Smooth second-order sliding mode control for fully actuated multirotor aerial vehicles.
Jorge A Ricardo1, Davi A Santos1
1Aeronautics Institute of Technology (ITA), Mechatronics Department, Praça Marechal Eduardo Gomes 50, São José dos Campos - SP, 12228-900, Brazil.
ISA Transactions
|February 11, 2022
Summary
This study presents a robust control method for multirotor aerial vehicles, ensuring smooth tracking of attitude and position despite model uncertainties and disturbances. The approach enhances aerial vehicle stability and performance.
Area of Science:
- Robotics
- Control Systems Engineering
- Aerospace Engineering
Background:
- Multirotor aerial vehicles require precise attitude and position control for various applications.
- Model uncertainties and external disturbances pose significant challenges to achieving robust control.
Purpose of the Study:
- To develop a robust and smooth attitude-position tracking control law for fully actuated multirotor aerial vehicles.
- To address matched model uncertainties and disturbances effectively.
Main Methods:
- Derivation of coupled dynamic equations using a multibody approach.
- Design of a novel joint geometric attitude-position control law based on a smooth second-order sliding mode strategy.
- Utilization of a high-order sliding mode disturbance observer for system robustness.
Main Results:
- The proposed control law ensures exponential convergence of tracking errors to the origin.
- The method guarantees overall system robustness against uncertainties and disturbances.
- Numerical simulations demonstrate superior performance compared to existing methods.
Conclusions:
- The developed control strategy offers a robust and effective solution for attitude-position tracking in multirotor aerial vehicles.
- The integration of second-order sliding mode control and disturbance observation enhances system reliability and performance.
Related Concept Videos
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...
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 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...
In the absence...
186
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...
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
Feedback control systems
470
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...
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...
470
One-Degree-of-Freedom System
568
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...
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...
568
Relative Motion Analysis - Acceleration
458
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
458


