scholarly journals A Data-Driven Adaptive Method for Attitude Control of Fixed-Wing Unmanned Aerial Vehicles

2019 ◽  
Vol 04 (01) ◽  
pp. 1-15
Author(s):  
Meili Chen ◽  
Yuan Wang
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Attitude Control ◽  
Adaptive Method ◽  
Data Driven ◽  
Aerial Vehicles

Robust attitude control for tail-sitter unmanned aerial vehicles in flight mode transitions

2018 ◽  
Vol 29 (4) ◽  
pp. 1132-1149 ◽  
Author(s):  
Deyuan Liu ◽  
Hao Liu ◽  
Zhaoying Li ◽  
Xiaolei Hou ◽  
Qingling Wang
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Attitude Control ◽  
Aerial Vehicles ◽  
Flight Mode ◽  
Mode Transitions

scholarly journals Motion Equations and Attitude Control in the Vertical Flight of a VTOL Bi-Rotor UAV

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 208 ◽  
Author(s):  
Sergio Garcia-Nieto ◽  
Jesus Velasco-Carrau ◽  
Federico Paredes-Valles ◽  
Jose Salcedo ◽  
Raul Simarro
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Attitude Control ◽  
Controller Design ◽  
Experimental Studies ◽  
Hardware In The Loop ◽  
Motion Equations ◽  
Design And Implementation ◽  
Aerial Vehicles ◽  
Attitude Tracking ◽  
Tracking Controller

This paper gathers the design and implementation of the control system that allows an unmanned Flying-wing to perform a Vertical Take-Off and Landing (VTOL) maneuver using two tilting rotors (Bi-Rotor). Unmanned Aerial Vehicles (UAVs) operating in this configuration are also categorized as Hybrid UAVs due to their ability of having a dual flight envelope: hovering like a multi-rotor and cruising like a traditional fixed-wing, providing the opportunity of facing complex missions in which these two different dynamics are required. This work exhibits the Bi-Rotor nonlinear dynamics, the attitude tracking controller design and also, the results obtained through Hardware-In-the-Loop (HIL) simulation and experimental studies that ensure the controller’s efficiency in hovering operation.

Flow Field Image Based Attitude Control for Small Unmanned Aerial Vehicles

2019 ◽  
Vol 55 (6) ◽  
pp. 3442-3453 ◽  
Author(s):  
Kenneth Thompson ◽  
Yunjun Xu ◽  
Benjamin T. Dickinson
Keyword(s):  
Flow Field ◽  
Unmanned Aerial Vehicles ◽  
Attitude Control ◽  
Aerial Vehicles

scholarly journals Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances

2021 ◽  
Vol 11 (21) ◽  
pp. 9830
Author(s):  
Qipeng Wang ◽  
Shulong Zhao ◽  
Xiangke Wang
Keyword(s):  
Unmanned Aerial Vehicles ◽  
External Disturbance ◽  
Tracking Error ◽  
Gaussian Process Regression ◽  
Data Driven ◽  
Consensus Protocol ◽  
Uncertain Dynamics ◽  
Aerial Vehicles ◽  
The Stability ◽  
Coordinated Tracking

In this paper, we consider a control problem where a group of fixed-wing unmanned aerial vehicles (UAVs) with uncertain dynamics tracks the target vehicle cooperatively in the case of external disturbance. Based on the Gaussian process regression, a data-driven model is established, whose uniform error is bounded with probability. Then a learning-based consensus protocol for multi-UAVs is designed. The stability of the system is proven via Lyapunov function, and the tracking error is guaranteed to be bounded with a high probability. Finally, the effectiveness of the proposed method is shown in the numerical simulation.

Compound robust tracking control of disturbed quadrotor unmanned aerial vehicles: A data-driven cascade control approach

2021 ◽  
pp. 014233122110436
Author(s):  
Yongpeng Weng ◽  
Dong Nan ◽  
Ning Wang ◽  
Zhuofu Liu ◽  
Zhe Guan
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Tracking Control ◽  
Sliding Mode ◽  
Cascade Control ◽  
Data Driven ◽  
Unmodeled Dynamics ◽  
Robust Tracking ◽  
Robust Tracking Control ◽  
Aerial Vehicles ◽  
Quadrotor Unmanned Aerial Vehicles

In this paper, the robust trajectory tracking control problem of disturbed quadrotor unmanned aerial vehicles (UAVs) with disturbances, uncertainties and unmodeled dynamics is addressed, by devising a novel compound robust tracking control (CRTC) approach via data-driven cascade control technique. By deploying the data-driven philosophy, a data-based sliding-mode surface is proposed, and thereby contributing to strong adaptability to nonlinearity and model-unknown properties of the UAVs. By utilizing the backstepping technique, virtual control strategy and a novel cascaded compound robust PD control structure, the attitude and position subsystems are efficiently cohered such that a data-driven cascaded compound robust controller containing both PD control and sliding-mode control can be developed to conquer the lumped disturbances induced by uncertainties, disturbances and unmodeled dynamics. Eventually, the asymptotic convergence of the tracking errors with respect to both attitude and position subsystems can be guaranteed rigorously. Simulation studies on a prototype quadrotor UAV are performed to evaluate the efficacy and superiority of the devised CRTC method.

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