MRAS Speed Sensorless Vector Control of Induction Motor Drives using Predictive Adaptation Mechanism

Abstract

Recently of the main topic of research is the sensorless vector control of induction motor drive,<strong><em> </em></strong>In this paper presents the predictive model reference adaptive system (PMRAS) rotor speed observer, This observer developed from the classical MRAS rotor flux scheme associated with predictive adaptation mechanism designed from the Finite Control Set Model Predictive Control (FCS–MPC) by using a search optimization algorithm for calculate the rotor position which guarantee a minimum speed tuning error signal at each sampling period. The effectiveness of the proposed observer proved with the simulation results, show high dynamic performance speed and position observed in sensorless vector control process at low and zero speed as well robustness against motor parameter variation with different loading conditions.

A wind turbine sensorless automatic control systems, analysis, modelling and development of IDA-PBC method

“…The law of adaptation presents an integration in open loop (problem of offset). For the improvement of the estimation response a low pass filter has been proposed by many authors [10]:…”

Modeling flux linkages of an induction motor in dynamic modes. Comparison of the effectiveness of various control algorithms

“…В этих работах исследуются динамические характеристики электроприводов [3][4][5]. Много работ посвящено повышению энергоэффективности преобразователей частоты [9,10], при этом используемые в этих исследованиях модели асинхронных электродвигателей не отличаются от моделей двигателей, заложенных в системы векторного управления. Поэтому данные исследования не выявляют неточности векторного управления, которые обнаруживаются в экспериментах.…”

Experiment based comparative analysis of stator current controllers using predictive current control and proportional integral control for induction motors

“…As for electrical drives systems, MPC has been deeply investigated for AC machines [20][21][22]. MPC can also be used for sensorless drive systems with achieved good performances [23,24]. Different prediction horizon based MPC methods have been considered.…”