Relevant bibliographies by topics / Drone controllers

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Drone controllers'

Author: Grafiati
Published: 12 December 2022
Last updated: 19 July 2025

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Journal articles on the topic "Drone controllers"

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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, such as sensitivity to noise and measurement errors, which can lead to instability or oscillations in the system. On the other hand, PID controllers provide improved accuracy in drone system responses. When using PID controllers to achieve the best performance in a drone system, it is better to share the advantages of PID controllers with other intelligence controllers. One promising option is the fuzzy PID controller. The aim of this study was to control quadcopter states (rolling, altitude, and airspeed) by leveraging quadcopter technology and adding hybrid fuzzy PID controls into the system. The quadcopter system and its controllers were mathematically modeled using the Simulink/MATLAB platform, and the system was controlled by fuzzy PID controllers. For validation purposes, the fuzzy PID controller was compared with a classically tuned PID controller. For roll, height, and airspeed, the fuzzy PID controller provided an improvement of 41.5%, 11%, and 44%, respectively, over the classically tuned PID controller. Therefore, the fuzzy PID controller best suits the needs of farmers and is compatible with smart agriculture systems.
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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 to control the drone. Turns out, the FOPID controller is more accurate and does a better job of keeping the drone stable than the regular PID controller.
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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 were improving PID-based control algorithms, which is the dominant drone-control method. This type of low-level approach lacks situation awareness and the ability to handle unexpected situations. This study introduces an event-based control methodology that takes a high-level diagnosing approach that can implement situation awareness via a time-window. While low-level controllers are left to operate drones most of the time in normal situations, our controller operates at a higher level and detects unexpected behaviors and abnormal situations of the drone. We tested our method with real-time 3D computer simulation environments and in several cases, our method was able to detect emergencies that typical PID controllers were not able to handle. We were able to verify that our approach can provide enhanced double safety and better ensure safe drone operations. We hope our discovery can possibly contribute to the advance of real-world drone services in the near future.
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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. Informants’ reasoning about the acceptance of drone use was in part based on whether the drone is operating in a public or private space. However, our informants differed significantly in their definitions of public and private spaces. While our informants’ privacy concerns such as surveillance, data collection and sharing have been raised for other tracking technologies such as camera phones and closed-circuit television (CCTV), our interviews highlight two heightened issues of drones: (1) powerful yet inconspicuous data collection, (2) hidden and inaccessible drone controllers. These two aspects of drones render some of people’s existing privacy practices futile (e.g., notice recording and ask controllers to stop or delete the recording). Some informants demanded notifications of drones near them and expected drone controllers asking for their explicit permissions before recording. We discuss implications for future privacy-enhancing drone designs.
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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 performance of the attitude controllers are assessed: the modified MPC and the default Proportional-Integral-Derivative (PID). The tests were conducted in a custom-implemented Flight Mode in the ArduCopter software stack, securing the drone in a test harness, which guarantees the experiments are repetitive. The ultimate MPC greatly increases maneuverability of the drone and may inspire more research related to faster obstacle avoidance and new types of hybrid attitude controllers to balance the agility and the power consumption.
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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 adjust a Proportional-Integral-Derivative (PID) controller to compensate for the altitude and attitude controllers in a quadrotor drone with a slung load.
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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 drone. In our research, we have improved the height controller in the drone, thus improving the altitude controller by using (PD) and increasing the values of (Kp and Kd) in the altitude controller of the Parrot Mini Drone Mambo to make it more bearable to external influence and to maintain its altitude. We assumed that the aircraft was exposed to bad weather conditions, such as snowfall and dust, which led to an increase in the speed at which the drone fell. We also increased the free fall constant of the object in the simulation design of the drone from (-9.81 m/s2 to -12.81 m/s2) and used Matlab R2021a Simulink to undertake the tuning of the (Kp and Kd) values. This study yielded good results, as illustrated in the results section. Therefore, this research paper suggests adopting the PD controller in the altitude controller and the new values of Kp and Kd to make the drone more tolerant of weather conditions. We tested these results in practice and got good results.
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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 proposed the application of a Neural-Fuzzy controller for unmanned marine rescue aircraft presented in this paper introduces a controller that combines neural networks and fuzzy controllers that enhance the efficiency of the drone’s trajectory tracking. The paper presents the mathematics of a quadcopter described by the Newton-Euler equations. Presentation on stable flight control and trajectory control of marine rescue drones. In this paper, Matlab/Simulink is used to describe the operation of the Drone, and the characteristics obtained after using the simulation are used to compare, test, and analyze the system. The obtained results show that the Neural-Fuzzy controller is much more sensitive, more resistant to turbulence, and can be used on different sizes, weights, and configurations of drones without adjusting PID gain.
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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 as OpenCV and deep neural networks, enhance the accuracy of gesture recognition, ensuring seamless communication between the user and the drone. Keywords--- Gesture Recognition, Drone Control, Computer Vision.
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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 image processing techniques. The PID controller is responsible for continuously monitoring the camera’s input, detecting the difference between the planned and the real barcode image dimensions, and making immediate changes to the drone position to improve the process of detecting the potential barcode. The aforementioned procedure is implemented on the DJI Tello drone to verify the practical performance of the methodology introduced in this study. Results showed that drones can achieve remarkable barcode scanning performance by incorporating sophisticated computer vision technologies into PID controllers. PID computer vision algorithms are capable of analysing visual data acquired from the drone’s cameras and retrieving barcode information under a variety of situations, such as the size of the barcode, location of the barcode and noise of the warehouse environment.
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Dissertations / Theses on the topic "Drone controllers"

