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

Gyroscope01:02

Gyroscope

4.0K
A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
4.0K
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

755
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
755
PID Controller01:19

PID Controller

614
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...
614
PI Controller: Design01:24

PI Controller: Design

1.1K
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...
1.1K
PD Controller: Design01:26

PD Controller: Design

565
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,...
565
Gyroscope: Precession01:24

Gyroscope: Precession

5.2K
Precession can be demonstrated effectively through a spinning top. If a spinning top is placed on a flat surface near the surface of the Earth at a vertical angle and is not spinning, it will fall over due to the force of gravity producing a torque acting on its center of mass. However, if the top is spinning on its axis, it precesses about the vertical direction, rather than topple over due to this torque. Precessional motion is a combination of a steady circular motion of the axis and the...
5.2K

You might also read

Related Articles

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

Sort by
Same author

A Study on Generative Models for Visual Recognition of Unknown Scenes Using a Textual Description.

Sensors (Basel, Switzerland)·2023
Same author

Fuzzy Synchronization of Chaotic Systems with Hidden Attractors.

Entropy (Basel, Switzerland)·2023
Same author

Single-Pixel Near-Infrared 3D Image Reconstruction in Outdoor Conditions.

Micromachines·2022
Same author

Towards Autonomous Drone Racing without GPU Using an OAK-D Smart Camera.

Sensors (Basel, Switzerland)·2021
Same author

A Review on Auditory Perception for Unmanned Aerial Vehicles.

Sensors (Basel, Switzerland)·2020
Same author

DeepPilot: A CNN for Autonomous Drone Racing.

Sensors (Basel, Switzerland)·2020
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 3, 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

A Monocular SLAM-based Controller for Multirotors with Sensor Faults under Ground Effect.

Antonio Matus-Vargas1, Gustavo Rodriguez-Gomez1, Jose Martinez-Carranza1,2

  • 1Department of Computational Science, Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Puebla 72840, Mexico.

Sensors (Basel, Switzerland)
|November 27, 2019
PubMed
Summary
This summary is machine-generated.

This study presents a fault-tolerant control scheme for micro air vehicles experiencing altitude sensor errors due to ground effect. The novel approach uses Simultaneous Localization and Mapping for fault detection and mitigation strategies.

Keywords:
ground effectmultirotorsensor faults

More Related Videos

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

14.1K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.8K

Related Experiment Videos

Last Updated: Jan 3, 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
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

14.1K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.8K

Area of Science:

  • Robotics
  • Aerospace Engineering
  • Control Systems

Background:

  • Multirotor micro air vehicles (MAVs) navigate complex environments, leading to airflow interactions like the ground effect.
  • The ground effect enhances thrust but can cause significant onboard sensor disturbances, particularly affecting altitude readings.
  • Existing control systems may struggle with sensor faults in confined operational spaces.

Purpose of the Study:

  • To develop a fault-tolerant control scheme for multirotor MAVs experiencing altitude sensor faults induced by the ground effect.
  • To implement a novel fault detection mechanism using metric monocular Simultaneous Localization and Mapping (SLAM).
  • To propose and evaluate two distinct fault mitigation strategies using only onboard sensors.

Main Methods:

  • A hierarchical control structure with external Proportional-Derivative (PD) and internal Proportional-Integral (PI) controllers was assumed.
  • A metric monocular SLAM algorithm was employed for detecting internal sensor faults via a weighted residual.
  • Two fault mitigation strategies were designed: one combining the PD controller with residual feedback, and another using sliding mode control for sensor-to-actuator fault compensation.

Main Results:

  • The proposed fault diagnosis scheme effectively identifies internal altitude sensor faults.
  • Both fault mitigation strategies demonstrated effectiveness in simulations and experimental evaluations.
  • The system successfully compensated for sensor faults using only onboard sensor data.

Conclusions:

  • The developed fault-tolerant scheme enables robust operation of multirotor MAVs in environments prone to ground effect disturbances.
  • The integration of SLAM for fault detection offers a novel and effective approach to sensor fault management.
  • The proposed control strategies provide viable solutions for maintaining MAV stability and trajectory tracking despite sensor anomalies.