Real-time adaptive intelligent control system for quadcopter unmanned aerial vehicles with payload uncertainties

PK Muthusamy, M Garratt, H Pota… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Aerodynamic effects compensation on multi-rotor UAVs based on a neural network control allocation approach

SP Madruga, AHBM Tavares, SOD Luiz… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
This paper shows that the aerodynamic effects can be compensated in a quadrotor system
by means of a control allocation approach using neural networks. Thus, the system …

Parameters tuning of a quadrotor PID controllers by using nature-inspired algorithms

SEI Hasseni, L Abdou, HE Glida - Evolutionary Intelligence, 2021 - Springer
This paper aims to investigate the control of a quadrotor by PID controller. The mathematical
model is derived from Euler–Lagrange approach. Due to nonlinearities, coupling and under …

[HTML][HTML] Adaptive trajectory tracking control for quadrotors with disturbances by using generalized regression neural networks

I Lopez-Sanchez, F Rossomando, R Pérez-Alcocer… - Neurocomputing, 2021 - Elsevier
In this document, the development and experimental validation of a nonlinear controller with
an adaptive disturbance compensation system applied on a quadrotor are presented. The …

Adaptive learning-based observer with dynamic inversion for the autonomous flight of an unmanned helicopter

YC Lai, TQ Le - IEEE Transactions on Aerospace and Electronic …, 2021 - ieeexplore.ieee.org
This article presents the development of an autonomous flight control system for a small-
scale unmanned helicopter based on an online adaptive learning-based observer and …

Neural network-based active fault-tolerant control design for unmanned helicopter with additive faults

S Mokhtari, A Abbaspour, KK Yen, A Sargolzaei - Remote Sensing, 2021 - mdpi.com
A novel adaptive neural network-based fault-tolerant control scheme is proposed for six
degree-of-freedom nonlinear helicopter dynamic. The proposed approach can detect and …

Delivery drone driving cycle

M Perreault, K Behdinan - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Large companies such as Amazon and Google are currently testing deliveries using
unmanned drones, intending to use these drones on the market. Topics tackled in this field …

Fault-tolerant active disturbance rejection control of plant protection of unmanned aerial vehicles based on a spatio-temporal RBF neural network

L Hua, J Zhang, D Li, X Xi - Applied Sciences, 2021 - mdpi.com
This paper presents a fault-tolerant flight control method for a multi-rotor UAV under actuator
failure and external wind disturbances. The control method is based on an active …

Proportional double derivative linear quadratic regulator controller using improvised grey wolf optimization technique to control quadcopter

MN Shauqee, P Rajendran, NM Suhadis - Applied Sciences, 2021 - mdpi.com
A hybrid proportional double derivative and linear quadratic regulator (PD2-LQR) controller
is designed for altitude (z) and attitude (roll, pitch, and yaw) control of a quadrotor vehicle …

Saturated backstepping-based tracking control of a quadrotor with uncertain vehicle parameters and external disturbances

W Xie, W Zhang, C Silvestre - IEEE Control Systems Letters, 2021 - ieeexplore.ieee.org
Knowing the vehicle's parameters (eg, mass, moment of inertia) in advance is not always
possible in quadrotor control applications, especially if we use the quadrotor for cargo …