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Journal articles on the topic 'Drone controllers'

Author: Grafiati

Published: 12 December 2022

Last updated: 31 July 2025

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1

Amertet, Sairoel, Girma Gebresenbet, and Hassan Mohammed Alwan. "Modeling of Unmanned Aerial Vehicles for Smart Agriculture Systems Using Hybrid Fuzzy PID Controllers." Applied Sciences 14, no. 8 (2024): 3458. http://dx.doi.org/10.3390/app14083458.

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Unmanned aerial vehicles have a wide range of uses in the military field, non-combat situations, and civil works. Due to their ease of operation, unmanned aerial vehicles (UAVs) are highly sought after by farmers and are considered the best agricultural technologies, since different types of controller algorithms are being integrated into drone systems, making drones the most affordable option for smart agriculture sectors. PID controllers are among the controllers frequently incorporated into drone systems. Although PID controllers are frequently used in drones, they have some limitations, su

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Amal, Chabir, Abid Aicha, and Ben Hmed Mouna. "Optimizing Drone Control for Wind Turbine Inspection." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 20 (April 7, 2025): 72–80. https://doi.org/10.37394/23203.2025.20.9.

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The paper discusses using drones for monitoring and diagnosis of issues related to wind turbine performance. The drone system helps find out why wind turbines aren't working as well as they should. It can spot problems like broken parts or weather issues. Plus, it keeps an eye on birds around the turbines, checking for nests on the structures. Using drones like this makes turbine maintenance and environmental checks much easier and cheaper, and it's also safer than the old ways. To make sure the drone works perfectly, we used MATLAB to create a model of it, using both PID and FOPID controllers

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Kim, Isaac, Hyun-geun Kim, In-young Kim, Sung-yup Ohn, and Sung-do Chi. "Event-Based Emergency Detection for Safe Drone." Applied Sciences 12, no. 17 (2022): 8501. http://dx.doi.org/10.3390/app12178501.

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Quadrotor drones have rapidly gained interest recently. Numerous studies are underway for the commercial use of autonomous drones, and distribution businesses especially are taking serious reviews on drone-delivery services. However, there are still many concerns about urban drone operations. The risk of failures and accidents makes it difficult to provide drone-based services in the real world with ease. There have been many studies that introduced supplementary methods to handle drone failures and emergencies. However, we discovered the limitation of the existing methods. Most approaches wer

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Wang, Yang, Huichuan Xia, Yaxing Yao, and Yun Huang. "Flying Eyes and Hidden Controllers: A Qualitative Study of People’s Privacy Perceptions of Civilian Drones in The US." Proceedings on Privacy Enhancing Technologies 2016, no. 3 (2016): 172–90. http://dx.doi.org/10.1515/popets-2016-0022.

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Abstract Drones are unmanned aircraft controlled remotely or operated autonomously. While the extant literature suggests that drones can in principle invade people’s privacy, little is known about how people actually think about drones. Drawing from a series of in-depth interviews conducted in the United States, we provide a novel and rich account of people’s privacy perceptions of drones for civilian uses both in general and under specific usage scenarios. Our informants raised both physical and information privacy issues against government, organization and individual use of drones. Informan

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Okulski, Michał, and Maciej Ławryńczuk. "How Much Energy Do We Need to Fly with Greater Agility? Energy Consumption and Performance of an Attitude Stabilization Controller in a Quadcopter Drone: A Modified MPC vs. PID." Energies 15, no. 4 (2022): 1380. http://dx.doi.org/10.3390/en15041380.

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Increasing demand for faster and more agile Unmanned Aerial Vehicles (UAVs, drones) is observed in many scenarios, including but not limited to medical supply or Search-and-Rescue (SAR) missions. Exceptional maneuverability is critical for robust obstacle avoidance during autonomous flights. A novel modification to the Model Predictive Controller (MPC) is proposed, which drastically improves the speed of the attitude controller of our quadcopter drone. The modified MPC is suitable for the onboard microcontroller and the 400 Hz main control loop. The peak and total energy consumption and the pe

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Salih, Zulfiqar, and Muna Hadi Saleh. "Attitude and Altitude Control of Quadrotor Carrying a Suspended Payload using Genetic Algorithm." Journal of Engineering 28, no. 5 (2022): 25–40. http://dx.doi.org/10.31026/j.eng.2022.05.03.

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The need for quick airborne transportation is critical, especially in emergencies. Drones with suspended payloads might be used to accomplish quick airborne transportation. Due to the environment or the drone's motion, the slung load may oscillate and lead the drone to fall. The altitude and attitude controls are the backbones of the drone's stability, and they must be adequately designed. Because of their symmetrical and simple structure, quadrotor helicopters are one of the most popular drone classes. In this work, a genetic algorithm with two weighted terms fitness function is used to adjus

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Kadhim, Esraa Hadi, and Ahmad T. Abdulsadda. "Mini Drone Linear and Nonlinear Controller System Design and Analyzing." Journal of Robotics and Control (JRC) 3, no. 2 (2022): 212–18. http://dx.doi.org/10.18196/jrc.v3i2.14180.

