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

Feedback control systems01:26

Feedback control systems

304
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
304
Controller Configurations01:22

Controller Configurations

94
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...
94
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
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...
106
Control Systems: Applications01:25

Control Systems: Applications

599
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
599
Control Systems01:10

Control Systems

1.1K
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...
1.1K
Open and closed-loop control systems01:17

Open and closed-loop control systems

714
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...
714
  1. Home
  3. Survey Of Advanced Nonlinear Control Strategies For Uavs: Integration Of Sensors And Hybrid Techniques.
  1. Home
  3. Survey Of Advanced Nonlinear Control Strategies For Uavs: Integration Of Sensors And Hybrid Techniques.

Related Experiment Video

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K

Survey of Advanced Nonlinear Control Strategies for UAVs: Integration of Sensors and Hybrid Techniques.

Nadir Abbas1, Zeshan Abbas2, Samra Zafar3

  • 1School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China.

Sensors (Basel, Switzerland)
|June 19, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Advanced nonlinear control strategies are essential for Unmanned Aerial Vehicles (UAVs) due to their complex dynamics. This paper reviews cutting-edge techniques like AI and adaptive controls for improved UAV performance.

Keywords:
UAV dynamicsintelligent controlperturbed MIMO systemrobust adaptive nonlinear controlsensor integration

More Related Videos

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.4K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.2K

Related Experiment Videos

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.4K
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.2K

Area of Science:

  • Control Systems Engineering
  • Robotics
  • Aerospace Engineering

Background:

  • Unmanned Aerial Vehicles (UAVs) exhibit high nonlinearity and coupling effects, challenging traditional control methods.
  • Sophisticated sensors enhance UAV capabilities but necessitate advanced control strategies.
  • Linear control techniques are often insufficient for complex UAV systems.

Purpose of the Study:

  • To survey advanced nonlinear control strategies for UAVs.
  • To highlight the importance of these strategies in addressing UAV complexities.
  • To outline future research directions in UAV control.

Main Methods:

  • Review of nonlinear control strategies, including sliding surface-based, sensor-driven, and AI-based approaches.
  • Analysis of control techniques applied to systems like Twin Rotor MIMO systems (TRMS) and quadrotors.
  • Emphasis on sensor integration and adaptive control methods.

    • Main Results:

    • Advanced nonlinear control strategies offer superior performance compared to linear methods for UAVs.
    • Sensor-based adaptive controls and AI are crucial for enhancing UAV versatility and effectiveness.
    • Diverse control strategies have been developed to manage UAV complexities.

    Conclusions:

    • Nonlinear control is vital for the advancement of UAV technology.
    • Future research should focus on further developing and integrating these advanced control strategies.
    • Effective control is key to unlocking the full potential of UAVs in various applications.