Jove
Visualize
Contact Us

Related Concept Videos

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

715
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
715
Load-frequency control01:28

Load-frequency control

598
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...
598
Multimachine Stability01:25

Multimachine Stability

535
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:
535
Electro-mechanical Systems01:19

Electro-mechanical Systems

1.6K
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
1.6K
DC Generator01:19

DC Generator

1.9K
An alternator converts mechanical energy into electrical energy that varies sinusoidally, resulting in AC current. Meanwhile, a DC generator converts mechanical energy into electrical energy, which are DC pulses with the same polarity. The construction of a DC generator is similar to that of an alternator, except that the pair of slip rings is replaced by a single split ring, also called a commutator. The commutator functions like a periodic rotary switch; it changes the contacts with the...
1.9K
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

409
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
409

You might also read

Related Articles

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

Sort by
Same journal

RETRACTED: Ndaguba et al. Operability of Smart Spaces in Urban Environments: A Systematic Review on Enhancing Functionality and User Experience. <i>Sensors</i> 2023, <i>23</i>, 6938.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Ma et al. A Lightweight, Low-Frequency, Broadband Underwater Acoustic Transducer with Ternary Symmetric Excitation: Integrating KNN and Terfenol-D for Enhanced Performance. <i>2026</i>, <i>26</i>, 3645.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: He et al. An Edge-Computing-Based Emotion-Aware Adaptive Lighting System for Intelligent Cockpits. <i>Sensors</i> 2026, <i>26</i>, 3489.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Tu et al. Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography. <i>Sensors</i> 2024, <i>24</i>, 3097.

Sensors (Basel, Switzerland)·2026
Same journal

Real-Time Detection System for Road Roughness Based on Ultrasonic Technology.

Sensors (Basel, Switzerland)·2026
Same journal

FedHSFV: Federated Learning for Finger Vein Recognition via Hierarchical Decoupling and Subspace Metric.

Sensors (Basel, Switzerland)·2026
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 Experiment Video

Updated: Jan 10, 2026

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

2.1K

Extend the Lifetime of Power Components in Series DC Motor Drives Using ANN-Based Adaptive Switching Frequency

Erkan Eren1, Hakan Kaya1, Salih Baris Ozturk2

  • 1Department of Electrical and Electronics Engineering, Zonguldak Bulent Ecevit University, Zonguldak 67100, Türkiye.

Sensors (Basel, Switzerland)
|November 27, 2025
PubMed
Summary

This study introduces an Artificial Intelligence (AI) control for electric mining locomotives, optimizing switching frequency to reduce component wear and extend equipment life. This AI approach significantly enhances system durability and efficiency compared to traditional methods.

Keywords:
adaptive control algorithmsartificial neural network (ANN)battery-powered locomotiveembedded systemsinsulated gate bipolar transistor (IGBT)machine learningminingreal-time decision makingsensor-based signal processingseries DC motorvariable switching frequency

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

10.7K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.1K

Related Experiment Videos

Last Updated: Jan 10, 2026

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

2.1K
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

10.7K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.1K

Area of Science:

  • Electrical Engineering
  • Artificial Intelligence
  • Power Electronics

Background:

  • Electric traction systems face component degradation due to motor current ripple and temperature fluctuations.
  • Fixed switching frequencies in Direct Current (DC) motor drives present a trade-off between current ripple and component losses.
  • Extending the lifetime of critical components like Insulated Gate Bipolar Transistors (IGBTs) and capacitors is crucial for battery-powered systems.

Purpose of the Study:

  • To develop an Artificial Neural Network (ANN)-based adaptive switching frequency control strategy for series DC motor drives.
  • To minimize motor current ripple and Insulated Gate Bipolar Transistor (IGBT) thermal fluctuations in electric traction systems.
  • To enhance the operational lifetime of power-electronic components in battery-powered mining locomotives.

Main Methods:

  • An Artificial Neural Network (ANN) was trained using data from current sensors, temperature sensors, and a potentiometer.
  • An adaptive variable switching frequency control algorithm was developed for real-time decision-making.
  • Performance was evaluated by comparing the ANN-driven approach against fixed-frequency control.

Main Results:

  • The ANN-driven control maintained average motor current ripple below 5% and maximum ripple below 10%.
  • Significant improvements in the lifetime of IGBTs and DC bus capacitors were observed.
  • A fairness index indicated up to 13 times overall system performance enhancement compared to fixed-frequency operation.

Conclusions:

  • The integration of embedded machine learning and adaptive control substantially improves the durability and efficiency of power-electronic systems.
  • The proposed ANN-based strategy effectively manages switching frequency to mitigate degradation factors in electric traction.
  • This adaptive control approach offers a viable solution for enhancing the reliability of industrial embedded systems.