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 …

Adaptive integral sliding mode control using fully connected recurrent neural network for position and attitude control of quadrotor

SC Yogi, VK Tripathi, L Behera - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
This article proposes an adaptive integral sliding mode control (ISMC) strategy for quadrotor
control that ensures faster and finite-time convergence along with chattering attenuation …

An improved design of an adaptive sliding mode controller for chattering attenuation and trajectory tracking of the quadcopter UAV

A Eltayeb, MF Rahmat, MAM Basri, MAM Eltoum… - IEEE …, 2020 - ieeexplore.ieee.org
Quadcopter unmanned aerial vehicles (UAVs) systems are receiving remarkable attention
from researchers due to their daily use in numerous applications, particularly at the current …

Modeling and sliding mode-based attitude tracking control of a quadrotor UAV with time-varying mass

X Wu, B Xiao, Y Qu - ISA transactions, 2022 - Elsevier
In the practical applications, the mass of a quadrotor unmanned aerial vehicle (UAV) would
be time-varying. This time-varying mass will deteriorate the control performance of UAV. To …

Robust fault-tolerant adaptive integral dynamic sliding mode control using finite-time disturbance observer for coaxial octorotor UAVs

J Sanwale, S Dahiya, P Trivedi, M Kothari - Control Engineering Practice, 2023 - Elsevier
In this paper, the dynamics modeling of coaxial octorotor UAVs is described taking into
account the majority of uncertain factors such as actuator faults, parametric deviations, and …

Robust tracking control strategy for a quadrotor using RPD-SMC and RISE

Z Li, X Ma, Y Li - Neurocomputing, 2019 - Elsevier
This paper proposes a robust hierarchical controller using adaptive radical basis function
neural networks (RBFNNs) based proportional derivative-sliding mode control (RPD-SMC) …

Quadcopter adaptive trajectory tracking control: A new approach via backstepping technique

AT Nguyen, N Xuan-Mung, SK Hong - Applied Sciences, 2019 - mdpi.com
Nowadays, quadcopter unmanned aerial vehicles play important roles in several real-world
applications and the improvement of their control performance has become an increasingly …

Observer-based adaptive fuzzy backstepping tracking control of quadrotor unmanned aerial vehicle powered by Li-ion battery

F Yacef, O Bouhali, M Hamerlain, N Rizoug - Journal of Intelligent & …, 2016 - Springer
In this paper, an Adaptive Fuzzy Backstepping Control (AFBC) approach with state observer
is developed. This approach is used to overcome the problem of trajectory tracking for a …

Adaptive robust motion control of quadrotor systems using artificial neural networks and particle swarm optimization

H Yanez-Badillo, F Beltran-Carbajal, R Tapia-Olvera… - Mathematics, 2021 - mdpi.com
Most of the mechanical dynamic systems are subjected to parametric uncertainty,
unmodeled dynamics, and undesired external vibrating disturbances while are motion …

Integral adaptive sliding mode control for quadcopter UAV under variable payload and disturbance

A Eltayeb, MF Rahmat, MAM Basri, MAM Eltoum… - IEEE …, 2022 - ieeexplore.ieee.org
The quadcopter unmanned aerial vehicle (UAV) system is considered a good platform for
control scheme design as it is highly nonlinear with coupled dynamics and an under …