Induction Machine Sensorless Control Based on Saliency Extraction That Uses One Single SVPWM Active State

نویسندگان

چکیده

Some induction motors present saliencies that periodically modify the air-gap flux following a sinusoidal shape. Consequently, these modulations are reflected in transient leakage inductance. Therefore, inductance can be expressed as constant term or offset, which comes from symmetrical machine, plus all motor saliency sinusoids, modulated by mentioned saliencies. Since linked to rotor position flux, calculation of enables encoderless vector control. A way calculate is excite machine with voltage steps and estimate resulting phase current slopes since they inversely proportional For creating vector, only three single active state sufficient. The sum leads so-called saliency-offset composed an created due contribution several phasors, superposed offset. To access saliencies, it critical accurately identify offset especially much bigger than This article presents advanced signal processing scheme identifies assuming amplitude differsdepending on step applied. Using feedforward scheme, eliminated, leading where slotting extracted from. novel excitation proposed reduce additional distortions coming one-active excitation.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Sensorless Control of Induction Motor Drive Using SVPWM - MRAS Speed Observer

This paper proposes a novel Space Vector Pulse width modulation (SVPWM) for sensor less control of induction motor using model reference adaptive system (MRAS). The steady state ripples in the torque are present in the conventionally used MRAS sensor less control of induction motor which utilizes normally used voltage source inverters. Also performance of the steady state speed is not as perfec...

متن کامل

A Current-Based Output Feedback Sliding Mode Control for Speed Sensorless Induction Machine Drive Using Adaptive Sliding Mode Flux Observer

This paper presents a new adaptive Sliding-Mode flux observer for speed sensorless and rotor flux control of three-phase induction motor (IM) drives. The motor drive is supplied by a three-level space vector modulation (SVM) inverter. Considering the three-phase IM Equations in a stator stationary two axis reference frame, using the partial feedback linearization control and Sliding-Mode (SM) c...

متن کامل

Reduced-Reference Image Quality Assessment based on saliency region extraction

In this paper, a novel saliency theory based RR-IQA metric is introduced. As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. In order to extract the salient regions, we use blob decomposition (BD) tool as a texture component descriptor. A new method for blob decomposition is propos...

متن کامل

Sensorless Control of Induction Machines

theoret. zero close to, or temporarily zero Abstract — Controlled induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. To replace the sensor, the information on the rotor speed is extracted from measured stator currents and from the voltages at the motor terminals. Vector controlled drives require estimating the magnit...

متن کامل

MRAS-based sensorless speed backstepping control for induction machine, using a flux sliding mode observer

Abstract: In this paper, an induction machine rotor speed and rotor flux control using a sensorless backstepping control scheme is discussed. The most interesting point of this technique is that it deals with the nonlinearity of a high-order system by using the virtual control variable to make this system simple, and thus the control outputs can be derived step by step through appropriate Lyapu...

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 Transactions on Industry Applications

سال: 2022

ISSN: ['1939-9367', '0093-9994']

DOI: https://doi.org/10.1109/tia.2022.3142711