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Journal articles on the topic 'Quadrotor MAV'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Lei, Yao, Yiyong Huang, and Hengda Wang. "Effects of Wind Disturbance on the Aerodynamic Performance of a Quadrotor MAV during Hovering." Journal of Sensors 2021 (April 21, 2021): 1–13. http://dx.doi.org/10.1155/2021/6681716.

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Wind disturbance could render thrust and power variation or even causing roll which is difficult to maintain a steady flight in gust especially when the horizontal or vertical wind is involved. In this paper, the horizontal wind and vertical wind are presented to study the influence of wind disturbance on aerodynamic characteristics of the quadrotor aircraft in hovering by experiments and numerical simulations. First, the simplified aerodynamic model with the wind disturbance was analyzed in detail. Also, the low-speed wind tunnel tests were performed to obtain the thrust and power variation o

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2

Noordin, A., M. A. M. Basri, and Z. Mohamed. "Simulation and experimental study on PID control of a quadrotor MAV with perturbation." Bulletin of Electrical Engineering and Informatics 9, no. 5 (2020): 1811–18. http://dx.doi.org/10.11591/eei.v9i5.2158.

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This paper presents a proportional-integral-derivative (PID) flight controller for a quadrotor micro air vehicle (MAV). The MAV (Parrot Mambo minidrones) is small, therefore, a slight perturbation will affect its performance. Hence, for the actuated dynamics, roll (ϕ), pitch (θ), yaw (ψ), and z stabilization, a PID control scheme is proposed. Furthermore, the same controller technique is also applied for under-actuated dynamics x and y position control. The newtonian model is simulated using simulink with a normal Gaussian noise of force as external disturbances. using simulink support package

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3

A., Noordin, A. M. Basri M., and Mohamed Z. "Simulation and experimental study on PID control of a quadrotor MAV with perturbation." Bulletin of Electrical Engineering and Informatics 9, no. 5 (2020): 1811–18. https://doi.org/10.11591/eei.v9i5.2158.

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This paper presents a proportional-integral-derivative (PID) flight controller for a quadrotor micro air vehicle (MAV). The MAV (Parrot Mambo minidrones) is small, therefore, a slight perturbation will affect its performance. Hence, for the actuated dynamics, roll (ϕ), pitch (θ), yaw (ψ), and z stabilization, a PID control scheme is proposed. Furthermore, the same controller technique is also applied for under-actuated dynamics x and y position control. The newtonian model is simulated using simulink with a normal Gaussian noise of force as external disturbances. using simulink suppo

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4

Yadav, Indrajeet, Michael Sebok, and Herbert G. Tanner. "Receding horizon navigation and target tracking for aerial detection of transient radioactivity." International Journal of Robotics Research 42, no. 3 (2023): 66–82. http://dx.doi.org/10.1177/02783649231169803.

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The paper presents a receding horizon planning and control strategy for quadrotor-type micro aerial vehicle (mav)s to navigate reactively and intercept a moving target in a cluttered unknown and dynamic environment. Leveraging a lightweight short-range sensor that generates a point-cloud within a relatively narrow and short field of view (fov), and an ssd-MobileNet based Deep neural network running on board the mav, the proposed motion planning and control strategy produces safe and dynamically feasible mav trajectories within the sensor fov, which the vehicle uses to autonomously navigate, pu

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5

Bouchaib, Ali, Rachid Taleb, Abderrahmen Benbouali, Taieb Bessaad, and Hemza Saidi. "High dynamic performance based by sliding mod control of quadrotor MAV." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e8988. http://dx.doi.org/10.54021/seesv5n2-318.

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The paper focuses on strong control of high dynamic performance based on the sliding mode in order to control the quadrotor MAV. The model used in the simulation is the Newton-Euler model, and also choose the Mambo Parrot quadrotor parameters, to improve the latter's performance in terms of accuracy and robustness in case the impedance control chosen by the manufacturer needs to be changed. The results of which gave effectiveness and efficiency compared to classical controls PID and sliding mode. High dynamic performance control (HDP) is a type of control system designed to provide the highest

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6

Briliauskas, Mantas. "Learning Stabilization Control of Quadrotor in Near-Ground Setting Using Reinforcement Learning." Information Technology and Control 53, no. 1 (2024): 237–42. http://dx.doi.org/10.5755/j01.itc.53.1.35135.

