Brushless self-excited single-phase synchronous generator using wound rotor type three-phase induction machine

1981 ◽  
Vol 101 (6) ◽  
pp. 109-116 ◽  
Author(s):  
Sakutaro Nonaka ◽  
Katsumi Kesamary
Keyword(s):  
Single Phase ◽  
Induction Machine ◽  
Synchronous Generator ◽  
Three Phase ◽  
Rotor Type

Steady-State and Dynamic Behavior of a Single-Phase Self-Excited Induction Generator Using a Three-Phase Machine

2007 ◽  
Vol 8 (3) ◽  
Author(s):  
S. N. Mahato ◽  
M. P. Sharma ◽  
S. P. Singh
Keyword(s):  
Steady State ◽  
Reference Frame ◽  
Single Phase ◽  
Short Circuit ◽  
Induction Machine ◽  
Transient Behavior ◽  
Experimental Results ◽  
Induction Generator ◽  
State Variables ◽  
Three Phase

This paper presents the steady-state and transient behavior of a single-phase self-excited induction generator (SEIG) using a three-phase machine with one shunt and one series excitation capacitors for resistive and inductive loads. The generation scheme consists of one three-phase delta connected induction machine and two capacitors - one connected in parallel with one winding and the other in series with a single-phase load. The dynamic model of the system has been developed as a hybrid model considering the stator phase currents in abc reference frame and the rotor currents in stationary d-q axes reference frame as state variables. The simulated and experimental results are presented for different dynamic conditions such as initiation of self-excitation, load perturbation and short-circuit. The simulated results of the steady-state analysis have been compared with the transient and experimental results and a close agreement between them indicates the accuracy and effectiveness of the approach.

scholarly journals Stator inter-turn fault detection of an induction motor using neuro-fuzzy techniques

2010 ◽  
Vol 20 (3) ◽  
pp. 363-376 ◽  
Author(s):  
Rudra Dash ◽  
Bidyadhar Subudhi
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Fault Location ◽  
Single Phase ◽  
Fuzzy Inference ◽  
Induction Machine ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Three Phase ◽  
Fuzzy Techniques

Stator inter-turn fault detection of an induction motor using neuro-fuzzy techniquesMotivated by the superior performances of neural networks and neuro-fuzzy approaches to fault detection of a single phase induction motor, this paper studies the applicability these two approaches for detection of stator inter-turn faults in a three phase induction motor. Firstly, the paper develops an adaptive neural fuzzy inference system (ANFIS) detection strategy and then compares its performance with that of using a multi layer perceptron neural network (MLP NN) applied to stator inter-turn fault detection of a three phase induction motor. The fault location process is based on the monitoring the three phase shifts between the line current and the phase voltage of the induction machine.

Electromagnetic Induced Force Study in the Magnetoelectric Generator Winding

2015 ◽  
Vol 792 ◽  
pp. 3-7
Author(s):  
Aleksandr Tatevosyan ◽  
Andrey Tatevosyan ◽  
Valeriya Fokina
Keyword(s):  
Decision Making ◽  
Permanent Magnets ◽  
Frequency Converter ◽  
Induction Machine ◽  
Synchronous Generator ◽  
Load Resistance ◽  
Electrical Network ◽  
Synchronous Generators ◽  
Three Phase ◽  
Theoretical Foundations

The paper considers the study of the electromagnetic force (EMF) of a synchronous generator based on the three-phase induction machine. The stand includes: a frequency converter, an induction motor, a synchronous generator, a three-phase rectifier, an active load resistance, power protection and inclusion industrial electrical network. The study provides an analytical solution to one of the main objectives within theoretical foundations of electrical engineering, formulated so to reflect the decision making while designing new types of synchronous generators with permanent magnets.

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