Design and Analysis of PLL Speed Estimator for Sensorless Rotor-Flux Oriented Control of Induction Motor Drives

2021 ◽  
Author(s):  
Prasun Mishra ◽  
Cristian Lascu ◽  
Michael Moller Bech ◽  
Bjorn Rannestad ◽  
Stig Munk-Neilsen
Keyword(s):  
Induction Motor ◽  
Motor Drives ◽  
Induction Motor Drives ◽  
Rotor Flux ◽  
Speed Estimator

scholarly journals Sensor less Speed Estimation of an Foc Induction Motor Drive using Mras Speed Controller and Fuzzy Current Controller

2019 ◽  
Vol 8 (10) ◽  
pp. 4657-4661
Keyword(s):  
Induction Motor ◽  
Reactive Power ◽  
Motor Drives ◽  
Operating Conditions ◽  
Induction Motor Drives ◽  
Speed Controller ◽  
Current Controller ◽  
Wide Range ◽  
Rotor Flux ◽  
Speed Estimator

This paper mainly presents fuzzy current controller depending on speed estimator of MRAS with field oriented controlled induction motor drives. This paper consists of three main techniques used for configurations of MRAS speed estimators that is Rotor Flux, Back - EMF and Instantaneous Reactive power. The MRAS estimators are then included into a direct field oriented controller and also a comparison is done between PI and fuzzy current controllers completely tested on MATLAB/SIMULINK. The resulting controller achieves an acceptable level of execution over wide range of good operating conditions

Neural learning adaptive system using simplified reactive power reference model based speed estimation in sensorless indirect vector controlled induction motor drives

2013 ◽  
Vol 62 (1) ◽  
pp. 25-41 ◽  
Author(s):  
K. Sedhuraman ◽  
S. Himavathi ◽  
A. Muthuramalingam
Keyword(s):  
Induction Motor ◽  
Reactive Power ◽  
Adaptive System ◽  
Learning Algorithm ◽  
Motor Drives ◽  
Speed Estimation ◽  
Induction Motor Drives ◽  
Model Reference ◽  
Neural Learning ◽  
Speed Estimator

Abstract This paper presents a novel speed estimator using Reactive Power based Model Reference Neural Learning Adaptive System (RP-MRNLAS) for sensorless indirect vector controlled induction motor drives. The Model Reference Adaptive System (MRAS) based speed estimator using simplified reactive power equations is one of the speed estimation method used for sensor-less indirect vector controlled induction motor drives. The conventional MRAS speed estimator uses PI controller for adaptation mechanism. The nonlinear mapping capability of Neural Network (NN) and the powerful learning algorithms have increased the applications of NN in power electronics and drives. This paper proposes the use of neural learning algorithm for adaptation in a reactive power technique based MRAS for speed estimation. The proposed scheme combines the advantages of simplified reactive power technique and the capability of neural learning algorithm to form a scheme named “Reactive Power based Model Reference Neural Learning Adaptive System” (RP-MRNLAS) for speed estimator in Sensorless Indirect Vector Controlled Induction Motor Drives. The proposed RP-MRNLAS is compared in terms of accuracy, integrator drift problems and stator resistance versions with the commonly used Rotor Flux based MRNLAS (RF-MRNLAS) for the same system and validated through Matlab/Simulink. The superiority of the RP-MRNLAS technique is demonstrated.

Switching FOC Method for Vector Control of Single-Phase Induction Motor Drives

2016 ◽  
Vol 6 (2) ◽  
pp. 474
Author(s):  
Mohammad Jannati ◽  
Nik Rumzi Nik Idris ◽  
Mohd Junaidi Abdul Aziz ◽  
Tole Sutikno ◽  
M. Ghanbari
Keyword(s):  
Vector Control ◽  
Induction Motor ◽  
High Performance ◽  
Single Phase ◽  
Control Method ◽  
Controller Design ◽  
Motor Drives ◽  
Induction Motor Drives ◽  
Rotating Reference Frame ◽  
Rotor Flux

This paper proposes a novel vector control method based on Rotor flux Field-Oriented Control (RFOC) for single-phase Induction Motor (IM) drives. It is shown that in a rotating reference frame, the single-phase IM equations can be separated into forward and backward equations with balanced structures. In order to accommodate for these forward and backward equations, a drive system consisting of two RFOCs that are switched interchangeably, is proposed. Alternatively, these two RFOC algorithms can be simplified as a single FOC algorithm. The analysis, controller design and simulation of the proposed technique showed that it is feasible for single-phase IM drive for high performance applications.

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