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With the development of intelligent systems, the popularity of using micro aerial vehicles (MAV) increases significantly in the fields of rescue, photography, security, agriculture, and warfare. New modern solutions of machine learning like ChatGPT that are fine-tuned using reinforcement learning (RL) provides evidence of new trends in seeking general artificial intelligence. RL has already been proven to work as a flight controller for MAV performing better than Proportional Integral Derivative (PID)-based solutions. However, using negative Euclidean distance to the target point as the reward

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7

Lei, Yao, and Hengda Wang. "Aerodynamic Performance of a Quadrotor MAV Considering the Horizontal Wind." IEEE Access 8 (2020): 109421–28. http://dx.doi.org/10.1109/access.2020.3002706.

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8

Cheng, Xiaoqi, Xinfeng Liang, Xiaosong Li, Zhimin Liu, and Haishu Tan. "Autonomous Landing Strategy for Micro-UAV with Mirrored Field-of-View Expansion." Sensors 24, no. 21 (2024): 6889. http://dx.doi.org/10.3390/s24216889.

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Positioning and autonomous landing are key technologies for implementing autonomous flight missions across various fields in unmanned aerial vehicle (UAV) systems. This research proposes a visual positioning method based on mirrored field-of-view expansion, providing a visual-based autonomous landing strategy for quadrotor micro-UAVs (MAVs). The forward-facing camera of the MAV obtains a top view through a view transformation lens while retaining the original forward view. Subsequently, the MAV camera captures the ground landing markers in real-time, and the pose of the MAV camera relative to

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9

Li, Yamin, Bowen Sun, Ping Xia, and Yang Yang. "Energy-Optimal 3D Path Planning for MAV with Motion Uncertainty." Complexity 2021 (October 18, 2021): 1–6. http://dx.doi.org/10.1155/2021/9994680.

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Practical applications of microaerial vehicle face significant challenges including imprecise localization, limited on-board energy, and motion uncertainty. This paper focuses on the latter two issues. The core of proposed energy-optimal path planning algorithm is an energy consumption model deriving from real measurements of a specific quadrotor and utilizing a 2D Gaussian distribution function to simulate the uncertainty of random drift. Based on these two models, we formulate the optimal path traversing the 3D map with minimum energy consumption using a heuristic ant colony optimization. Mu

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10

Noordin, Aminurrashid, Mohd Ariffanan Mohd Basri, and Zaharuddin Mohamed. "Position and Attitude Tracking of MAV Quadrotor Using SMC-Based Adaptive PID Controller." Drones 6, no. 9 (2022): 263. http://dx.doi.org/10.3390/drones6090263.

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A micro air vehicle (MAV) is physically lightweight, such that even a slight perturbation could affect its attitude and position tracking. To attain better autonomous flight system performance, MAVs require good control strategies to maintain their attitude stability during translational movement. However, the available control methods nowadays have fixed gain, which is associated with the chattering phenomenon and is not robust enough. To overcome the aforementioned issues, an adaptive proportional integral derivative (PID) control scheme is proposed. An adaptive mechanism based on a second-o

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11

CHEN Xiang-jian, 陈向坚, 李迪 LI Di, 续志军 XU Zhi-jun, and 苏东风 SU Dong-feng. "Adaptive control of quadrotor MAV using interval type-II fuzzy neural network." Optics and Precision Engineering 20, no. 6 (2012): 1334–41. http://dx.doi.org/10.3788/ope.20122006.1334.

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12

Noordin, Aminurrashid, Mohd Ariffanan Mohd Basri, and Zaharuddin Mohamed. "Real-Time Implementation of an Adaptive PID Controller for the Quadrotor MAV Embedded Flight Control System." Aerospace 10, no. 1 (2023): 59. http://dx.doi.org/10.3390/aerospace10010059.