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Choosing the mini-drone for a specific payload for designing purposes is one of the most challenging for both cost and design purposes. It is important to develop and analyze the flight control systems of the quadcopter-type Parrot mini drone and how to make the drones more tolerant of adverse weather conditions. The main problem with any quadcopter is that it loses its balance when exposed to any external influence, even if that influence is weak. Where the controller is the most important part of the drone, six plane controllers cover the six degrees of freedom (6dof) in the movement of the

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Pham, Duc-Anh, and Seung-Hun Han. "Design of Combined Neural Network and Fuzzy Logic Controller for Marine Rescue Drone Trajectory-Tracking." Journal of Marine Science and Engineering 10, no. 11 (2022): 1716. http://dx.doi.org/10.3390/jmse10111716.

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In recent years, the research on drones has increased rapidly because of its high applicability in many fields and its great development potential. In the maritime sector too, especially marine rescue, a Drone with a compact size and fast flight speed is an effective solution in search and surveillance, giving quick results and being very convenient. When operating at sea, marine rescue drones are often affected by the environment, especially wind, which leads to turbulence that causes the drone to deviate from its predetermined flight trajectory. To overcome the above problem, the author has

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Faki, Aariz. "Gesture Control Drone: Using Gloves." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41378.

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Gesture-controlled drones represent a significant advancement in human-computer interaction, allowing users to operate drones using simple hand movements without the need for traditional controllers. This technology utilizes computer vision, machine learning, and sensor-based systems to interpret gestures and translate them into drone commands such as takeoff, landing, movement, and hovering. A typical gesture-controlled drone employs a combination of cameras, accelerometers, gyroscopes, and deep learning models to recognize predefined gestures in real-time. Image processing techniques, such a

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Al-hamadani, Samer, Izzat Al-Darraji, and Houssem Jerbi. "Improving Barcode Vision Scanning Process using a Drone-based Tracking PID Controller for Warehouse in Industry 4.0." Al-Khwarizmi Engineering Journal 21, no. 2 (2025): 72–92. https://doi.org/10.22153/kej.2025.11.002.

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Drones play a vital role in the fundamental aspects of Industry 4.0 by converting conventional warehouses into intelligent ones, particularly in the realm of barcode scanning. Various potential issues frequently arise during barcode scanning by drones, specifically when the drone camera has difficulty obtaining distinct images due to certain factors, such as distance, capturing the image whilst flying, noise in the environment and different barcode dimensions. In addressing these challenges, this study proposes an approach that combines a proportional–integral–derivative (PID) controller with

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Sharif khan, Umair, Maaz ahmed khan, Sulaik Nazir Patel, and Raheen mam. "AI Documentation: Using Collage Schedule." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42486.

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Gesture-controlled drones represent a significant advancement in human-computer interaction, allowing users to operate drones using simple hand movements without the need for traditional controllers. This technology utilizes computer vision, machine learning, and sensor-based systems to interpret gestures and translate them into drone commands such as takeoff, landing, movement, and hovering. A typical gesture-controlled drone employs a combination of cameras, accelerometers, gyroscopes, and deep learning models to recognize predefined gestures in real-time. Image processing techniques,

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Okasha, Mohamed, Jordan Kralev, and Maidul Islam. "Design and Experimental Comparison of PID, LQR and MPC Stabilizing Controllers for Parrot Mambo Mini-Drone." Aerospace 9, no. 6 (2022): 298. http://dx.doi.org/10.3390/aerospace9060298.

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Parrot Mambo mini-drone is a readily available commercial quadrotor platform to understand and analyze the behavior of a quadrotor both in indoor and outdoor applications. This study evaluates the performance of three alternative controllers on a Parrot Mambo mini-drone in an interior environment, including Proportional–Integral–Derivative (PID), Linear Quadratic Regulator (LQR), and Model Predictive Control (MPC). To investigate the controllers’ performance, initially, the MATLAB®/Simulink™ environment was considered as the simulation platform. The successful simulation results finally led to

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Goje, Shubhankar. "Cascaded PID Control System for UAV with Gain Factor Prediction Using ML." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 665–74. http://dx.doi.org/10.22214/ijraset.2021.38831.

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Abstract: Drones are not inherently stable, necessitating the use of a flight controller. If the UAV is properly tuned, the drone will fly steadily; otherwise, it won’t. Hence, we have used a PID (proportional, integral, differential) controller for a stable flight. A well-functioning PID controller should enable amazing climbs and long-range flights. But, when used singly, PID controllers can provide poor performance, resulting in a long settling time, overshoot, and oscillation. Here, we propose a new approach to maneuver UAVs using a PID control system and overcome the shortcomings of using

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Hyun Kim, Bong. "Implementation of the centralized control system for drone training." International Journal of Engineering & Technology 7, no. 3.3 (2018): 379. http://dx.doi.org/10.14419/ijet.v7i2.33.14190.

