A survey on quadrotors: Configurations, modeling and identification, control, collision avoidance, fault diagnosis and tolerant control

H Shraim, A Awada, R Youness - IEEE Aerospace and …, 2018 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) offer a wide range of interesting military and commercial
applications at reduced costs. A couple of their more interesting characteristics include: They …

A review of quadrotor UAV: control methodologies and performance evaluation

R Amin, L Aijun… - International Journal of …, 2016 - inderscienceonline.com
Quadrotor a kind of multirotor unmanned air vehicle has gained popularity within research
community due to its high manoeuvrability, vertical take-off, landing and hovering capability …

[HTML][HTML] Cooperation of unmanned systems for agricultural applications: A theoretical framework

M Mammarella, L Comba, A Biglia, F Dabbene… - Biosystems …, 2022 - Elsevier
Highlights•Autonomous ground and aerial vehicles can lead to improve agriculture
management.•A collaborative scheme based on a multi-phase approach is …

A cooperative particle swarm optimization approach for tuning an MPC-based quadrotor trajectory tracking scheme

A Kapnopoulos, A Alexandridis - Aerospace Science and Technology, 2022 - Elsevier
This paper presents a novel method for tuning a quadrotor trajectory-tracking model
predictive control (MPC) framework, based on cooperative particle swarm optimization …

Active disturbance rejection and predictive control strategy for a quadrotor helicopter

D Ma, Y Xia, T Li, K Chang - IET Control Theory & Applications, 2016 - Wiley Online Library
In this study, an active disturbance rejection and predictive control strategy is presented to
solve the trajectory tracking problem for an unmanned quadrotor helicopter with …

A review on comparative remarks, performance evaluation and improvement strategies of quadrotor controllers

R Roy, M Islam, N Sadman, MAP Mahmud, KD Gupta… - Technologies, 2021 - mdpi.com
The quadrotor is an ideal platform for testing control strategies because of its non-linearity
and under-actuated configuration, allowing researchers to evaluate and verify control …

A model predictive controller for quadrocopter state interception

MW Mueller, R D'Andrea - 2013 European Control Conference …, 2013 - ieeexplore.ieee.org
This paper presents a method for generating quadrocopter trajectories in real time, from
some initial state to a final state defined by position, velocity and acceleration in a specified …

Deep reinforcement learning based path tracking controller for autonomous vehicle

IM Chen, CY Chan - Proceedings of the Institution of …, 2021 - journals.sagepub.com
Path tracking is an essential task for autonomous vehicles (AV), for which controllers are
designed to issue commands so that the AV will follow the planned path properly to ensure …

Quadrotor stabilization under time and space constraints using implicit PID controller

S Wang, A Polyakov, G Zheng - Journal of the Franklin Institute, 2022 - Elsevier
In this paper, the quadrotor stabilization under time and state constraints is studied. The
objective is to design a nonlinear controller under time and state constraint for quadrotor …

Non-linear model predictive control using CasADi package for trajectory tracking of quadrotor

M Elhesasy, TN Dief, M Atallah, M Okasha, MM Kamra… - Energies, 2023 - mdpi.com
In this paper, we present the development of a non-linear model predictive controller for the
trajectory tracking of a quadrotor using the CasADi optimization framework. The non-linear …