Results 191 to 200 of about 14,458 (214)
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International Journal of Robust and Nonlinear Control, 2023
This paper investigates the fault‐tolerant control for quadcopter systems with the condition of reducing the bumps of system states. Allowing for the unavailable information of fault detection and identification (FDI) process in reality, a novel fault ...
Bo Cai, Dacheng Pei
semanticscholar +1 more source
This paper investigates the fault‐tolerant control for quadcopter systems with the condition of reducing the bumps of system states. Allowing for the unavailable information of fault detection and identification (FDI) process in reality, a novel fault ...
Bo Cai, Dacheng Pei
semanticscholar +1 more source
Numerical study on interactional aerodynamics of a quadcopter in hover with overset mesh in OpenFOAM
The Physics of Fluids, 2023Interactional aerodynamics of a quadcopter in hover is numerically investigated in this study. The main objective is to understand major flow structures associated with unsteady airloads on multirotor aircraft.
Y. Park, S. Jee
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Real-time object detection and tracking using YOLOv3 network by quadcopter
Mechanics based design of structures and machines, 2023In this article, artificial intelligence is applied for real-time object detection in Tello quadcopters. For this purpose, the YOLOv3 detection algorithm as a highly used deep-learning method is employed.
Mir Abolfazl Mokhtari, M. Taheri
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Covert Attack Detection and Resilient Control of Quadcopter
IEEE Transactions on Industrial InformaticsThis article addresses issues of covert attacks detection and resilient control of quadcopters. In the presence of generalized covert attacks characterized by strong stealth, passive detection techniques prove to be insufficient. Active detection methods
Junhong Wang +6 more
semanticscholar +1 more source
IEEE transactions on industrial electronics (1982. Print), 2022
A novel bidirectional fuzzy brain emotional learning (BFBEL) controller is proposed to control a class of uncertain nonlinear systems such as the quadcopter unmanned aerial vehicle (QUAV).
P. Muthusamy +3 more
semanticscholar +1 more source
A novel bidirectional fuzzy brain emotional learning (BFBEL) controller is proposed to control a class of uncertain nonlinear systems such as the quadcopter unmanned aerial vehicle (QUAV).
P. Muthusamy +3 more
semanticscholar +1 more source
Fixed-Time Disturbance Observer-Based Control for Quadcopter Suspension Transportation System
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2022By considering the under-actuated characteristics of the quadcopter suspension transportation system and the external disturbance, the effective tracking control of the quadrotor transportation system faces great difficulties and challenges.
Wei Liu, Mou Chen, Peng Shi
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ProxFly: Robust Control for Close Proximity Quadcopter Flight Via Residual Reinforcement Learning
IEEE International Conference on Robotics and AutomationThis paper proposes the ProxFly, a residual deep Reinforcement Learning (RL)-based controller for close proximity quadcopter flight. Specifically, we design a residual module on top of a cascaded controller (denoted as basic controller) to generate high ...
Ruiqi Zhang +2 more
semanticscholar +1 more source
Attitude modelling and real-time robust control of a 3-DoF quadcopter UAV test bench
Aeronautical JournalIn this work, a three degrees-of-freedom (3-DoF) static quadcopter unmanned aerial vehicle (UAV) test-rig of a pendulum-type configuration is custom-designed, developed, instrumented, and interfaced with a PC.
S. M. Ahmad, S. Fareed
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Dynamics and Optimal Control of Quadcopter
2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)One of the primary difficulties encountered by researchers when dealing with quadcopters is the inherent coupling of their dynamics, which involve passive dynamics and MIMO nonlinear systems.
A. Abougarair +2 more
semanticscholar +1 more source