Online estimation and analysis of equivalent circuit parameters of three phase induction motor using particle swarm optimization

2016 ◽  
Author(s):  
Diptarshi Bhowmick ◽  
Mithun Manna ◽  
Suparna Kar Chowdhury
Keyword(s):  
Particle Swarm Optimization ◽  
Equivalent Circuit ◽  
Induction Motor ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Online Estimation ◽  
Three Phase ◽  
Equivalent Circuit Parameters

scholarly journals Particle Swarm Optimization Based Equivalent Circuit Estimation for On-Service Three-Phase Induction Motor Efficiency Assessment

2017 ◽  
Vol 21 (6) ◽  
pp. 101-110
Author(s):  
Keerati Chayakulkheeree ◽  
Vichakorn Hengsritawat ◽  
Petch Nantivatana
Keyword(s):  
Particle Swarm Optimization ◽  
Equivalent Circuit ◽  
Induction Motor ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Efficiency Assessment ◽  
Motor Efficiency ◽  
Three Phase

scholarly journals Economic Design of Three-Phase Induction Motor by Particle Swarm Optimization

2010 ◽  
Vol 02 (05) ◽  
pp. 301-310 ◽  
Author(s):  
Vadugapalayam P. Sakthivel ◽  
Ramachandran Bhuvaneswari ◽  
Srikrishna Subramanian
Keyword(s):  
Particle Swarm Optimization ◽  
Induction Motor ◽  
Particle Swarm ◽  
Economic Design ◽  
Swarm Optimization ◽  
Three Phase

On-site efficiency evaluation of three-phase induction motor based on particle swarm optimization

Energy ◽  
2011 ◽  
Vol 36 (3) ◽  
pp. 1713-1720 ◽  
Author(s):  
V.P. Sakthivel ◽  
S. Subramanian
Keyword(s):  
Particle Swarm Optimization ◽  
Induction Motor ◽  
Particle Swarm ◽  
Efficiency Evaluation ◽  
Swarm Optimization ◽  
Three Phase

scholarly journals Parameter Estimation of Three-Phase Induction Motor Using Hybrid of Genetic Algorithm and Particle Swarm Optimization

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Hamid Reza Mohammadi ◽  
Ali Akhavan
Keyword(s):  
Genetic Algorithm ◽  
Parameter Estimation ◽  
Particle Swarm Optimization ◽  
Steady State ◽  
Equivalent Circuit ◽  
Induction Motor ◽  
Particle Swarm ◽  
Circuit Parameter ◽  
Swarm Optimization ◽  
Full Load

A cost effective off-line method for equivalent circuit parameter estimation of an induction motor using hybrid of genetic algorithm and particle swarm optimization (HGAPSO) is proposed. The HGAPSO inherits the advantages of both genetic algorithm (GA) and particle swarm optimization (PSO). The parameter estimation methodology describes a method for estimating the steady-state equivalent circuit parameters from the motor performance characteristics, which is normally available from the nameplate data or experimental tests. In this paper, the problem formulation uses the starting torque, the full load torque, the maximum torque, and the full load power factor which are normally available from the manufacturer data. The proposed method is used to estimate the stator and rotor resistances, the stator and rotor leakage reactances, and the magnetizing reactance in the steady-state equivalent circuit. The optimization problem is formulated to minimize an objective function containing the error between the estimated and the manufacturer data. The validity of the proposed method is demonstrated for a preset model of induction motor in MATLAB/Simulink. Also, the performance evaluation of the proposed method is carried out by comparison between the results of the HGAPSO, GA, and PSO.

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