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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

147
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...
147
Conservation of Mass in Fixed, Nondeforming Control Volume01:07

Conservation of Mass in Fixed, Nondeforming Control Volume

1.3K
The principle of conservation of mass is fundamental in fluid dynamics and is crucial for analyzing flow within fixed control volumes, such as pipes or ducts. This principle states that the total mass within a control volume remains constant unless altered by the inflow or outflow of mass through the control surfaces. This results in a vital relationship for steady, incompressible flow where the mass entering a system equals the mass leaving it.
In the case of a sewer pipe, which can be modeled...
1.3K
Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

1.1K
Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
1.1K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

269
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...
269
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

122
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
122
Controller Configurations01:22

Controller Configurations

146
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
146

You might also read

Related Articles

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

Sort by
Same author

Bayesian Physics-Informed Neural Networks With MIQPSO-Backstepping Control for Vibration Suppression in Nonuniform Quay Cranes.

IEEE transactions on cybernetics·2026
Same author

Automatic Grasping System and Hybrid Controller Towards Multi-Drone Parcel Delivery.

Sensors (Basel, Switzerland)·2026
Same author

Genome-wide identification, characterization, molecular evolution and expression profiling analysis of COMMD gene family in black rockfish (Sebastes schlegelii).

Comparative biochemistry and physiology. Part D, Genomics & proteomics·2025
Same author

Scanning Tunneling Microscopy Characterization of Intrinsic Point Defects and Their Local Density of States in α-In<sub>2</sub>Se<sub>3</sub>.

Nano letters·2025
Same author

Robotic laparoendoscopic single-site ultrasound-guided renal artery balloon catheter occluded hybrid partial nephrectomy (LESS-HPN): a prospective pilot study.

BMC urology·2025
Same author

Effectiveness of education programs on axSpA patients: a systematic review of randomized controlled trials.

ARP rheumatology·2025

Related Experiment Video

Updated: Sep 5, 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

1.8K

Adaptive control with unknown mass estimation for a quadrotor-slung-load system.

Gan Yu1, Wei Xie2, David Cabecinhas3

  • 1University of Macau, Macao, China.

ISA Transactions
|July 10, 2022
PubMed
Summary

This study presents an adaptive controller for quadrotors carrying unknown mass loads. The controller ensures accurate trajectory tracking and robust performance despite mass variations.

Keywords:
Adaptive backstepping controlAerial load transportationParameter estimationUnderactuated unmanned aerial vehicles

More Related Videos

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
Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

9.1K

Related Experiment Videos

Last Updated: Sep 5, 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

1.8K
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
Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

9.1K

Area of Science:

  • Robotics
  • Control Systems
  • Aerospace Engineering

Background:

  • Accurate mass estimation is crucial for model-based controllers in aerial load transportation.
  • Inaccurate mass information leads to unmodeled dynamics and degraded closed-loop performance.

Purpose of the Study:

  • To design a trajectory tracking controller for a quadrotor with a slung-load of unknown mass.
  • To develop an adaptive control strategy that estimates load mass online.

Main Methods:

  • Utilized the backstepping technique for controller design.
  • Developed nonlinear control laws for thrust and angular velocity.
  • Incorporated an adaptation law for online mass estimation.

Main Results:

  • Guaranteed convergence of trajectory tracking errors to zero.
  • Ensured convergence of estimated mass errors to zero.
  • Demonstrated robustness to variations in load mass through simulations and experiments.

Conclusions:

  • The proposed adaptive controller effectively manages quadrotor trajectory tracking with unknown slung-load masses.
  • Online mass estimation enhances control system performance and robustness in aerial load applications.