Model Of Squirrel Cage Induction Motor Research Articles

PI Controller and Space Vector Modulation based Direct Torque Control of Multi-level Inverter fed Induction Motor

Managing speed and Torque in various applications can raise the AC motor's efficiency and significantly save energy. Direct Torque Control (DTC) is significant among the several methods used to regulate AC motors. It is well known that the DTC of AC motors has very favorable control performance and implementation qualities. The control strategy uses the stator flux field orientation to control Torque and flux. DTC makes it possible to manage speed and Torque over a huge range. With a squirrel-cage induction motor model, a cascaded H bridge multi-level inverter, and a PI controller, this work makes an effort to examine and analyze the characteristics and operating principle of the DTC scheme. MATLAB/SIMULINK simulation results have been used to validate the efficacy and viability of this regulating strategy.

Volumetric Flow Observer For A Pumping Unit Without Backpressure With Induction Electric Drive

The article describes the construction of a volumetric fluid supply observer in pumping systems. The electric drive of the pump unit uses an induction motor with a squirrel-cage rotor. The rotation speed of the electric motor is adjustable. A centrifugal pump is used to pressurize a pipeline. Requirements for the automation level of pumping units are growing, so the research topic is relevant. When constructing the observer, the double squirrel cage induction motor model in a fixed coordinate system is used. The impeller rotation speed and the pump resistance moment were estimated based on the Luenberger observer. The observer is used to identify the volume flow. It is based on a centrifugal pump model using approximating coefficients of a Second-Degree Polynomial function. The article provides the dynamic characteristics of the reference model and observer. As a studies result, an error in the steady state operating mode of 1% was determined.

The Squirrel-Cage Induction Motor Model and Its Parameter Identification Via Steady and Dynamic Tests

One of the most important bases for designing robust closed-loop controllers applied to induction motor with high performance is establishing its mathematical model and state observers, as well as the parameter identification with high accuracy. In this paper, a step-by-step mathematical model of the squirrel-cage induction motor is described at αβ coordinate frame where the parameters are defined in detailed form; the rotor flux linkages and load torque are estimated via an asymptotic observer; the induction motor parameter identification is performed via a data acquisition board, applying dynamic and steady-state tests. Inductances of the induction motor model are calculated using the proposed relationships between the magnetically coupled circuit and equivalent circuit model. The mathematical model, state observers, and parameter identification procedure of squirrel-cage induction motor are validated via comparison of simulation signals with their corresponding real-time signals. This validation is made experimentally by a steady-state test, where load conditions are changed via a dynamometer which is belt coupled with the squirrel-cage induction motor.

Off-the-Grid Compressive Sensing for Broken-Rotor-Bar Fault Detection in Squirrel-Cage Induction Motors

In this paper, we propose an off-the-grid compressive sensing based method to detect broken-bar fault in squirrel-cage induction motors. To validate our method, we first build a dynamic model of squirrel-cage induction motor using multi-loop equivalent circuit to simulate motor current under fault conditions. We then develop an off-the-grid compressive sensing algorithm to extract the fault characteristic frequency from the simulated motor current by solving an atomic norm minimization problem. Comparing to other fault detection methods via motor current signature analysis, our method yields high resolution in extracting low-magnitude fault characteristic frequency with only 0.7 second measurements. Simulation results validate our proposed method.

Squirrel Cage of Induction Motors Simulation via Simulink

This study presents Simulink implementation and mathematical model of squirrel cage induction motor. Induction motor models are generally available in form of d-q model in literature for Simulink simulations. But in this study the model include rotor bars and end-ring near the stator windings. So, the rotor bars and end-ring data (currents, voltages etc.) are accessible and can be investigated. And the rotor bars and end-ring parameters are verification and made optimization. In the solution the number of rotor bars determines the dimension of inductance matrix in the motor model. Because simulated motor has 18 rotor bars, dimension of this matrix is 22x22. Each component of the matrix changes according to motor position. Calculating of inverse of the matrix is necessary for every time period. This process is very difficult in Simulink by using function blocks. In the present study m-file block is used instead of function block. So, solution of mathematical model of squirrel-cage induction motor is implemented by Simulink. The simulation results are given with the model used in start-up condition. The results show that the proposed method is used simulation of the induction motor with squirrel-cage. achieved by utilizing separate d-q axis models (2). But in present study the aimed model include rotor bars and end-ring together with the stator windings. So, the rotor bars and end-ring data (currents, voltages etc.) are accessible and can be investigated. And the rotor bars and end-ring parameters are verification and made optimization. The facilities provided by the Simulink software of MATLAB are used to implement the block diagram which represents the governing squirrel cage induction motor mathematical model differential equations with cage model. The main advantage of the SIMULINK over other programming software is the simulation model is built up systematically by means of basic function blocks. A set of machine differential equations can thus be modeled by interconnection of appropriate function blocks, each of which performing a specific mathematical operation. The simulation model can be easily developed by addition of new sub-models to cater for various control functions. The following assumptions were made for the derivation of the appropriate mathematical model; -The magnetic permeability of iron is considered to be infinite.

Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines

In this paper, the authors give a new model of squirrel-cage induction motors under stator and rotor faults. First, they study an original model that takes into account the effects of interturn faults resulting in the shorting of one or more circuits of stator-phase winding. They introduce, thus, additional parameters to explain the fault in the three stator phases. Then, they propose a new faulty model dedicated to broken rotor bars detection. The corresponding diagnosis procedure based on parameter estimation of the stator and rotor faulty model is proposed. The estimation technique is performed by taking into account prior information available on the safe system operating in nominal conditions. A special three-phase induction machine has been designed and constructed in order to simulate true faulty experiments. Experimental test results show good agreement and demonstrate the possibility of detection and localization of previous failures.

On a mathematical model of squirrel-cage induction motors

This paper presents a mathematical model of 3-phase squirrel-cage induction motor accounting for a very high number of space harmonics in which, due to application of a special transformation of voltages and currents, a differential equation system with constant coefficients is obtained. The number of space harmonics is so high that it is possible to perform a direct computation of the alternating component of the electromagnetic torque which decides on the parasitic synchronous torque.