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

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

433
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...
433
Load-frequency control01:28

Load-frequency control

763
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...
763
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

465
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
465
PI Controller: Design01:24

PI Controller: Design

1.4K
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
1.4K
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

499
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...
499
Control Systems01:10

Control Systems

2.0K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
2.0K

You might also read

Related Articles

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

Sort by
Same author

DuaDiff: Dual-Conditional Diffusion Model for Guided Thermal Image Super-Resolution.

IEEE transactions on neural networks and learning systems·2025
Same author

Geo-NI: Geometry-Aware Neural Interpolation for Light Field Rendering.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Unified Domain Adaptive Semantic Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

PDeT: A Progressive Deformable Transformer for Photovoltaic Panel Defect Segmentation.

Sensors (Basel, Switzerland)·2024
Same author

ProbIBR: Fast Image-Based Rendering With Learned Probability-Guided Sampling.

IEEE transactions on visualization and computer graphics·2024
Same author

Disentangling Light Fields for Super-Resolution and Disparity Estimation.

IEEE transactions on pattern analysis and machine intelligence·2022

Related Experiment Video

Updated: Mar 19, 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

2.2K

Prescribed-Time Fuzzy Adaptive Consensus Control for Photovoltaic Systems With Dead-Zone Input and Actuator Faults.

Zilong Tan, Gaochang Wu, Yang Liu

    IEEE Transactions on Cybernetics
    |March 17, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new control method for photovoltaic (PV) systems to ensure stable operation and maximum power point tracking, even with system faults and dead zones. The approach guarantees performance within a set time frame.

    More Related Videos

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
    06:04

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

    Published on: February 14, 2025

    1.1K
    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

    9.1K

    Related Experiment Videos

    Last Updated: Mar 19, 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

    2.2K
    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
    06:04

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

    Published on: February 14, 2025

    1.1K
    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

    9.1K

    Area of Science:

    • Renewable Energy Systems
    • Control Theory
    • Artificial Intelligence

    Background:

    • Photovoltaic (PV) systems require robust control for efficient operation.
    • Practical PV systems face challenges like dead zones and actuator faults.
    • Existing control methods may not guarantee performance within a specified time.

    Purpose of the Study:

    • To develop a prescribed-time fuzzy adaptive consensus control scheme for nonlinear PV systems.
    • To ensure maximum power point tracking (MPPT) under complex conditions.
    • To address dead zones and actuator faults in grid-connected PV systems.

    Main Methods:

    • A novel prescribed-time performance function for guaranteed state convergence.
    • Finite-time tracking controller and adaptive laws to handle nonlinearities.
    • Fuzzy logic systems to manage unknown system dynamics.
    • Lyapunov stability theory for rigorous stability analysis.

    Main Results:

    • The proposed scheme ensures PV systems operate efficiently and track maximum power point.
    • Guaranteed convergence of system states within a specified time.
    • Effective compensation for dead zones and actuator faults.
    • Stability of the closed-loop system is proven, demonstrating boundedness of all signals.

    Conclusions:

    • The novel prescribed-time fuzzy adaptive control scheme is effective for nonlinear PV systems.
    • The approach successfully addresses practical challenges like faults and dead zones.
    • Simulation results validate the superiority and effectiveness of the proposed control strategy.