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Background/Objectives: The drones became a representative item in the IoT era. However, there is no drone pilot test system that can safely train this in the education field. Drones have very dangerous structural problems, so it is very necessary to practice them easily. Therefore, it is necessary to develop a system that can control the drones safely and easily while controlling them.Methods/Statistical analysis: In this paper, we will develop software for controlling a dedicated board platform that can securely perform ground testing by mounting four drones of motor and drive on a board (PCB

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15

Arfa, Wassim, Chiraz Ben Jabeur, Mourad Fathallah, and Hassene Seddik. "Nonlinear Kalman filter for gyroscopic and accelerometer noise rejection of an unmanned aerial vehicle control strategy." IAES International Journal of Robotics and Automation (IJRA) 13, no. 2 (2024): 194. http://dx.doi.org/10.11591/ijra.v13i2.pp194-204.

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This study addresses timing issues inherent in traditional proportional-integral-derivative (PID) controllers for drone angle control and introduces an innovative solution, the adaptive PID flight controller, aimed at optimizing PID gains for improved performance in terms of speed, accuracy, and stability. To enhance the controller's robustness against noise and accurately estimate the system's state, a Kalman filter is incorporated. This filtering mechanism is designed to reject noise and provide precise state estimation, thereby contributing to the overall effectiveness of the adaptive PID f

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Arfa, Wassim, Jabeur Chiraz Ben, Mourad Fathallah, and Hassene Seddik. "Nonlinear Kalman filter for gyroscopic and accelerometer noise rejection of an unmanned aerial vehicle control strategy." IAES International Journal of Robotics and Automation 13, no. 2 (2024): 194–204. https://doi.org/10.11591/ijra.v13i2.pp194-204.

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This study addresses timing issues inherent in traditional proportional-integral-derivative (PID) controllers for drone angle control and introduces an innovative solution, the adaptive PID flight controller, aimed at optimizing PID gains for improved performance in terms of speed, accuracy, and stability. To enhance the controller's robustness against noise and accurately estimate the system's state, a Kalman filter is incorporated. This filtering mechanism is designed to reject noise and provide precise state estimation, thereby contributing to the overall effectiveness of the adaptive PID f

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17

J, Balakannan. "IOT Based Drone Flight Controllers." International Journal on Aerospace and Defence Research 1, no. 1 (2024): 8–13. http://dx.doi.org/10.69759/ijadr1102.

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Technological developments have been the driving force behind the progress of Unmanned Aerial Vehicles (UAVs), with the junction of Internet of Things (IoT) technologies at the cutting-edge of this transition. Drone flight controllers' skills and functionalities have undergone an evolutionary change because of the rising integration of these two areas in recent years. Unlocking new potential requires an understanding of the symbiotic connection that exists between IoT and drone flight controllers, as drone deployment spreads across numerous industries. This thorough study paper aims to thoroug

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Prof. Dr. Kaushika Patel and Yash Sojitra. "Autonomous Surveillance Drone." International Journal of Scientific Research in Science, Engineering and Technology 12, no. 2 (2025): 750–54. https://doi.org/10.32628/ijsrset25122202.

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This paper presents the design, development, and testing of a fully autonomous surveillance drone built using a quadcopter frame, Brushless DC (BLDC) motors, Electronic Speed Controllers (ESCs), Raspberry Pi 4, GPS, and a Pixhawk flight controller. The drone achieves autonomous navigation using telemetry communication and DroneKit-MAVProxy, a Python-based software framework, in conjunction with ground control tools like QGroundControl and Mission Planner. The goal is to create a low-cost, user-friendly UAV (Unmanned Aerial Vehicle) capable of performing tasks like area monitoring, GPS-based na

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Rosmadi, Nurfarah Hanim Binti, Kishore Bingi, P. Arun Mozhi Devan, et al. "Fractional-Order Control Algorithm for Tello EDU Quadrotor Drone Safe Landing during Disturbance on Propeller." Drones 8, no. 10 (2024): 566. http://dx.doi.org/10.3390/drones8100566.

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Quadcopter drones have become increasingly popular because of their versatility and usefulness in various applications, such as surveillance, delivery, and search and rescue operations. Weather conditions and obstacles can undoubtedly pose challenges for drone flights, sometimes causing the loss of one or two propellers. This is a significant challenge as the loss of one or more propellers leads to a sudden loss of control, potentially resulting in a crash, which must be addressed through advanced control strategies. Therefore, this article develops and implements a fractional-order control al

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Kalash, Akshay, Lakshmish T.G, Koritala Gopi Chowdary, Kavya N Pujari, and Sumaiya M N. "A Study on Hybrid-GWO Algorithm-based PID Controller for Quadcopters." Journal of Soft Computing and Computational Intelligence 1, no. 1 (2024): 1–6. http://dx.doi.org/10.46610/joscci.2024.v01i01.001.

