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

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

282
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
282
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

186
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
186
PI Controller: Design01:24

PI Controller: Design

571
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...
571
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.1K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.1K
PD Controller: Design01:26

PD Controller: Design

374
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
374
PID Controller01:19

PID Controller

269
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
269

You might also read

Related Articles

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

Sort by
Same author

Fabrication and DFT assisted investigation of novel Ru (III) imine complex for nickel corrosion inhibition and energy storage applications.

Scientific reports·2026
Same author

Neural network-based observer combined with nonsingular terminal sliding mode control for QUAV tracking: Experimental validation.

ISA transactions·2026
Same author

Adaptive neural network-based super-twisting sliding mode control for UAV trajectory tracking under disturbances.

ISA transactions·2025
Same author

Anticancer potential of ethanolic sidr leaf extracts against MCF-7 breast cancer cells: phytochemical, nutritional, and antimicrobial profile comparisons of different plant parts.

PeerJ·2025
Same author

A Metrics-Driven Approach to Develop a Hybrid Model of Staffing and Workload Balance in the NGHA Hospitals.

Journal of healthcare leadership·2025
Same author

Unraveling the role of MXene (Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub>) integrated Cu-doped WO<sub>3</sub> nanocomposites via co-precipitation technique for enhanced supercapacitor performance.

Scientific reports·2025

Related Experiment Video

Updated: Oct 3, 2025

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

11.8K

Barrier Function Adaptive Nonsingular Terminal Sliding Mode Control Approach for Quad-Rotor Unmanned Aerial Vehicles.

Khalid A Alattas1, Omid Mofid2, Abdullah K Alanazi3

  • 1Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a barrier function adaptive non-singular terminal sliding mode controller for six-degrees-of-freedom (6DoF) quad-rotors. The controller effectively handles matched disturbances, ensuring finite-time convergence and stability.

Keywords:
adaptive lawbarrier function techniquematched disturbancenon-singular terminal sliding modequad-rotor system

More Related Videos

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

1.8K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.9K

Related Experiment Videos

Last Updated: Oct 3, 2025

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

11.8K
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

1.8K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.9K

Area of Science:

  • Robotics
  • Control Systems Engineering
  • Aerospace Engineering

Background:

  • Quad-rotor systems are complex and susceptible to external disturbances.
  • Existing control methods may struggle with finite-time convergence and disturbance rejection.
  • Accurate control is crucial for quad-rotor stability and performance.

Purpose of the Study:

  • To develop an advanced controller for six-degrees-of-freedom (6DoF) quad-rotors.
  • To achieve finite-time convergence of tracking errors.
  • To effectively reject matched disturbances using adaptive control.

Main Methods:

  • Proposed a barrier function adaptive non-singular terminal sliding mode controller.
  • Designed a linear sliding surface for tracking error dynamics.
  • Introduced a novel non-singular terminal sliding surface for finite-time reachability.
  • Developed an adaptive control law based on barrier functions for disturbance approximation.

Main Results:

  • The proposed controller ensures finite-time convergence of tracking errors to the origin.
  • The barrier function adaptive control law effectively approximates and rejects matched disturbances.
  • The controller demonstrates robustness against external disturbances in simulation.
  • The barrier function properties ensure bounded adaptive gain and finite-time error convergence.

Conclusions:

  • The barrier function adaptive non-singular terminal sliding mode controller is validated through simulations.
  • This control strategy offers enhanced performance for 6DoF quad-rotors in the presence of disturbances.
  • The method provides a robust solution for achieving precise quad-rotor control.