**Estimation of Induction Motor Parameters Based on**

Field Test Coupled with Genetic Algorithm

Field Test Coupled with Genetic Algorithm

**Abstract**

This paper proposed a technique for estimating the

parameters of three-phase induction motor in order to conduct

on-site energy audits of existing motors, which are then used to

project a cost savings. This proposed technique uses only a few

sets of data (voltage, current, speed, power factor or torque if

possible) from the field test of motor (on-site), instead of the noload

and blocked rotor tests, coupled with the genetic algorithm

for evaluating the equivalent circuit parameters. Once these

parameters are known it is possible to obtain the operating

performances (50-100%) of the motor such as efficiency, current,

torque. This technique could be suitable for the general purpose

drive applications when the motor cannot operate at no-load

since its shaft is permanently connected to its load. To illustrate

how well the performances of the estimated model matches that

of the actual motor obtained from load test, the results of 3 HP

and 5 HP induction motors will be presented and compared.

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**A SIMPLE APPROACH TO INDUCTION MACHINE**

PARAMETER ESTIMATION

PARAMETER ESTIMATION

**Abstract**

The paper deals with a simple estimation procedure of the

squirrel-cage induction motor parameters, like resistances and

inductances, considering the data from the machine nameplate.

First is presented the analytical calculation according to the

conventional steady-state per-phase equivalent circuit, neglecting

the ironcore losses. The magnitude of stator-, air-gap and rotor

fluxes, required as references by field-controlled scalar and vector

control systems, are also determined. For validation of the identified

parameters there are presented two simulation structures containing

the motor dynamic d-q model, based on the state equations related to

a stator-fixed and to a general oriented reference frame.

The simulation results are analyzed using the space-phasor theory.

Fig. 1. Steady-state electrical

(a) and magnetical

(b) equivalent circuits defined also for zero frequency

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(a) and magnetical

(b) equivalent circuits defined also for zero frequency

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**PARAMETER IDENTIFICATION OF AN INDUCTION MOTOR****USING**

**FUZZY LOGIC CONTROLLER**

**Abstract.**

The paper describes a method of parameter identification

of an equivalent circuit of an induction motor using fuzzy logic

controller. The method is based on the step-by-step approach in

which the parameters are calculated from an equivalent circuit and

real measured speed-torque characteristic. The displacement of

two characteristics as a complex input variable for a fuzzy logic

controller is used. In order to demonstrate the reliability of the

proposed methods, an example of speed-torque characteristic of

induction motors and parameter determination of an equivalent

circuit is discussed.

The algorithm of computer controlled determination of induction

motor characteristics and parameters

of an equivalent circuit of an induction motor using fuzzy logic

controller. The method is based on the step-by-step approach in

which the parameters are calculated from an equivalent circuit and

real measured speed-torque characteristic. The displacement of

two characteristics as a complex input variable for a fuzzy logic

controller is used. In order to demonstrate the reliability of the

proposed methods, an example of speed-torque characteristic of

induction motors and parameter determination of an equivalent

circuit is discussed.

The algorithm of computer controlled determination of induction

motor characteristics and parameters