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As Unmanned Aerial Vehicles (UAVs), or drones, continue to evolve in importance across diverse applications, optimizing their control systems stands out as a crucial point for achieving superior performance. This research paper delves into the integration of a Hybrid Grey Wolf Optimizer (GWO) algorithm with Proportional-Integral-Derivative (PID) controllers, addressing the important task of tuning PID parameters for drone control. The study is in its early stages and has an initial focus on preliminary simulations. The literature review consists of existing research on PID controllers, as well

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Beliaev, Vladimir, Nadezhda Kunicina, Anastasija Ziravecka, Martins Bisenieks, Roberts Grants, and Antons Patlins. "Development of Adaptive Control System for Aerial Vehicles." Applied Sciences 13, no. 23 (2023): 12940. http://dx.doi.org/10.3390/app132312940.

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This article represents and compares two control systems for a vertical takeoff and landing (VTOL) unmanned aerial vehicle (UAV): a sliding proportional–integral–derivative (PID) controller and an adaptive L1 controller. The goal is to design a high-performing and stable control system for a specific VTOL drone. The mathematical model of the unique VTOL drone is presented as a control object. The sliding PID and adaptive L1 controllers are then developed and simulated, and their performance is compared. Simulation results demonstrate that both control systems achieve stable and accurate flight

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Christos, Kyrkou, Timotheou Stelios, Kolios Panayiotis, Theocharides Theocharis, and G. Panayiotou Christos. "Drones: Augmenting Our Quality of Life." https://www.ieee.org/publications_standards/publications/rights/rights_policies.html 38, no. 1 (2019): 30–36. https://doi.org/10.1109/MPOT.2018.2850386.

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Drone technology that has the potential to disrupt and augment our quality of life is swiftly evolving. Drones are rapidly growing in popularity and are used in various applications, such as agriculture, emergency response, border control, asset inspection, intelligent transportation, and many more areas. This is primarily due to the rapid advances in mobile embedded computing that allow for various sensors and controllers to be integrated into drone platforms, enabling them to sense and understand both their internal state and the external environment. In this article, we showcase relevant dr

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Посвістак, Валерій, та Дмитро Мірошниченко. "АРХІТЕКТУРА СИСТЕМИ АВТОНОМНОГО КЕРУВАННЯ ДЛЯ FPV-ДРОНІВ". Herald of Khmelnytskyi National University. Technical sciences 337, № 3(2) (2024): 223–30. http://dx.doi.org/10.31891/2307-5732-2024-337-3-33.

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Drone technologies and robotic systems, that can be used to optimize or replace human labor in different areas, are continuing to develop and expand their area of application. Computational hardware, that can be used as an extension to basic drone hardware, is becoming more powerful for a smaller price and size. Autonomous drone control provides a practical solution for issues that are present when a drone is controlled manually by an operator. There are limitations that exclude the possibility of operator control and some solutions are much less effective if there is no autonomous algorithm.

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Shahsavari, Sajad, Mohammed Rabah, Eero Immonen, Mohammad-Hashem Haghbayan, and Juha Plosila. "Remote Run-Time Failure Detection and Recovery Control For Quadcopters." Journal of Integrated Design and Process Science 25, no. 2 (2022): 120–40. http://dx.doi.org/10.3233/jid210017.

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We propose an adaptive run-time failure recovery control system for quadcopter drones, based on remote real-time processing of measurement data streams. Particularly, the measured RPM values of the quadcopter motors are transmitted to a remote machine which hosts failure detection algorithms and performs recovery procedure. The proposed control system consists of three distinct parts: (1) A set of computationally simple PID controllers locally onboard the drone, (2) a set of computationally more demanding remotely hosted algorithms for real-time drone state detection, and (3) a digital twin co

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Sahithya, Nallu, D. Srinivasulu Reddy, Vattivella Chandu, G. Sai Yashaswini, Akula Mounika Reddy, and G. Sukrutha. "Security Drone for Surveillance in Military." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (2024): 1269–75. http://dx.doi.org/10.22214/ijraset.2024.58557.

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Abstract: This paper presents the design and development of a sophisticated military security drone equipped with advanced components including Pixhawk flight controller, GPS module, camera, receiver, telemetry system, BLDC (Brushless Direct Current) motors, and electronic speed controller (ESC). The Pixhawk flight controller serves as the brain of the drone, managing flight dynamics, navigation, and mission planning with remarkable precision and reliability. Integrated with a highaccuracy GPS module, the drone achieves autonomous navigation capabilities, enabling it to execute pre-defined fli

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Kawaguchi, Natsuki, and Haruka Maruyama. "Design of an Optimal Allocator for Power Consumption Minimization in Hexarotor Drone Control Systems." Journal of Robotics and Mechatronics 36, no. 5 (2024): 1255–61. http://dx.doi.org/10.20965/jrm.2024.p1255.

