Sensorless Speed Control of Synchronous Reluctance Motors Using Model Predictive Control Associated with Model Reference Adaptive System

EasyChair Preprint 5038

Abstract

This paper presents a predictive strategy and Model Reference Adaptive System for the control of a synchronous reluctance motor (SynRM). Our approach allows controlling the speed by associating two estimators of the current magnitudes through the predictive control and the model reference adaptive system. To obtain a predictive control, the most idea is to extract the variables to be controlled from the model of the machine to calculate their next behaviour and to choose the best optimization criterion. The Model Reference Adaptive System uses state observer model with current error feedback and rotor current model as two models for current estimation. The rotor speed is estimated so that the difference between the outputs of state observer model and rotor current model may be zero.

Keyphrases: Model Predictive Control, model reference adaptive system, sensorless control, synchronous reluctance motor, vector control

@booklet{EasyChair:5038,
  author    = {Gati Miloud and Serhoud Hicham and Bekakra Youcef},
  title     = {Sensorless Speed Control of Synchronous Reluctance Motors Using Model Predictive Control Associated with Model Reference Adaptive System},
  howpublished = {EasyChair Preprint 5038},
  year      = {EasyChair, 2021}}