Application of Soft Computing Techniques in Power Engineering

2016 ◽  
pp. 354-364
Author(s):  
Vivek Venkobarao
Keyword(s):  
Induction Motor ◽  
Prior Knowledge ◽  
Soft Computing ◽  
Applied Voltage ◽  
Air Gap ◽  
Switching Frequency ◽  
Submersible Pump ◽  
Motor Speed ◽  
Soft Computing Techniques ◽  
Voltage Frequency

A discharge estimator is designed and analyzed in this chapter to estimate the discharge with voltage, frequency and current without prior knowledge of head. A control of discharge in submersible pump is achieved by varying the motor speed. In VSI fed induction motor the speed is varied by varying the switching frequency. The ratio of frequency to the applied voltage is maintained constant, to keep the air gap flux at a desired value. The development of discharge estimator, PID and Fuzzy controllers are discussed in this chapter.

scholarly journals Economic design of sleeve rotor induction motor using rotor ends

2022 ◽  
Vol 12 (2) ◽  
pp. 1233
Author(s):  
Omar S. Daif ◽  
M. Helmy Abd El-Raouf ◽  
Mohamed Adel Esmaeel ◽  
Abd Elsamie B. Kotb
Keyword(s):  
Induction Motor ◽  
Flux Density ◽  
Current Density ◽  
Axial Direction ◽  
Air Gap ◽  
Field Analysis ◽  
Force Density ◽  
Motor Speed ◽  
Field Equations ◽  
Equivalent Circuit Parameters

<span>In this paper, the field analysis of the sleeve rotor induction motor (IM) is carried out taking the rotor ends into consideration. Here, the field system equations are derived using the cylindrical model with applying Maxwell's field equations. It is expected that, both starting and maximum torques will increase with taking the rotor ends than that without rotor ends. A simple model is used to establish the geometry of the rotor ends current density and to investigate the air gap flux density. The magnetic flux is assumed to remain radially constant through the very small air gap length between the sleeve and stator surfaces. Variation of the field in the radial direction is ignored and the skin effect in the axial direction is considered. The axial distributions of the air gap flux density, the sleeve current density components and the force density have been determined. The motor performance is carried out taking into account the effects of the rotor ends on the starting and normal operations. The sleeve rotor resistance and leakage reactance have been obtained in terms of the cylindrical geometry of the machine. These equivalent circuit parameters have been calculated and plotted as functions of the motor speed with and without the rotor ends.</span>

Soft Computing Techniques for Identification of an Asynchronous Machine Parameters

2014 ◽  
Vol 626 ◽  
pp. 155-163
Author(s):  
R. Sridevi ◽  
C. Kumar ◽  
N. Iswarya ◽  
R. Gopikaramanan
Keyword(s):  
Genetic Algorithm ◽  
Parameter Estimation ◽  
Particle Swarm Optimization ◽  
Induction Motor ◽  
Soft Computing ◽  
Load Test ◽  
Artificial Immune ◽  
Swarm Optimization ◽  
Soft Computing Techniques ◽  
Equivalent Circuit Parameters

This manuscript discusses about the Parameter estimation of Induction motor by utilizing the soft computing methodologies that is by using evolutionary algorithms such as Genetic algorithm, Particle swarm optimization, Artificial immune algorithm to overcome the difficulties in the conventional method where we calculating the per phase equivalent circuit parameters from the No load test and Blocked rotor test which compromises in result in terms of accuracy of the result and also evaluated the accuracy of the different algorithm in estimating the parameters of the induction motor.

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