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This paper presents an allocator design that considers the power consumption of rotors in the attitude and altitude control system of a hexarotor drone. Based on the power consumption model, the proposed method computes the thrust force that minimizes the total power consumption of the rotor while satisfying the control force constraints required by the controller. To obtain the rotor power consumption model, we conducted experiments on the rotor characteristics using the motors and electronic speed controllers used in the drones. Finally, numerical simulations were performed using the obtaine

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Rao, Gurrala Madhusudhana, B. Lakshm Prasanna, Katuri Rayudu, Vempalle Yeddula Kondaiah, Boyanasetti Venkata Sai Thrinath, and Talla Venu Gopal. "Performance evaluation of BLDC motor drive mounted in aerial vehicle (drone) using adaptive neuro-fuzzy." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 733–43. https://doi.org/10.11591/ijpeds.v15.i2.pp733-743.

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The development of autonomous drones equipped with cameras and various sensors has paved the way for their application in agriculture and perimeter security. These aerial drones require specific power, acceleration, high torque, and efficiency to meet the demands of agricultural tasks, utilizing built-in brushless DC (BLDC) motors. However, a common challenge drone’s face is maintaining the desired speed for extended periods. Enhancing the performance of BLDC motors through advanced controllers is crucial to address this issue. This research paper proposes optimizing the size and speed o

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Hu, Jiahao, Jingbo Wei, Kun Liu, Xiaobin Yu, Mingzhi Cao, and Zijie Qin. "Hybrid Mode: Routinization of the Transition Mode as the Third Common Mode for Compound VTOL Drones." Drones 8, no. 3 (2024): 93. http://dx.doi.org/10.3390/drones8030093.

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Fixed-wing Vertical Takeoff and Landing (VTOL) drones have been widely researched and applied because they combine the advantages of both rotorcraft and fixed-wing drones. However, the research on the transition mode of this type of drone has mainly focused on completing the process quickly and stably, and the application potential of this mode has not been given much attention. The objective of this paper is to routinize the transition mode of compound VTOL drones, i.e., this mode works continuously for a longer period of time as a third commonly used mode besides multi-rotor and fixed-wing m

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Harun, Mohamad Haniff, Shahrum Shah Abdullah, Mohd Shahrieel Mohd Aras, Mohd Bazli Bahar, and Fariz Ali@Ibrahim. "Recent Developments and Future Prospects in Collision Avoidance Control for Unmanned Aerial Vehicles (UAVS): A Review." International Journal of Robotics and Control Systems 4, no. 3 (2024): 1207–42. http://dx.doi.org/10.31763/ijrcs.v4i3.1482.

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The industry has been significantly enhanced by recent developments in UAV collision avoidance systems. They made collision avoidance controllers for self-driving drones both affordable and hazardous. These low-maintenance, portable devices provide continuous monitoring in near-real time. It is inaccurate due to the fact that collision avoidance controllers necessitate trade-offs regarding data reliability. Collision avoidance control research is expanding significantly and is disseminated through publications, initiatives, and grey literature. This paper provides a concise overview of the mos

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Taherinezhad, Maryam, Alejandro Ramirez-Serrano, and Arian Abedini. "Robust Trajectory-Tracking for a Bi-Copter Drone Using Indi: A Gain Tuning Multi-Objective Approach." Robotics 11, no. 5 (2022): 86. http://dx.doi.org/10.3390/robotics11050086.

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This paper presents an optimized robust trajectory control system for an autonomous tiltrotor bi-copter based on an incremental nonlinear dynamic inversion (INDI) strategy combined with a set of PID/PD controllers. The methodology includes a lower level, fast attitude control action using an incremental nonlinear dynamic inversion (INDI) strategy, which is driven by a higher level, slow trajectory control action that uses nonlinear dynamic inversion (NDI). The nonlinear dynamic model of the drone is derived, and the basis of the motion and the design of the attitude and position stabilizing co

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Saranovic, Daniel, Martin Pavlovski, William Power, Ivan Stojkovic, and Zoran Obradovic. "Interception of automated adversarial drone swarms in partially observed environments." Integrated Computer-Aided Engineering 28, no. 4 (2021): 335–48. http://dx.doi.org/10.3233/ica-210653.

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As the prevalence of drones increases, understanding and preparing for possible adversarial uses of drones and drone swarms is of paramount importance. Correspondingly, developing defensive mechanisms in which swarms can be used to protect against adversarial Unmanned Aerial Vehicles (UAVs) is a problem that requires further attention. Prior work on intercepting UAVs relies mostly on utilizing additional sensors or uses the Hamilton-Jacobi-Bellman equation, for which strong conditions need to be met to guarantee the existence of a saddle-point solution. To that end, this work proposes a novel

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Hyun, Daeil, Jaeyoung Han, and Seokmoo Hong. "Power Management Strategy of Hybrid Fuel Cell Drones for Flight Performance Improvement Based on Various Algorithms." Energies 16, no. 24 (2023): 8001. http://dx.doi.org/10.3390/en16248001.

