Enhancing Quadrotor UAV Efficiency Amidst Turbulent Winds in Mangrove Area: A Hybrid PID-Grey Wolf Optimizer Control Approach DOI

Mustapha Amine Sadi,

J. Annisa,

A. Kamaruddin

et al.

Published: Oct. 17, 2023

Quadrotor Unmanned Aerial Vehicles (UAVs) offer versatile platforms for various applications including disaster response and environmental monitoring. However, their effective utilization in wind-disturbed environments such as mangroves poses unique challenges due to complex wind turbulence, impacting flight stability navigation accuracy. Traditional control systems often fall short of ensuring robust precise conditions. This study presents a hybrid approach combining Proportional-Integral-Derivative (PID) system with the Grey Wolf Optimizer (GWO) enhanced UAV performance challenging The PID controller, known its effectiveness industrial systems, provides loop feedback mechanism minimize errors, while GWO, bio-inspired optimization algorithm, automates process tuning parameters. Preliminary results show that this PID-GWO significantly improves UAV's robustness adaptability under varying conditions, outperforming standalone controller. research illuminates new direction optimizing suggests further exploration techniques systems.

Language: Английский

Unmanned aerial vehicles (UAVs): an adoptable technology for precise and smart farming DOI Creative Commons

Sujith Makam,

Bharath Kumar Komatineni,

Sanwal Singh Meena

et al.

Discover Internet of Things, Journal Year: 2024, Volume and Issue: 4(1)

Published: Sept. 9, 2024

Language: Английский

Citations

10
Robust Adaptive Fault-Tolerant Control of Quadrotor Unmanned Aerial Vehicles DOI Creative Commons
Imil Hamda Imran, Nezar M. Alyazidi, Ahmed Eltayeb

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(11), P. 1767 - 1767

Published: June 6, 2024

The paper introduces a robust adaptive fault-tolerant control system for the six-degree-of-freedom (six-DOF) dynamics of quadrotor unmanned aerial vehicles (UAVs), incorporating disturbances and abrupt actuator faults to represent real-world conditions. proposed scheme employs terms manage unknown disturbances. However, performance may degrade due sudden fault impacts. To handle this issue, we introduce laws ensure continuous adaptation. architecture ensures tracking system’s stability by combining using sliding-mode (SMC) with developed certainty equivalence principle. sliding-surface error limits laws, in which convergence estimated parameters actual variables is not required as they fully rely on error. We provide rigorous mathematics validate design. Furthermore, conduct numerical simulations UAV showcase effectiveness scheme. results demonstrate efficacy design handling external faults.

Language: Английский

Citations

4
Adaptive PID Control via Sliding Mode for Position Tracking of Quadrotor MAV: Simulation and Real-Time Experiment Evaluation DOI Creative Commons
Aminurrashid Noordin, Mohd Ariffanan Mohd Basri, Z. Mohamed

et al.

Aerospace, Journal Year: 2023, Volume and Issue: 10(6), P. 512 - 512

Published: May 29, 2023

The lightweight nature of micro air vehicles (MAVs) makes them highly sensitive to perturbations, thus emphasizing the need for effective control strategies that can sustain attitude stability throughout translational movement. This study evaluates performance two controllers (Proportional-Integral-Derivative (PID) and Adaptive PID based on Sliding Mode Control (SMC)) a MAV is subjected external disturbances. These are initially simulated using MATLAB®/Simulink™ then implemented in real-time Parrot Mambo Minidrone. observation waypoint follower orbit both simulation experiment showed (APID) controller more robust than against disturbances such as wind gusts. provides evidence potential APID scheme enhancing resilience MAVs, making suitable various applications including surveillance, search rescue, environmental monitoring.

Language: Английский

Citations

10
Enhancing aerial robots performance through robust hybrid control and metaheuristic optimization of controller parameters DOI

Yunes Alqudsi,

Radhwan A. A. Saleh, Murat Makaracı

et al.

Neural Computing and Applications, Journal Year: 2023, Volume and Issue: 36(1), P. 413 - 424

Published: Nov. 11, 2023

Language: Английский

Citations

10
Design and aerodynamic analysis of a samara-inspired unmanned aerial vehicle DOI Open Access

Hongming Shi

Journal of Physics Conference Series, Journal Year: 2025, Volume and Issue: 2977(1), P. 012018 - 012018

Published: March 1, 2025

Abstract This paper presents the design and aerodynamic analysis of a novel unmanned aerial vehicle (UAV) inspired by samara seed’s natural flight mechanics. The UAV is designed to emulate self-stabilizing spin behavior winged seed during descent, offering an innovative approach swarm applications. aircraft incorporates spinning wing, load-bearing fuselage, integrated propulsion control systems, optimized for both military civilian use. Using computational fluid dynamics (CFD) simulations, performance was evaluated under various operational conditions, focusing on lift generation, stability, dynamics. results demonstrate that samara-inspired achieves stable adequate carry payload while maintaining lateral stability. Potential applications this include precision delivery, reconnaissance, environmental monitoring.