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Gu, Yu. "Design and flight testing actuator failure accommodation controllers on WVU YF-22 research UAVS." Morgantown, W. Va. : [West Virginia University Libraries], 2004. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=3702.

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Thesis (Ph. D.)--West Virginia University, 2004.<br>Title from document title page. Document formatted into pages; contains xiv, 145 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 138-145).
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Zocca, Filippo. "Progetto Airborne - Studio e progettazione del controller di volo e dell'interfaccia di monitoraggio durante il programma di ricerca e soccorso in valanga." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17804/.

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L’elaborato si pone l’obbiettivo di studiare e progettare un dispositivo di controllo e monitoraggio di un drone aereo in condizioni di alta montagna, utile al ritrovamento di corpi dispersi in aree colpite da valanga. Il contributo si inserisce all’interno di un progetto tutt’ora in corso e che, con il supporto di alcuni partner strategici, punta a effettuare una dimostrazione con un prototipo di sistema in ambiente operativo (TRL7) entro la fine dell’anno corrente. Il drone avrà la capacità di scannerizzare l’area in modo autonomo, previa impostazione delle coordinate: per questo è importante che il controller sia capace di performare nell’ambiente, essere intuitivo e permettere il monitoraggio attivo del programma autonomo di ricerca.
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AL-Emrani, Firas. "A Preliminary Controller Design for Drone Carried Directional Communication System." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804990/.

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In this thesis, we conduct a preliminary study on the controller design for directional antenna devices carried by drones. The goal of the control system is to ensure the best alignment between two directional antennas so as to enhance the performance of air-to-air communication between the drones. The control system at the current stage relies on the information received from GPS devices. The control system includes two loops: velocity loop and position loop to suppress wind disturbances and to assure the alignment of two directional antennae. The simulation and animation of directional antennae alignment control for two-randomly moving drones was developed using SIMULINK. To facilitate RSSI-based antenna alignment control to be conducted in the future work, a study on initial scanning techniques is also included at the end of this thesis.
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Katsev, Sergey. "Streamlining of the state-dependent Riccati equation controller algorithm for an embedded implementation /." Online version of thesis, 2006. http://hdl.handle.net/1850/4797.