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This paper presents the real-time implementation of an altitude-embedded flight controller using proportional, integral, and derivative (PID) control, adaptive PID (APID) control, and adaptive PID control with a fuzzy compensator (APIDFC) for a micro air vehicle (MAV), specifically, for a Parrot Mambo Minidrone. In order to obtain robustness against disturbance, the adaptive mechanism, which was centered on the second-order sliding mode control, was applied to tune the classical parameters of the PID controller of the altitude controller. Additionally, a fuzzy compensator was introduced to dim

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13

Pebrianti, Dwi, Muhammad Syafiq Suhaimi, Luhur Bayuaji, and Md Jobaher Hossain. "Exploring Micro Aerial Vehicle Mechanism and Controller Design Using Webots Simulation." MEKATRONIKA 5, no. 2 (2023): 41–49. http://dx.doi.org/10.15282/mekatronika.v5i2.9824.

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Quadrotor Micro Aerial Vehicle (MAV) is one of the Unmanned Aerial Vehicle (UAV) which very versatile with their capabilities for specific purposes. Understanding and controlling MAV is important for various applications, from surveillance and delivery services to disaster response and entertainment. In engineering education, providing a hardware platform for understanding MAV mechanism and the controller design is very challenging in terms of cost and safety issue. This paper presents a study on drone mechanisms and controller design using Webots, a versatile robot simulation environment. The

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14

Pebrianti, Dwi, Wong Jack Kee, Luhur Bayuaji, and Achmad Solichin. "Navigating Urban Skies: Obstacle Avoidance Strategies for Quadrotor MAVs." Journal of Physics: Conference Series 2866, no. 1 (2024): 012039. http://dx.doi.org/10.1088/1742-6596/2866/1/012039.

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Abstract Micro Aerial Vehicles (MAVs) has gained attentions since more than two decades ago starting from the applications in air combat up to civil applications such as packet deliveries, environmental monitoring, and surveillance. In an environment such as cities that grows denser, navigation and control for drones becomes challenging to ensure safe navigation around buildings and other obstacles. This study proposes an approach for obstacle avoidance for MAVs by using ultrasonic sensors. Four sensors are strategically positioned to cover the front, right, back, and left directions. Addition

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15

Hu, Hanjie, Yu Wu, Jinfa Xu, and Qingyun Sun. "Cuckoo search-based method for trajectory planning of quadrotor in an urban environment." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 12 (2019): 4571–82. http://dx.doi.org/10.1177/0954410019827395.

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Express by micro aerial vehicle (MAV) becomes more and more popular because it can avoid the influence of terrain and save more space for taking-off and landing of aircraft. At present, quadrotor is often used in the express industry due to its flexibility and easy operation, and the flight trajectory plays an important role in the efficiency and safety level of express service. In this paper, the trajectory planning problem is studied for quadrotor delivering goods in urban environment with the purpose of avoiding the heavy ground traffic, and a cuckoo search (CS)-based trajectory planning me

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16

Castañeda, Herman, and J. L. Gordillo. "Spatial Modeling and Robust Flight Control Based on Adaptive Sliding Mode Approach for a Quadrotor MAV." Journal of Intelligent & Robotic Systems 93, no. 1-2 (2018): 101–11. http://dx.doi.org/10.1007/s10846-018-0819-3.

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17

Chen, Xiangjian, Di Li, Zhijun Xu, and Yue Bai. "Robust control of quadrotor MAV using self‐organizing interval type‐II fuzzy neural networks (SOIT‐IIFNNs) controller." International Journal of Intelligent Computing and Cybernetics 4, no. 3 (2011): 397–412. http://dx.doi.org/10.1108/17563781111160057.

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18

Holub, A. P., V. B. Zudov, B. Ya Lokshin, and Y. D. Selyutskiy. "On Robust Stabilization of Motion of a Quadrotor with Slung Load." Mekhatronika, Avtomatizatsiya, Upravlenie 25, no. 9 (2024): 490–500. http://dx.doi.org/10.17587/mau.25.490-500.