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In recent years, there has been a growing demand for multipurpose drones that can handle surveillance, environmental monitoring, and urgent deliveries. This trend has spurred the need for increased power and longer flight times for drones. Hence, many researchers introduced various hybrid systems to enhance endurance. In particular, a hybrid system that integrates solar cells, fuel cells, and batteries can substantially enhance a drone’s endurance. However, linking multiple power sources necessitates a control strategy that prioritizes safety and durability. It is also essential to analyze the

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HALYTSKYI, Oleksandr, Dmytro DENYSIUK, Yaroslava KOZHEMIAKO, and Miroslav KVASSAY. "METHOD OF FPV DRONE STABILIZATION ON AN AUTOMATICALLY DETERMINED TARGET AND ITS FURTHER OBSERVATION." Computer systems and information technologies, no. 1 (March 27, 2025): 36–41. https://doi.org/10.31891/csit-2025-1-4.

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The paper considers the problem of the lack of stabilization in FPV drones, which significantly limits their functionality for applications that require precise tracking of a specific target. Such drones, although characterized by high maneuverability and affordable cost, are inferior to commercial quadcopters such as the DJI Mavic, which are equipped with effective stabilization systems, but are significantly more expensive due to the use of proprietary technologies. The paper proposes a new approach to stabilizing FPV drones, based on the use of computer vision algorithms for automatic targe

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Ryzty, Elshinta. "Pengembangan Mini Drone Berbasis ESP32 dengan Roll dan Pitch Control Menggunakan Algoritma PID." Electrician : Jurnal Rekayasa dan Teknologi Elektro 18, no. 2 (2024): 171–82. http://dx.doi.org/10.23960/elc.v18n2.2597.

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A drone, or UAV (Unmanned Aerial Vehicle), is an aircraft that can be operated from a distance. Controlled by a pilot through remote control or having autonomy capabilities. Drones operate on the principle of the lifting power generated by the rotation of the beam-beam controlled by a rotor or electric motor. When the drones are activated, the control system will stabilize the drone using the stabilize feature. Furthermore, when the user controls the drone through a remote control device, the change in the angle of the sensor will be detected. When the x-axis on the joystick is more positive,

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Bassolillo, Salvatore Rosario, Egidio D’Amato, Immacolata Notaro, Luca D’Agati, Giovanni Merlino, and Giuseppe Tricomi. "Bridging ACO-Based Drone Logistics and Computing Continuum for Enhanced Smart City Applications." Drones 9, no. 5 (2025): 368. https://doi.org/10.3390/drones9050368.

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In the context of evolving Smart Cities, the integration of drone technology and distributed computing paradigms presents significant potential for enhancing urban infrastructure and services. This paper proposes a comprehensive approach to optimizing urban delivery logistics through a cloud-based model that employs Ant Colony Optimization (ACO) for planning and Model Predictive Control (MPC) for trajectory tracking within a broader Computing Continuum framework. The proposed system addresses the Capacitated Vehicle Routing Problem (CVRP) by considering both drone capacity constraints and auto

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36

Patel, Hrishitva. "Design and Testing of a Pid Controller on a Parrot Minidrone." Eduvest - Journal of Universal Studies 2, no. 10 (2022): 1943–54. http://dx.doi.org/10.36418/eduvest.v2i10.606.

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This paper focuses on quadcopter control design and uses the Simulink Support Package for Parrot Minidrones to test various control approaches. This project's goal is to bridge the knowledge gap between control design and implementation, making it simpler to comprehend the fundamental ideas of control theory. Obtaining a dynamic model of the quadcopter, linearizing the system around an equilibrium point, designing PID controller on the linearized system, and then verifying the controllers on the non-linear model using simulations and test flights with the actual drone are the key components of

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Patel, Hrishitva. "Design and Testing of a Pid Controller on a Parrot Minidrone." Eduvest - Journal of Universal Studies 2, no. 10 (2022): 1943–54. http://dx.doi.org/10.59188/eduvest.v2i10.606.

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This paper focuses on quadcopter control design and uses the Simulink Support Package for Parrot Minidrones to test various control approaches. This project's goal is to bridge the knowledge gap between control design and implementation, making it simpler to comprehend the fundamental ideas of control theory. Obtaining a dynamic model of the quadcopter, linearizing the system around an equilibrium point, designing PID controller on the linearized system, and then verifying the controllers on the non-linear model using simulations and test flights with the actual drone are the key components of

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38

Rothe, Julian, Jasper Zevering, Michael Strohmeier, and Sergio Montenegro. "A Modified Model Reference Adaptive Controller (M-MRAC) Using an Updated MIT-Rule for the Altitude of a UAV." Electronics 9, no. 7 (2020): 1104. http://dx.doi.org/10.3390/electronics9071104.