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Spieß, Christian [Verfasser]. "A Flight Physics Model and Controller Architecture for a Synchropter Drone / Christian Spieß." München : Verlag Dr. Hut, 2020. http://d-nb.info/1222352249/34.

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Alvarez, Custodio Maria. "Autonomous Recharging System for Drones: Detection and Landing on the Charging Platform." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-245197.

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In the last years, the use of indoor drones has increased significantly in many different areas. However, one of the main limitations of the potential of these drones is the battery life. This is due to the fact that the battery size has to be limited since the drones have a maximum payload in order to be able to take-off and maintain the flight. Therefore, a recharging process need to be performed frequently, involving human intervention and thus limiting the drones applications. In order to solve this problem, this master thesis presents an autonomous recharging system for a nano drone, the Crazyflie 2.0 by Bitcraze AB. By automating the battery recharging process no human intervention will be needed, and thus overall mission time of the drone can be considerably increased, broadening the possible applications. The main goal of this thesis is the design and implementation of a control system for the indoor nano drone, in order to control it towards a landing platform and accurately land on it. The design and implementation of an actual recharging system is carried out too, so that in the end a complete full autonomous system exists. Before this controller and system are designed and presented, a research study is first carried out to obtain a background and analyze existing solutions for the autonomous landing problem. A camera is integrated together with the Crazyflie 2.0 to detect the landing station and control the drone with respect to this station position. A visual system is designed and implemented for detecting the landing station. For this purpose, a marker from the ArUco library is used to identify the station and estimate the distance to the marker and the camera orientation with respect to it. Finally, some tests are carried out to evaluate the system. The flight time obtained is 4.6 minutes and the landing performance (the rate of correct landings) is 80%.<br>Under de senaste åren har användningen av inomhusdrönare ökat betydligt på många olika områden. En av de största begränsningarna för dessa drönare är batteritiden. Detta beror på att batteristorleken måste begränsas eftersom drönarna har en väldigt begränsad maximal nyttolast för att kunna flyga. Därför måste de laddas ofta, vilket involverar mänskligt ingripande och därmed begränsar drönartillämpningarna. För att lösa detta problem presenterar detta examensarbete ett autonomt laddningssystem för en nanodrönare, Crazyflie 2.0. Genom att automatisera batteriladdningsprocessen behövs inget mänskligt ingrepp, och därigenom kan uppdragstiden för drönaren ökas avsevärt och bredda de möjliga tillämpningarna. Huvudmålet med denna avhandling är designen och implementationen av ett styrsystem för en inomhusdrönare, för att styra den mot en landningsplattform och landa korrekt på den. Arbetet inkluderar det faktiska laddningssystemet också, så att slutresultatet är ett fullständigt autonomt system. Innan regulatorn och systemet utformas och presenteras presenteras en genomgång av bakgrundsmaterial och analys av befintliga lösningar för problemet med autonom landning. En kamera monteras på Crazyflie 2.0 för att kunna detektera och positionera landningsstationen och styra drönaren med avseende på detta. För detektion används ArUcobibliotekets markörer vilka också gör det möjligt att räkna ut kamerans position och orientering med avseende på markören och därmed laddstationen. Slutligen utförs tester för att utvärdera systemet. Den erhållna flygtiden är 4,6 minuter och landningsprestandan (andel korrekta landningar på första försöket) är 80%.
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Schutz, Maxime. "Développement d’une architecture de RADAR à pénétration de sol dédié à une intégration sur drone." Thesis, Limoges, 2020. http://aurore.unilim.fr/theses/nxfile/default/3515bb91-73ce-4b5c-b1e5-206debe347e8/blobholder:0/2020LIMO0071.pdf.

