Model Reference Adaptive System (MRAS) based techniques are one of the best methods to estimate the rotor speed and position due to its performances and straight forward stability approach. In this paper, we propose a new robust MRAS scheme based on sliding mode techniques to estimated the rotor speed of a Surface Permanent Magnet Synchronous Motor (SPMSM). Furthermore, an Estimator/Observer sw...

This paper presents a speed estimation technique for the permanent magnet synchronous motor drive. A Model Reference Adaptive System (MRAS) has been formed using the instantaneous and steady-state reactive powers to estimate the speed. It has been shown that such unique MRAS offers several desirable features. The proposed technique is completely independent of stator resistance and is less para...

To solve the problem of sensorless control method a permanent magnet synchronous motor, based on study mathematical model for motor and adaptation theory, reference equation adjustable are derived according to stator current equation. The correctness selected linear compensator matrix is strictly proved. Then, Popov’s super-stability theory used derive speed adaptive law prove its asymptotic st...

This paper aims to evaluate the dynamic performance of a five-phase PMSM drive using two different observers: sliding mode (SMO) and model reference adaptive system (MRAS). The design vector control for is firstly introduced in details visualize proper selection speed current controllers’ gains, then construction observers are presented. stability check also presented analyzed, finally evaluati...

A modified integral sliding mode control-based adaptation algorithm (MISMCA) is described to enhance performance of sensorless rotor flux model-reference-adaptive-system (RF-MRAS) induction motor drive (IMD). At low speed regions, RF-MRAS not guaranteed due conventional PI-based (PIA) and parameter uncertainties, especially time constant. In order improve RF-MRAS, the PIA replaced by an based o...

This paper presents a different technique for the online stator resistance estimation using particle swarm optimization (PSO) based algorithm rotor flux oriented control schemes of induction motor drives without speed sensor. First, conventional proportional-integral controller-based is used sensorless scheme with two model reference adaptive system (MRAS) concepts. Finally, novel method on PSO...

This paper develops a model reference adaptive system (MRAS) based observer for sensorless vector control of permanent magnet synchronous motor (PMSM) drives. There are used two models in MRAS observer to estimate the linkage flux with relatively clean waveforms. The voltage model in stator reference is the reference model, and the current model in estimated rotor reference is the adaptive mode...

1,2 Department of EEE, Sree Buddha College of Engineering, Pattoor, Alappuzha Abstract— Model Reference Adaptive System (MRAS) based speed sensorless estimation of vector controlled induction motor drives are presented in this paper. New speed and current estimation techniques are presented. These are used to formulate a single current sensor based vector controlled drive. The proposed method i...

In this paper, a field oriented control (FOC) induction motor drive is presented. In order to eliminate the speed sensor, an adaptation algorithm for tuning the rotor speed is proposed. Based on the Model Reference Adaptive System (MRAS) scheme, the rotor speed is tuned to obtain an exact FOC induction motor drive. The reference and adjustable models, developed in stationary stator reference fr...

In the speed control system of an Interior Permanent Magnet Synchronous Motor (IPMSM) without a sensor, PI controllers using only fixed set parameters cannot achieve accurate tracking estimated in wide domain and also suffer from step response overshoot. This paper proposes Compound Variable Structure (CVSPI) controller to improve performance. It can choose whether include integral term accordi...