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Unmanned Aerial Vehicles (UAVs) are playing an increasingly important role in a wide variety of areas and the range of applications increases daily, which can also be seen in the research of the topic. At the University of Wuerzburg drones are to be used in a project, where the aim is to catch possibly dangerous UAVs in mid air using a net, carried by two drones. This very special scenario poses new problems to the control of the drones, so that traditionally used Proportional-Integral-Differential (PID) controllers are no longer sufficient. Therefore a model-based adaption mechanism was chose

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Mas Intan, Haqqah Risath, Muhammad Luqman Bukhori, and Sabri Alimi. "RANCANG BANGUN ALAT UJI THRUST MOTOR BRUSHLESS DENGAN VARIASI PROPELLER." Teknika STTKD: Jurnal Teknik, Elektronik, Engine 9, no. 1 (2023): 65–75. http://dx.doi.org/10.56521/teknika.v9i1.836.

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In drone design, the selection of components such as batteries, Electronic Speed Controllers and propellers must be in accordance with the requirements, but not all components in the RC include measurement data to determine the specifications of the brushless motor. Therefore, a test tool is needed that can calculate the amount of thrust or use a tool trials. Brushless motors and propellers are important components that affect flying performance on drones. The greater the thrust generated by the brushless motor and propeller, the greater the load that can be lifted by the drone. The types of

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Velasco, Omar, João Valente, Pablo J. Alhama Blanco, and Mohammed Abderrahim. "An Open Simulation Strategy for Rapid Control Design in Aerial and Maritime Drone Teams: A Comprehensive Tutorial." Drones 4, no. 3 (2020): 37. http://dx.doi.org/10.3390/drones4030037.

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The deployment of robot controllers into the real robotic platform is cumbersome and time consuming, especially when testing scenarios involve several robots or are sites not easily accessible. Besides this, most of the time, testing on the real platforms or real conditions provides little value in the early stages of controller design and prototype, phases where debugging and suitability of the controller are the main objectives. This paper proposes a simulation strategy for developing and testing controllers for Unmanned Aerial and Surface Vehicle coordination and interaction with the enviro

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Patle, Bhumeshwar, Shyh-Leh Chen, Brijesh Patel, Sunil Kumar Kashyap, and Sudarshan Sanap. "Topological drone navigation in uncertain environment." Industrial Robot: the international journal of robotics research and application 48, no. 3 (2021): 423–41. http://dx.doi.org/10.1108/ir-10-2020-0218.

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Purpose With the increasing demand for surveillance and smart transportation, drone technology has become the center of attraction for robotics researchers. This study aims to introduce a new path planning approach to drone navigation based on topology in an uncertain environment. The main objective of this study is to use the Ricci flow evolution equation of metric and curvature tensor over angular Riemannian metric, and manifold for achieving navigational goals such as path length optimization at the minimum required time, collision-free obstacle avoidance in static and dynamic environments

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Daadi, Ayoub, Houssam Boulebtinai, Saddam Hocine Derrouaoui, and Fares Boudjema. "Sliding Mode Controller Based on the Sliding Mode Observer for a QBall 2+ Quadcopter with Experimental Validation." International Journal of Robotics and Control Systems 2, no. 2 (2022): 332–56. http://dx.doi.org/10.31763/ijrcs.v2i2.693.

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This paper studies a particular Unmanned Aerial Vehicle (UAV), called QBall 2+ quadcopter. This vehicle is a complex system, non-linear, strongly coupled, and under-actuated. First, a non-linear model was developed to represent the dynamics of the studied drone. Once the latter is established, the linear model was used to obtain the best gains of the Proportional Integral Derivative (PID) controller. This controller was applied after on the non-linear model of the UAV. Moreover, a Sliding Mode Controller (SMC) based on Sliding Mode Observer (SMO) was designed for retrieving the system unknown

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Zhao, Xun, Xinjian Huang, Jianheng Cheng, Zhendong Xia, and Zhiheng Tu. "A Vision-Based End-to-End Reinforcement Learning Framework for Drone Target Tracking." Drones 8, no. 11 (2024): 628. http://dx.doi.org/10.3390/drones8110628.

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Drone target tracking, which involves instructing drone movement to follow a moving target, encounters several challenges: (1) traditional methods need accurate state estimation of both the drone and target; (2) conventional Proportional–Derivative (PD) controllers require tedious parameter tuning and struggle with nonlinear properties; and (3) reinforcement learning methods, though promising, rely on the drone’s self-state estimation, adding complexity and computational load and reducing reliability. To address these challenges, this study proposes an innovative model-free end-to-end reinforc

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Wang, Yuhong, Yonghong Zeng, Sumei Sun, Peng Hui Tan, Yugang Ma, and Ernest Kurniawan. "Drone Controller Localization Based on RSSI Ratio." Sensors 23, no. 11 (2023): 5163. http://dx.doi.org/10.3390/s23115163.

