A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms
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In this paper , the authors present a clear categorization overview for more than a decade worth of substantial progress in UAVs and explore and examine various vertical take-off and landing (VTOL) configurations, expressing the dynamics, applicable simulation tools and control strategies for a Quadrotor.Abstract:
Abstract Over the past decade, unmanned aerial vehicles (UAVs) have received a significant attention due to their diverse capabilities for non-combatant and military applications. The primary aim of this study is to unveil a clear categorization overview for more than a decade worth of substantial progress in UAVs. The paper will begin with a general overview of the advancements, followed by an up-to-date explanation of the different mechanical structures and technical elements that have been included. The paper will then explore and examine various vertical take-off and landing (VTOL) configurations, followed by expressing the dynamics, applicable simulation tools and control strategies for a Quadrotor. In conclusion to this review, the dynamic system presented will always face limitations such as internal and/or external disturbances. Hence, this can be minimised by the choice of introducing appropriate control techniques or mechanical enhancements. read more
Citations
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Quadcopter Precision Landing on Moving Targets via Disturbance Observer-Based Controller and Autonomous Landing Planner
TL;DR: In this paper , the authors proposed a disturbance observer-based control algorithm, consisting of a nonlinear disturbance observer and robust altitude and attitude controllers, which is based on the quadcopter dynamics model and its stability is strictly proved using Lyapunov's theory.
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Synthesized Landing Strategy for Quadcopter to Land Precisely on a Vertically Moving Apron
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Reinforcement Learning-Based Routing Protocols in Flying Ad Hoc Networks (FANET): A Review
Jan Lansky,Saqib Ali,Amir Masoud Rahmani,Mohammad Sadegh Yousefpoor,Efat Yousefpoor,Faheem Ahmed Khan,Mehdi Hosseinzadeh +6 more
TL;DR: The existing opportunities and challenges in this field are presented to provide a detailed and accurate view for researchers to be aware of the future research directions in order to improve the existing reinforcement learning-based routing algorithms.
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Fuzzy Gain-Scheduling PID for UAV Position and Altitude Controllers
Aurelio G. Melo,Fabio Augusto de Alcantara Andrade,I. Guedes,Guilherme Gonçalves Coelho de Freitas Carvalho,Alessandro Zachi,Milena F. Pinto +5 more
TL;DR: The main contribution of this research work is the development of a novel strategy based on a fuzzy-gain scheduling mechanism to adjust the PID controller to stabilize both position and altitude to be effective, simple, and robust to uncertainties and external disturbances.
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Adaptive neural network-based trajectory tracking outer loop control for a quadrotor
TL;DR: In this paper , an adaptive neural network-based controller for trajectory tracking of quadrotors is proposed, which is conceived as an outer loop controller that interacts with an inner loop controller in a two-loop configuration.
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PID vs LQ control techniques applied to an indoor micro quadrotor
TL;DR: The results of two model-based control techniques applied to an autonomous four-rotor micro helicopter called quadrotor are presented, a classical approach (PID) assumed a simplified dynamics and a modern technique based on a more complete model.
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Classifications, applications, and design challenges of drones: A review
TL;DR: This review paper identifies a novel classification of flying drones that ranges from unmanned air vehicles to smart dusts at both ends of this spectrum, with their new defined applications.
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An integral predictive/nonlinear H∞ control structure for a quadrotor helicopter
TL;DR: An integral predictive and nonlinear robust control strategy to solve the path following problem for a quadrotor helicopter with parametric and structural uncertainties presented to corroborate the effectiveness and the robustness of the proposed strategy.