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

Multimachine Stability01:25

Multimachine Stability

143
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
143
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

126
Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
126
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

187
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...
187
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

84
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
84
Control of Power Flow01:30

Control of Power Flow

255
There are several methods to control power flow in power systems:
255
Load-frequency control01:28

Load-frequency control

128
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
128

You might also read

Related Articles

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

Sort by
Same author

MicroRNA-1224 Splicing CircularRNA-Filip1l in an Ago2-Dependent Manner Regulates Chronic Inflammatory Pain via Targeting Ubr5.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2019
Same author

Treatment of clinical T4 stage superior sulcus non-small cell lung cancer: a propensity-matched analysis of the surveillance, epidemiology, and end results database.

Bioscience reports·2019
Same author

Machine learning framework for assessment of microbial factory performance.

PloS one·2019
Same author

Low Pathogenic Avian Influenza A (H5N7) Virus Isolated from a Domestic Duck in Dongting Lake Wetland of China, 2016.

Virologica Sinica·2019
Same author

Nomograms for predicting survival outcomes in patients with primary tracheal tumors: a large population-based analysis.

Cancer management and research·2018
Same author

The role of metabolism in the pathogenesis of systemic sclerosis.

Metabolism: clinical and experimental·2018

Related Experiment Video

Updated: Jun 10, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K

Robust deadbeat predictive current control for unipolar sinusoidal excited SRM with multi-parameter mismatch

Di Liu1, Yunsheng Fan2, Jian Liu3

  • 1College of Marine Electrical Engineering, Dalian Maritime University, Dalian, Liaoning, China.

Scientific Reports
|October 10, 2024
PubMed
Summary

This study introduces a robust deadbeat predictive current controller (DPCC) to enhance switched reluctance motor (SRM) performance. The new controller compensates for parameter mismatches, significantly reducing disturbances for improved current control.

Keywords:
Disturbance rejectionKalman filterPredictive current controlSwitched reluctance motorsUnipolar sinusoidal excitation

More Related Videos

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.3K
Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

8.6K

Related Experiment Videos

Last Updated: Jun 10, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K
Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.3K
Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

8.6K

Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Electronics

Background:

  • Switched reluctance motors (SRMs) are utilized in various applications due to their robustness and cost-effectiveness.
  • Deadbeat predictive current controllers (DPCCs) offer superior dynamic performance for SRMs but are sensitive to parameter variations.
  • Parameter mismatches in SRMs lead to periodic disturbances, degrading the precision of DPCCs.

Purpose of the Study:

  • To develop a robust DPCC that mitigates performance degradation caused by parameter uncertainties in unipolar sinusoidal excited SRMs.
  • To enhance the dq0-axes current control performance of SRMs under dynamic operating conditions.

Main Methods:

  • A multi-parameter compensation strategy is proposed for the DPCC.
  • A Kalman filter (KF) is employed to estimate and compensate for inductance coefficient mismatches.
  • A disturbance estimator with measurement noise suppression is integrated for comprehensive state and uncertainty estimation, addressing winding resistance, magnetic saturation, and unmodeled dynamics.

Main Results:

  • The proposed robust DPCC effectively compensates for parameter mismatches, significantly reducing periodic disturbances.
  • The integration of KF and disturbance estimator improves the accuracy of state and disturbance estimation.
  • Simulation and experimental results confirm the enhanced current control performance and robustness of the proposed controller.

Conclusions:

  • The developed robust DPCC with multi-parameter compensation offers a significant improvement in SRM control performance.
  • This approach effectively addresses parameter uncertainties, leading to more reliable and precise operation of SRMs.