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

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
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

671
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...
671
PID Controller01:19

PID Controller

870
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...
870
Controller Configurations01:22

Controller Configurations

422
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...
422
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

910
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...
910
Application of Linearization and Approximation01:29

Application of Linearization and Approximation

129
A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
129

You might also read

Related Articles

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

Sort by
Same author

Repurposing nitazoxanide as a novel ferroptosis inducer for triple-negative breast cancer via dual disruption of iron homeostasis and the β-catenin/GPX4 axis.

Redox report : communications in free radical research·2026
Same author

Effects of light-shielding treatment on the quality and flavor of 'Ziyan' tea wine during storage: Insights from color, taste, and aroma.

Food chemistry·2026
Same author

Safety, pharmacokinetics, and preliminary efficacy of hetrombopag in pediatric patients with aplastic anemia: A pilot study.

Annals of hematology·2026
Same author

Optimized post-GWAS analysis identifies therapeutic targets for essential thrombocythemia and polycythemia vera.

Communications medicine·2026
Same author

Lecanemab treatment modulates brain volume and cerebrospinal fluid pathways in early Alzheimer's disease: Insights from longitudinal magnetic resonance imaging.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Bioinspired 4D-Printing Microwave Absorbers With Adaptive Programmable Switches via Morphable Percolation Networks and Resonant Models.

Advanced materials (Deerfield Beach, Fla.)·2026
Same journal

Hybrid vehicle state estimation using closed-form liquid neural networks and nonlinear Kalman filtering.

ISA transactions·2026
Same journal

Cross-coupled synchronization control strategy for rebar binding robots based on impedance control.

ISA transactions·2026
Same journal

Gas flow tracking for electronic pressure control system in gas chromatography under state constraints and hysteresis：An innovative fuzzy adaptive control approach.

ISA transactions·2026
Same journal

Stackelberg differential game-based fuzzy adaptive hierarchical optimal control for a nonlinear system with unknown dynamics.

ISA transactions·2026
Same journal

Composite fault-tolerant predictive control strategy for PMSM demagnetization faults.

ISA transactions·2026
Same journal

Bias-compensated Q-learning for optimal tracking control under denial-of-service attacks.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: Mar 17, 2026

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

12.3K

Singularity-free backstepping controller for model helicopters.

Yao Zou1, Wei Huo1

  • 1The Seventh Research Division, Beihang University, Beijing 100191, China; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.

ISA Transactions
|July 20, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel backstepping controller for model helicopters, enabling singularity-free trajectory tracking. Hyperbolic tangent functions compensate for unmodeled dynamics, ensuring precise control.

Keywords:
Auxiliary dynamic systemBackstepping techniqueModel helicopterSingularity-free controllerTrajectory tracking

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

14.3K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.5K

Related Experiment Videos

Last Updated: Mar 17, 2026

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

12.3K
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

14.3K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.5K

Area of Science:

  • Robotics and Control Systems
  • Aerospace Engineering

Background:

  • Model helicopters face trajectory tracking challenges due to singularities in attitude representation.
  • Unmodeled dynamics further complicate precise control and stability.

Purpose of the Study:

  • To develop a singularity-free backstepping controller for model helicopter trajectory tracking.
  • To address unmodeled dynamics using hyperbolic tangent functions for enhanced control.

Main Methods:

  • A backstepping control technique is employed, integrating position and attitude loops.
  • An auxiliary dynamic system ensures singularity-free command attitude extraction.
  • Hyperbolic tangent functions are utilized to compensate for unmodeled dynamics.

Main Results:

  • The proposed controller achieves singularity-free trajectory tracking for model helicopters.
  • Theoretical criteria for parameter selection and trajectory design are established.
  • Simulations validate the controller's effectiveness and robustness.

Conclusions:

  • The developed backstepping controller effectively overcomes attitude representation singularities.
  • The approach ensures stable and accurate trajectory tracking despite unmodeled dynamics.
  • This research contributes a robust control strategy for unmanned aerial vehicles.