Language: Английский

Citations

0
Optimal Gain Scheduling for Fault-Tolerant Control of Quadrotor UAV Using Genetic Algorithm-Based Neural Network DOI
Khaled Redhwan Surur,

Ibrahim Kabir,

Ghali Ahmad

et al.

Arabian Journal for Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Language: Английский

Citations

0
Robust FOSMC of a Quadrotor in the Presence of Parameter Uncertainty DOI Creative Commons
Fahad Alqahtani, Mujahed Al‐Dhaifallah, Sami El Ferik

et al.

Drones, Journal Year: 2025, Volume and Issue: 9(4), P. 303 - 303

Published: April 11, 2025

This study addresses the problem of attitude and altitude tracking for a quadrotor system in presence parameter uncertainties. The goal is to develop robust control strategy that can handle nonlinear, strongly coupled dynamics quadrotor. To achieve this, we propose fractional-order sliding mode (FOSMC) scheme, which specifically designed improve performance under uncertain parameters. FOSMC approach combined with additional adaptive laws further enhance robustness system. We derive necessary apply them quadrotor’s state-space representation, ensuring remains stable performs accurately Numerical simulations are conducted evaluate effectiveness proposed strategy. results show FOSMC-based controller successfully achieves precise both altitude, demonstrating significant against variations disturbances. In conclusion, scheme provides reliable solution controlling systems environments, offering potential real-world applications autonomous UAV operations.

Language: Английский

Citations

0
Nonlinear Mathematical Modeling and Robust Control of UAV Formation Under Parametric Variations and External Disturbances DOI Creative Commons
Claudia Verónica Vera Vaca, S. Di Gennaro, Claudia Carolina Vaca García

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(9), P. 1520 - 1520

Published: May 5, 2025

This paper introduces a robust formation control strategy for Unmanned Aerial Vehicles (UAVs) designed to maintain coordinated trajectories and relative positioning in three-dimensional space. The proposed methodology addresses the challenges of parametric uncertainties external disturbances by employing backstepping-based framework with integrated proportional-integral virtual controls. stabilizes tracking errors x, y, z axes, ensuring that UAVs cohesive even presence dynamic model variations environmental perturbations. approach combines models UAV motion, incorporating translational rotational behaviors, decomposition distances leader’s local reference frame ensure precise control. enhances stability, trajectory tracking, disturbance rejection. Validation through MATLAB-Simulink simulations demonstrates effectiveness strategy, showcasing its ability adherence under diverse operating conditions. results emphasize robustness flexibility approach, making it suitable demanding applications requiring multi-UAV coordination.

Language: Английский

Citations

0
Interval type-2 fuzzy PID cascade control of quadrotor based on non-dominated sorting genetic algorithm-II DOI
Halit UFACIK, Ö. Fatih Keçecioğlu

The Aeronautical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 36

Published: May 5, 2025

Abstract It is known that interval type-2 fuzzy logic controllers (IT2FLC) with footprint of uncertainty (FOU) in terms membership function (MF) have been developed as an effective control method to ensure systems where uncertainties and nonlinear situations are high, such quadrotor control, the subject many studies. Designing optimising parameters IT2FLC complex time-consuming. To overcome this situation, optimisation based on NSGA-II (Non-dominated Sorting Genetic Algorithm) was applied. ITAE (Integral Time Absolute Error) chosen performance criterion. IT2FLC-NSGA-PID NSGA-PID were compared it observed controller gave better results. As a result, superiority proposed over other overshoot ratio, faster settling time, lower steady state error robust system response against disturbances systems.

Language: Английский

Citations

0
An Adaptive PID Control System for the Attitude and Altitude Control of a Quadcopter DOI Open Access
Leszek Cedro, Krzysztof Wieczorkowski, Adam Szcześniak

et al.

Acta Mechanica et Automatica, Journal Year: 2023, Volume and Issue: 18(1), P. 29 - 39

Published: Dec. 30, 2023

Abstract In adaptive model-based control systems, determining the appropriate controller gain is a complex and time-consuming task due to noise external disturbances. Changes in parameters were assumed be dependent on quadcopter mass, which was process variable. A nonlinear model of plant used identify employing weighted recursive least squares (WRLS) method for online identification. The identification processes involved filtration using differential filters, provided derivatives signals. Proportional integral derivative (PID) tuning performed Gauss–Newton optimisation procedure plant. Differential filters played crucial role all developed systems by significantly reducing measurement noise. results showed that performance classical PID controllers can improved scheduling. algorithms implemented an National Instruments (NI) myRIO-1900 controller. built based Newton’s equations.

Language: Английский

Citations

8