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Le GPR (Ground Penetrating Radar) ou géoradar est utilisé pour la prospection des sous-sols. Par ailleurs, le marché des drones a rapidement évolué ces dernières années et la performance des solutions volantes actuelles vient offrir de nouvelles perspectives quant à leur utilisation. L’association des technologies du drone et du géoradar est alors une idée très attractive. De nombreux défis et incertitudes sont liés au rayonnement des basses fréquences, utiles pour une meilleure pénétration, et qui impliquent une taille conséquente du système antennaire. De plus, une maîtrise du coût et de la consommation du système est requise. Pour répondre aux contraintes d’encombrement et de poids, des solutions d’aiguillage des signaux pour n’utiliser qu’une seule antenne ont été développées. Dans le but de permettre la génération reconfigurable et bas coût des fréquences du radar, l’utilisation de VCO (Voltage-Controlled Oscillator) couplé à une méthode de correction analogique de la non-linéarité de fréquence a été mise en place. Un démonstrateur radar a été mis en œuvre et des expérimentations sur site ont été réalisées. Enfin, l’exploration de solutions pour l’augmentation de la résolution en distance du radar est présentée et une méthode alternative basée sur les réseaux de neurones a été développée<br>The GPR (Ground Penetrating Radar) is designed for underground imaging. In addition, the UAV market has evolved rapidly in recent years, and the performance of today's flying solutions offers new concepts for their use. The pairing of UAV and ground-penetrating radar technologies is a very attractive idea. Many challenges and uncertainties are related to low-frequency radiation, which is useful for better penetration, and which imply a consequent size of the antenna system. In addition, a reduction in the cost and consumption of the system is required. To meet compactness and weight constraints, switching solutions for using only one antenna have been developed. Toallow the reconfigurable and low-cost generation of waveform from a VCO (Voltage-Controlled Oscillator), an analog frequency non-linearity correction method has been implemented. A radar demonstrator has been developed and on-site experiments have been carried out. Finally, the exploration of solutions for increasing the range resolution of the radar is presented and a method based on neural networks has been developed
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Hou, Zhicheng. "Modeling and formation controller design for multi-quadrotor systems with leader-follower configuration." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2259/document.

