An Adaptive Identification of Rotor Time Constant for Speed-Sensorless Induction Motor Drives: A Case Study for Six-Phase Induction Machine

نویسندگان

چکیده

Accurate rotor time constant ( $T_{r}$ ) value is necessary to ensure an acceptable performance of the indirect field-oriented control (IFOC) strategy, where a detuned affects flux orientation and, in turn, results poor dynamic and steady-state response torque. The problems associated with will be exacerbated sensorless drives when model-based speed estimation algorithm employed. This article investigates problem simultaneous identification for IFOC six-phase induction motor (6PIM) drives. First, adaptive observer proposed online detection low-frequency sinusoidal signal, which intentionally injected into command. Then, novel model reference system (MRAS)-based estimator using detected signal. Lyapunov stability theorem used asymptotic system. method based on machine (IM) primary subspace, i.e., notation="LaTeX">$\alpha $ – notation="LaTeX">$\beta subspace. Hence, it usable other multiphase IM (three phases higher). Nevertheless, 6PIM adopted here as case study. simulation experimental clarify effectiveness parallel

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

15 صفحه اول

Rotor Speed and Stator Resistance Identification Scheme for Sensorless Induction Motor Drives

This paper proposes a rotor speed identification method for sensorless induction motor drives based on a model reference adaptive system (MRAS). In this scheme, the error between estimated stator current and real stator current is regarded as the system error to estimate the rotor speed. Adaptive fullorder flux observers for estimating the rotor speed are developed using Lyapunov’s stability th...

متن کامل

Speed Observer Design for Linear Induction Motor Drives

In this paper, a neural network model reference adaptive system speed observer is designed, which can be used in speed control of linear induction motors (LIMs). Dynamical equations of LIM have been considered accurate. In other words, the end effect and the electrical losses of the motor have been included in the motor equivalent circuit. Then equations of the reference model and adaptive mode...

متن کامل

A Stator Resistance Estimation Scheme for Speed Sensorless Rotor Flux Oriented Induction Motor Drives

− Accurate knowledge of stator resistance is of utmost importance for correct operation of a number of speed sensorless induction motor control schemes in the low speed region. Since stator resistance inevitably varies with operating conditions, stable and accurate operation at near-zero speed requires an appropriate on-line identification algorithm for the stator resistance. The paper proposes...

متن کامل

New Adaptive Observer for Sensorless Induction Motor Drives

The paper deals with a new type of observer for the rotor flux and speed of the induction motor. The new observer is designed to be used within a speed sensorless direct rotor field oriented control of induction motors. In order to present the performances of the new observer, it was compared to extended Luenberger observer. The comparative analysis was simulated using Matlab – Simulink – dSPAC...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Journal of Emerging and Selected Topics in Power Electronics

سال: 2021

ISSN: ['2168-6777', '2168-6785']

DOI: https://doi.org/10.1109/jestpe.2020.3042305