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We proposed two methods for the localization of drone controllers based on received signal strength indicator (RSSI) ratios: the RSSI ratio fingerprint method and the model-based RSSI ratio algorithm. To evaluate the performance of our proposed algorithms, we conducted both simulations and field trials. The simulation results show that our two proposed RSSI-ratio-based localization methods outperformed the distance mapping algorithm proposed in literature when tested in a WLAN channel. Moreover, increasing the number of sensors improved the localization performance. Averaging a number of RSSI

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Konstantoudakis, Konstantinos, Kyriaki Christaki, Dimitrios Tsiakmakis, et al. "Drone Control in AR: An Intuitive System for Single-Handed Gesture Control, Drone Tracking, and Contextualized Camera Feed Visualization in Augmented Reality." Drones 6, no. 2 (2022): 43. http://dx.doi.org/10.3390/drones6020043.

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Traditional drone handheld remote controllers, although well-established and widely used, are not a particularly intuitive control method. At the same time, drone pilots normally watch the drone video feed on a smartphone or another small screen attached to the remote. This forces them to constantly shift their visual focus from the drone to the screen and vice-versa. This can be an eye-and-mind-tiring and stressful experience, as the eyes constantly change focus and the mind struggles to merge two different points of view. This paper presents a solution based on Microsoft’s HoloLens 2 headset

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Mahmudnia, Dena, Mehrdad Arashpour, Yu Bai, and Haibo Feng. "Drones and Blockchain Integration to Manage Forest Fires in Remote Regions." Drones 6, no. 11 (2022): 331. http://dx.doi.org/10.3390/drones6110331.

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Central management of fire stations and traditional optimization strategies are vulnerable to response time, a single point of failure, workload balancing, and cost problems. This is further intensified by the absence of modern communication systems and a comprehensive management framework for firefighting operations. These problems motivate the use of new technologies such as unmanned aerial vehicles (UAVs) with the capability to transport extinguishing materials and reach remote zones. Forest fire management in remote regions can also benefit from blockchain technology (BC) due to the facili

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Zhou, Kairan. "Design of Disaster Four-rotor Drone Control System Based on Fuzzy Self-turning PID Control." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 141–47. http://dx.doi.org/10.62051/34pvep07.

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Disasters often manifest as multifaceted crises that pose significant challenges for emergency responders, particularly when accessing hazardous environments such as fire scenes or chemically contaminated areas. The complexity of these situations necessitates the exploration of innovative solutions to augment the efficacy of rescue operations. In this context, the present study introduces a novel approach through the development of a disaster drone control system, predicated on the principles of fuzzy self-tuning control. This paper delineates the conceptual framework and architectural design

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Pappalardo, Carmine Maria, Marco Del Giudice, Emanuele Baldassarre Oliva, Littorino Stieven, and Alessandro Naddeo. "Computer-Aided Design, Multibody Dynamic Modeling, and Motion Control Analysis of a Quadcopter System for Delivery Applications." Machines 11, no. 4 (2023): 464. http://dx.doi.org/10.3390/machines11040464.

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This paper elaborates on the modeling and control of an Unmanned Aerial Vehicle (UAV) for delivery purposes, thereby integrating computer-aided design, multibody dynamic modeling, and motion control analysis in a unified framework. The UAV system designed in this study and utilized for item delivery has a quadcopter structure composed of four arms connected to a central trunk. In this investigation, the proposed design of the delivery drone is systematically modeled employing the multibody approach, while SIMSCAPE MULTIBODY is the software used for performing the dynamic analysis and for devis

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Bauer, Péter, and Mihály Nagy. "Flight-Data-Based High-Fidelity System Identification of DJI M600 Pro Hexacopter." Aerospace 11, no. 1 (2024): 79. http://dx.doi.org/10.3390/aerospace11010079.

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Research and industrial application can require custom high-level controllers for industrial drones. Thus, this paper presents the high-fidelity dynamic and control model identification of the DJI M600 Pro hexacopter. This is a widely used multicopter in the research and industrial community due to its high payload capability and reliability. To support these communities, the focus of control model identification was on the exploration and implementation of DJI Onboard Software Development Kit (OSDK) functionalities, also including some unconventional special modes. Thus, the resulting model c

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Lee, Dong-Kyeong, Filip Nedelkov, and Dennis M. Akos. "Assessment of Android Network Positioning as an Alternative Source of Navigation for Drone Operations." Drones 6, no. 2 (2022): 35. http://dx.doi.org/10.3390/drones6020035.

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Applications of drones have increased significantly in the past decade for both indoor and outdoor operations. In order to assist autonomous drone navigation, there are numerous sensors installed onboard the vehicles. These include Global Navigation Satellite Systems (GNSS) chipsets, inertial sensors, barometer, lidar, radar and vision sensors. The two sensors used most often by drone autopilot controllers for absolute positioning are the GNSS chipsets and barometer. Although, for most outdoor operations, these sensors provide accurate and reliable position information, their accuracy, availab

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