scholarly journals Optimization of Induction Motor Equivalent Circuit Parameter Estimation Based on Manufacturer’s Data

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1792 ◽  
Author(s):  
Saleh Al-Jufout ◽  
Wasseem Al-rousan ◽  
Caisheng Wang
Keyword(s):  
Parameter Estimation ◽  
Equivalent Circuit ◽  
Induction Motor ◽  
Circuit Parameter ◽  
Equivalent Circuit Parameter

scholarly journals Equivalent Circuit Parameter Calculations and Characteristics Analysis of 2-DoF Direct Drive Induction Motor with a Slotted Solid Rotor

2019 ◽  
Vol 9 (11) ◽  
pp. 2191
Author(s):  
Haichao Feng ◽  
Jikai Si ◽  
Wei Wu ◽  
Lianghui Dong ◽  
Zhiping Cheng
Keyword(s):  
Equivalent Circuit ◽  
Induction Motor ◽  
Equivalent Circuit Model ◽  
Circuit Diagram ◽  
Circuit Parameter ◽  
Direct Drive ◽  
Characteristics Analysis ◽  
Cage Rotor ◽  
Two Degree Of Freedom ◽  
Equivalent Circuit Parameter

In this paper, a modified equivalent circuit model (ECM), which considers the effects of an arc-shaped stator structure and saturation, is presented to calculate the characteristics of a two-degree-of-freedom direct drive induction motor (2DoFDDIM). The motor has a novel slotted solid rotor (SSR), which is slotted along the axial and circumferential directions, and copper is cast in the slots. The SSR is equivalent to a cage rotor by analyzing the current distribution using the circuit diagram. The corrected ECM parameter expressions of a cage rotor are proposed to calculate the SSR parameters. The characteristics obtained by ECM and finite element method are compared to verify the accuracy of the modified ECM. This paper provides reference for calculating the parameters of the induction motor with SSR.

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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