 1
Author(s):  
S. M. Allam ◽  
A. M. Azmy ◽  
M. A. El-Khazendar

 This paper presents a generalized model, by which the dynamic and steady-state behaviour of the Brushless Doubly-Fed Induction Machine (BDFIM) can be precisely predicted. The investigated doubly-fed machine has two sets of three-phase stator windings with different pole numbers. The rotor is a squirrel-cage type with a simple modification in order to support the two air-gap rotating fields that are produced by the stator windings and have different pole numbers. The machine model is derived in the qdo-axis variables. The qdoaxes are attached to rotor and hence, it rotates at the rotor speed (


Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 314 ◽  
Author(s):  
Daniel Gutierrez-Reina ◽  
Federico Barrero ◽  
Jose Riveros ◽  
Ignacio Gonzalez-Prieto ◽  
Sergio Toral ◽  
...  

Multiphase machines are complex multi-variable electro-mechanical systems that are receiving special attention from industry due to their better fault tolerance and power-per-phase splitting characteristics compared with conventional three-phase machines. Their utility and interest are restricted to the definition of high-performance controllers, which strongly depends on the knowledge of the electrical parameters used in the multiphase machine model. This work presents the proof-of-concept of a new method based on particle swarm optimization and standstill time-domain tests. This proposed method is tested to estimate the electrical parameters of a five-phase induction machine. A reduction of the estimation error higher than 2.5% is obtained compared with gradient-based approaches.


2015 ◽  
Vol 43 (14) ◽  
pp. 1610-1620 ◽  
Author(s):  
Daniel Foito ◽  
José Maia ◽  
V. Fernão Pires ◽  
João F. Martins

Author(s):  
Martin Marco Nell ◽  
Benedikt Groschup ◽  
Kay Hameyer

Purpose This paper aims to use a scaling approach to scale the solutions of a beforehand-simulated finite element (FE) solution of an induction machine (IM). The scaling procedure is coupled to an analytic three-node-lumped parameter thermal network (LPTN) model enabling the possibility to adjust the machine losses in the simulation to the actual calculated temperature. Design/methodology/approach The proposed scaling procedure of IMs allows the possibility to scale the solutions, particularly the losses, of a beforehand-performed FE simulation owing to temperature changes and therefore enables the possibility of a very general multiphysics approach by coupling the FE simulation results of the IM to a thermal model in a very fast and efficient way. The thermal capacities and resistances of the three-node thermal network model are parameterized by analytical formulations and an optimization procedure. For the parameterization of the model, temperature measurements of the IM operated in the 30-min short-time mode are used. Findings This approach allows an efficient calculation of the machine temperature under consideration of temperature-dependent losses. Using the proposed scaling procedure, the time to simulate the thermal behavior of an IM in a continuous operation mode is less than 5 s. The scaling procedure of IMs enables a rapid calculation of the thermal behavior using FE simulation data. Originality/value The approach uses a scaling procedure for the FE solutions of IMs, which results in the possibility to weakly couple a finite element method model and a LPTN model in a very efficient way.


2012 ◽  
Vol 59 (5) ◽  
pp. 2217-2226 ◽  
Author(s):  
B. B. Jensen ◽  
A. G. Jack ◽  
G. J. Atkinson ◽  
B. C. Mecrow

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