Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

780
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
780
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

604
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
604
Controlled-Current Coulometry: Overview01:27

Controlled-Current Coulometry: Overview

706
Controlled current coulometry, also known as amperostatic coulometry, is a technique used in electrochemical analysis to measure the quantity of a substance through the controlled passage of current. It involves the application of a constant current to an electrochemical cell containing the analyte of interest. As the current flows through the cell, the analyte undergoes a redox reaction at the electrode surface, resulting in a charge transfer. By monitoring the time required for a certain...
706
Controlled-Current Coulometry: Coulometric Titration01:18

Controlled-Current Coulometry: Coulometric Titration

549
Coulometric titrations are a form of titrimetric analysis where the reagent is generated electrically, and its amount is evaluated based on current and generating time. The electron serves as the standard reagent. The procedure is similar to conventional titrations, such as endpoint detection.
The fundamental requirements for coulometric titrations are (1) 100% efficiency in the reagent-generating electrode reaction and (2) a stoichiometric and preferably rapid reaction between the generated...
549
Stereotype Content Model02:16

Stereotype Content Model

15.4K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.4K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.8K
VSEPR Theory for Determination of Electron Pair Geometries
45.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Virtual voltage vector based predictive current control of speed sensorless induction motor drives.

ISA transactions·2022
Same author

HIV Treatment with the Two-Drug Regimen Dolutegravir Plus Lamivudine in Real-world Clinical Practice: A Systematic Literature Review.

Infectious diseases and therapy·2021
Same author

The age of the bone marrow microenvironment influences B-cell acute lymphoblastic leukemia progression via CXCR5-CXCL13.

Blood·2021
Same author

Phylogenetics of Sarcocystis fusiformis isolates based on 18S rRNA and cox 1 genes.

Microbial pathogenesis·2021
Same author

Prognostic Role of Liver Biopsy in Patients With Severe Indeterminate Acute Hepatitis.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association·2021
Same author

Solid self emulsifying drug delivery system: Superior mode for oral delivery of hydrophobic cargos.

Journal of controlled release : official journal of the Controlled Release Society·2021
Same journal

Composite fault-tolerant predictive control strategy for PMSM demagnetization faults.

ISA transactions·2026
Same journal

Bias-compensated Q-learning for optimal tracking control under denial-of-service attacks.

ISA transactions·2026
Same journal

Motion prediction for leader manipulator of teleoperation system with large time delay based on inverse optimal control.

ISA transactions·2026
Same journal

Neural network parameter identification-based prescribed-time adaptive control for morphing glide aircraft.

ISA transactions·2026
Same journal

Nonlinear system-guided continuous-time generalization for cross-aircraft engine state monitoring.

ISA transactions·2026
Same journal

Predefined-time distributed optimal formation control for constrained UAV-UGV systems.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: Feb 2, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

737

Speed sensorless model predictive current control of doubly-fed induction machine drive using model reference

Rahul Kumar1, Sukanta Das1, Adrish Bhaumik1

  • 1Department of Electrical Engineering, Indian Institute of Technology (ISM), Dhanbad, Jharkhand, Pin-826004, India.

ISA Transactions
|November 17, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel speed sensorless control for doubly-fed induction machines (DFIMs) using finite control set-model predictive current control (FCS-MPCC) and a modified R-MRAS system. The innovative approach enhances control flexibility and execution speed compared to traditional methods.

Keywords:
Doubly-fed induction machine (DFIM)Finite control set-model predictive current control (FCS-MPCC)Model reference adaptive system (MRAS)Sensorless

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

7.6K

Related Experiment Videos

Last Updated: Feb 2, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

737
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

7.6K

Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Electronics

Background:

  • Doubly-fed induction machines (DFIMs) are crucial in renewable energy systems.
  • Traditional speed control methods often require mechanical sensors and complex flux estimation.
  • Existing model predictive control strategies can be computationally intensive.

Purpose of the Study:

  • To develop a robust speed sensorless control scheme for grid-connected DFIM drives.
  • To enhance the flexibility and reduce the computational burden of DFIM control.
  • To eliminate the need for stator/rotor resistance and flux estimation in sensorless control.

Main Methods:

  • Implementation of a modified fictitious ohmic quantity (R) based model reference adaptive system (MRAS) for speed estimation.
  • Integration of the R-MRAS with finite control set-model predictive current control (FCS-MPCC).
  • Utilizing stationary and synchronously rotating reference frames for sensorless formulation, independent of resistance and flux terms.

Main Results:

  • The proposed speed sensorless FCS-MPCC scheme demonstrates independence from stator/rotor resistance and flux estimation.
  • The R-MRAS based sensorless formulation offers enhanced flexibility compared to Field Oriented Control (FOC) and Direct Torque Control (DTC).
  • Faster execution time is achieved compared to conventional FOC and DTC methods for DFIM drives.

Conclusions:

  • The developed speed sensorless FCS-MPCC scheme provides an efficient and flexible alternative for DFIM control.
  • The method is validated through simulations in MATLAB/Simulink and experimental testing on a dSPACE-1103 platform.
  • This approach is particularly suitable for limited speed range applications, offering improved performance and reduced complexity.