In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

Speed Induction Motor (IM) control is an area of research that has been in evidence for some time now. In this paper, a nonlinear controller presented the induction motor drives. The designed based on input-output feedback linearization technique. decouples flux from speed and makes synthesis linear controllers possible. This article associated with NPC three level inverter defective, faults ar...

--The Motor Current Signature Analysis (MCSA) is considered the most popular fault detection method now a day because it can easily detect the common machine fault such as turn to turn short ckt, cracked /broken rotor bars, bearing deterioration etc. The present paper discusses the fundamentals of Motor Current Signature Analysis (MCSA) plus condition monitoring of the induction motor using MCS...

Induction motors are the most widely used for appliances, industrial control, and automation; however, many applications need variable speed operations. The rapid development of power electronics controllers in recent years has attracted the attention of researchers for making use of flexible characteristics of an induction motor in variable frequency drives. It presents a compact embedded fuzz...

Nowadays study of input voltage quality on induction motors behavior has become a controversial subject due to the wide application of these motors in the industry. The impact of grid voltage fluctuations on the performance of induction motors can be included in this area. The majority of papers devoted to the influence of voltage fluctuations on the induction motors are focusing only on the so...

This paper proposes a new scheme of induction motor parameter estimation using Genetic algorithm (GA) for condition monitoring. The flux linkage model and torque model of an induction motor is adapted to the estimation. The scheme is developed to obtain all the motor parameters: stator and rotor resistance, stator and rotor leaking reactance and magnetizing reactance, which paves the way to dia...

This paper presents a new online loss minimization for an induction motor drive. Among the many loss minimization algorithms (LMAs) for an induction motor, a particle swarm optimization (PSO) has the advantages of fast response and high accuracy. However, the performance of the PSO and other optimization algorithms depend on the accuracy of the modeling of the motor drive and losses. In the dev...

In this paper a design method based on robust fast output sampling technique is presented for the speed control of induction motor. The nonlinear model of induction motor model is linearized around various operating points to obtain the linear models. The input of the induction motor is the stator voltages and only the speed is considered as the output of the systems. A single controller is des...

Steady-state analysis of a three phase induction motor can be carried out by using computer simulation software such as MATLAB. From Simulink/Power system block set (PSB) library, the induction motor model can be effectively used to simulate the effects of DC resistance, no-load and blocked rotor tests. These tests are performed on a machine to estimate the values of stator and rotor resistance...

A new squirrel-cage rotor structure induction motor (IM) that has a auxiliary permanent magnet (PM) rotor and improved cage-rotor structure is presented to enhance the inherent power factor of the IM, and a prototype motor is fabricated by modifying the rotor of a conventional three-phase four-pole squirrel-cage induction motor. The flux linkage, flux distribution, power factor, core loss and e...