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One of the important tasks that can be performed by quadrotors is the transportation of various payloads. If the load is suspended from the quadrotor and can move relative to the quadrotors body, this motion must be taken into account in the control system, in particular, in order to suppress and prevent unwanted oscillations of the load. In the present paper, a mechanical system is considered that consists of a quadrotor and a load suspended to it with a weightless rod. It is assumed that the cross-sectional area of the load is large enough so that the aerodynamic forces acting on it cannot b

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19

Shavin, M., and D. Pritykin. "Tilt-Rotor Quadrotor Control System Design and Mobile Object Tracking." Mekhatronika, Avtomatizatsiya, Upravlenie 20, no. 10 (2019): 629–39. http://dx.doi.org/10.17587/mau.20.629-639.

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We design the navigation and control system for unmanned aerial vehicle (UAV) with four tilting rotors. The considered UAV implements the so-called X-sceme, which implies the main body and four symmetrical beams, upon which rotors with propellers are mounted. It is different from the classical quadrotor by having four additional servomotors that may change the orientation of the rotors with respect t the main body, thus increasing the control parameters number. Greater number of the actuators in the system, on the one hand, opens new venues for UAVs’ applications but, on the other hand, makes

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20

Manecy, Augustin, Nicolas Marchand, Franck Ruffier, and Stéphane Viollet. "X4-MaG: A Low-Cost Open-Source Micro-Quadrotor and its Linux-Based Controller." International Journal of Micro Air Vehicles 7, no. 2 (2015): 89–109. http://dx.doi.org/10.1260/1756-8293.7.2.89.

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21

Suparta, W., A. Basuki, and M. Arsyad. "The development of quadcopter using Arducopter APM 2.8 with autopilot for tracking point of drop-off goods." IOP Conference Series: Earth and Environmental Science 1151, no. 1 (2023): 012032. http://dx.doi.org/10.1088/1755-1315/1151/1/012032.

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Abstract This research reported the development of a drone withinside the shape of a quadrotor to track positions over a certain geographic area on autopilot. The system includes an Ardupilot Mega (APM) 2.8 flight controller, Ublox NEO M8N GPS module with compass, Racerstar 920kV 2-4S Brushless Motor, Flysky Receiver FS-iA6B with FS-i6 Remote Control Transmitter, DJI F450 quadcopter frame kits with touchdown tools skid, and a LiPo Battery 3300 mAh 35C. The ground control system is set up and run through an open-source software so-known as Mission Planner. The tracking system is evolved as a pa

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22

Suparta, Wayan, and Trie Handayani. "Development of Quadcopter for Atmospheric Data Collection." JURNAL INFOTEL 14, no. 1 (2022): 57–64. http://dx.doi.org/10.20895/infotel.v14i1.727.

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This research aims to develop a quadrotor system as unmanned aircraft vehicles (UAVs, or drones) for monitoring atmospheric conditions in a targeted area. The system consists of an APM 2.8 arducopter flight controller, Ublox NEO M8N GPS module with compass, Racerstar 920kV 2-4S Brushless Motor, Flysky Receiver FS-iA6B with FS-i6 Remote Control Transmitter, DJI F450 quadcopter frame kits with tall landing gear skid, and a LiPo Battery 3300 mAh 35C. The system is set up and run through a Mission Planner. As for monitoring atmospheric conditions, the system consists of an Arduino Uno ATmega328P,

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23

Lu, Kaiwen, Zhong Yang, Luwei Liao, et al. "Extended state observer-based robust control of an omnidirectional quadrotor with tiltable rotors." Transactions of the Institute of Measurement and Control, November 22, 2020, 014233122096642. http://dx.doi.org/10.1177/0142331220966427.

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A quadrotor with tiltable rotors is a kind of omnidirectional multirotor aerial vehicle (MAV) that has demonstrated advantages of decoupling control of position from the control of orientation. However, quadrotors with tiltable rotors usually suffer from Coriolis term, modeling error and external disturbance. To this end, the extended state observer (ESO)-based controller is designed to estimate and compensate for the above adverse effects. Especially, the controller involves position and attitude controller in parallel. The attitude controller is made up of cascade control-loops: an outer qua

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