Efficiency and Cost Optimization of Three-ϕ Induction Motor Using Soft Computing Techniques

2020 ◽  
pp. 305-318
Author(s):  
Niraj Kumar Shukla ◽  
Shashi Kant Pandey ◽  
Rajeev Srivastava
Keyword(s):  
Induction Motor ◽  
Soft Computing ◽  
Cost Optimization ◽  
Soft Computing Techniques

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.

Cost optimization of high strength concretes by soft computing techniques

2010 ◽  
Vol 7 (3) ◽  
pp. 221-237 ◽  
Author(s):  
Erdogan Ozbay ◽  
Ahmet Oztas ◽  
Adil Baykasoglu
Keyword(s):  
Soft Computing ◽  
Cost Optimization ◽  
High Strength ◽  
Soft Computing Techniques

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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