Neural network-based self-learning of an adaptive strictly negative imaginary tracking controller for a quadrotor transporting a cable-suspended payload with minimum …

VP Tran, F Santoso, MA Garrat… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we introduce an adaptive strictly negative-imaginary (SNI) autopilot for a low-
cost quadrotor aerial vehicle, specifically designed to achieve high precision hovering and …

Target tracking strategy using deep deterministic policy gradient

S You, M Diao, L Gao, F Zhang, H Wang - Applied Soft Computing, 2020 - Elsevier
To address the challenge of maintaining high robustness of target tracking in a 3D dynamic
high-altitude scenario, this paper presents a method to formulate continuous strategic …

Robust adaptive control of maximum power point tracking for wind power system

P Chen, D Han, KC Li - IEEE Access, 2020 - ieeexplore.ieee.org
A novel data-driven robust approximate optimal Maximum Power Point Tracking (MPPT)
control method is proposed for the wind power generation system by using the adaptive …

Data-driven tracking control based on LM and PID neural network with relay feedback for discrete nonlinear systems

J Hao, G Zhang, W Liu, Y Zheng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, a hybrid algorithm of Levenberg-Marquardt (LM) and proportional-integral-
derivative neural network (PIDNN) with the relay feedback (LM-PIDNN-RF) is proposed to …

Global saturated tracking control of a quadcopter with experimental validation

W Xie, G Yu, D Cabecinhas, R Cunha… - IEEE Control Systems …, 2020 - ieeexplore.ieee.org
This letter addresses the design of a global saturated trajectory tracking controller for a
quadcopter in the presence of external disturbances. The proposed control law guarantees …

Neural-networks control for hover to high-speed-level-flight transition of ducted fan uav with provable stability

Z Cheng, H Pei, S Li - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we focus on the transition control of a ducted fan vertical take-off and landing
(VTOL) unmanned aerial vehicle (UAV). To achieve a steady transition from hover to high …

Fuzzy self-tuning of strictly negative-imaginary controllers for trajectory tracking of a quadcopter unmanned aerial vehicle

VP Tran, F Santoso, MA Garratt… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Robustness in the face of uncertainties is an integral part of designing a real-time control
system. Based on negative imaginary (NI) systems theory, we design robust and adaptive …

Cooperative path following control of multiple quadcopters with unknown external disturbances

W Xie, D Cabecinhas, R Cunha… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we address the task of cooperative path following control of multiple
autonomous quadcopters in the presence of unknown external disturbances. Under the …

Multilayer interval type-2 fuzzy controller design for quadcopter unmanned aerial vehicles using Jaya algorithm

TL Le, NV Quynh, NK Long, SK Hong - IEEE Access, 2020 - ieeexplore.ieee.org
This study presents a multilayer interval type-2 fuzzy controller for controlling quadcopter
unmanned aerial vehicles, and its main contribution is the design of a multilayer structure in …

Adaptive Control of Neuro Fuzzy PID for Fixed Wing UAV Flight Stability

E Irmawan, EE Prasetiyo - Jurnal Nasional Teknik Elektro dan …, 2020 - journal.ugm.ac.id
Abstract Unmanned Aerial Vehicle (UAV), especially fixed wing, are widely used to carry out
various missions, namely civil and military missions. To support the implementation of this …