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Cette thèse propose des solutions aux problématiques inhérentes au contrôle de formations aériennes de type leader­-suiveur pour des flottes de quadrirotors. Au regard des travaux existants, les stratégies qui sont proposés dans notre travail, considère que le(s) leader{s) a une interaction avec les suiveurs. En outre, les rôles de leader et de suiveur sont interchangeables lors de la formation. Dans un premier temps, la modélisation mathématique d'un seul quadrirotor et celle de la formation de quadrirotors est développée. Ensuite, le problème de suivi de trajectoire pour un seul quadrirotor est étudié. Au travers de l'analyse de 1, dynamique du système pour la conception d'une commande par platitude, il apparait que le suivi de trajectoire pour chaque quadrirotor équivaut à déterminer les sorties plates désirées. Un contrôleur pour système plats permettant l'asservissement des drones pour le suivi de trajectoire est donc proposé. Étant donné la propriété de double-boucle de la dynamique du quadrirotor en boucle fermée, un contrôleur d'attitude avec des grands gains est conçu, selon la théorie « singular perturbation system ». Puisque la dynamique du quadrirotor en boucle fermée fonctionne sur deux échelles de temps, la dynamique de rotation (boundary-layer mode) est contrôlée sur l'échelle de temps la plus rapide. La conception du contrôleur de formation dépend seulement de la dynamique de translation (modèle réduit dans une échelle de temps lente). Ce résultat a simplifié la conception du contrôleur de formation, de telle sorte que le modèle réduit du quadrirotor est utilisé au lieu du modèle complet. Étant donné que le modèle réduit du quadrirotor a une caractéristique de double-intégrateur, un algorithme de consensus pour des systèmes caractérisés par de multiple double-intégrateurs est proposé. Pour traiter le problème de la formation leader-suiveur, une matrice d'interaction est initialement proposée basée sur la matrice de Laplacienne. Nous montrons que la condition de convergence et la vitesse de convergence de l'erreur de formation dépendent de la plus petite valeur propre de la matrice d'interaction. Trois stratégies de contrôle de la formation avec une topologie fixe sont ensuite proposées. Le contrôle de formation par platitude est proposé pour obtenir une formation agressive, tandis que les dérivées de grands ordres de la trajectoire désirée pour chaque UAV sont estimées en utilisant un observateur; la méthode Lyapunov redesign est implémentée pour traiter les non-linéarités de la dynamique de la translation des quadrotors; une loi de commande bornée par l'utilisation, entre autre, de la fonction tangente hyperbolique est développée avec un feedback composite non linéaire, afin d'améliorer les performances de la formation. De plus, une commande de commutation saturée de la formation est étudiée, car la topologie de la formation est variable. La stabilité du système est obtenue grâce aux théories “convex hull » et « common Lyapunov function ». Cette stratégie de commande de commutation permet le changement des leaders dans la formation. Inspirée par certains travaux existants, tels que le contrôle de la formation avec des voisins anonymes, nous proposons, finalement, une loi de commande avec des voisins pondérés, qui montre une meilleure robustesse que le contrôle avec des voisins anonymes. Les résultats de simulation obtenus avec Matlab illustrent premièrement nos stratégies de contrôle que nous proposons De plus, en utilisant le langage de programmation C ++, nos stratégies sont mises en œuvre dans un framework de simulation et d'expérimentation développé au laboratoire Heudiasyc. Grâce aux nombreux tests variés que nous avons réalisés en simulation et en temps-réel, l'efficacité et les avantages de nos stratégies de contrôle de la formation proposées sont présentés<br>In this thesis, we address a leader-follower (L-F) formation control problem for multiple UAVs, especially quadrotors. Different from existing works, the strategies, which are proposed in our work, consider that the leader(s) have interaction with the followers. Additionally, the leader(s) are changeable during the formation. First, the mathematical modeling of a single quadrotor and of the formation of quadrotors is developed. The trajectory tracking problem for a single quadrotor is investigated. Through the analysis of the flatness of the quadrotor dynamical model, the desired trajectory for each quadrotor is transferred to the design of the desired at outputs. A flatness-based trajectory tracking controller is, then, proposed. Considering the double-loop property of the closed-loop quadrotor dynamics, a high-gain attitude controller is designed, according to the singular perturbation system theory. Since the closed-loop quadrotor dynamics performs in two time scales, the rotational dynamics (boundary-layer model) is controlled in a fast time scale. The formation controller design is then only considered for the translational dynamics: reduced model in a slow time scale. This result has simplified the formation controller design such that the reduced model of the quadrotor is considered instead of the complete model. Since the reduced model of the quadrotor has a double-integrator characteristic, consensus algorithm for multiple double-integrator systems is proposed. Dealing with the leader-follower formation problem, an interaction matrix is originally proposed based on the Laplacian matrix. We prove that the convergence condition and convergence speed of the formation error are in terms of the smallest eigenvalue of the interaction matrix. Three formation control strategies with fixed formation topology are then proposed. The flatness-based formation control is proposed to deal with the aggressive formation problem, while the high-order derivatives of the desired trajectory for each UAV are estimated by using an observer; the Lyapunov redesign is developed to deal with the nonlinearities of the translational dynamics of the quadrotors; the hyperbolic tangent-based bounded control with composite nonlinear feedback is developed in order to improve the performance of the formation. In an additional way, a saturated switching control of the formation is investigated, where the formation topology is switching. The stability of the system is obtained by introducing the convex hull theory and the common Lyapunov function. This switching control strategy permits the change of the leaders in the formation. Inspired by some existing works, such as the anonymous neighbor-based formation control, we finally propose a weighted neighbor-based control, which shows better robustness than the anonymous neighbor-based control. Simulation results using Matlab primarily illustrate our proposed formation control strategies. Furthermore, using C++ programming, our strategies are implemented on the simulator-experiment framework, developed at Heudiasyc laboratory. Through a variety of tests on the simulator and real-time experiments, the efficiency and the advantages of our proposed formation control strategies are shown. Finally, a vision-based inter-distance detection system is developed. This system is composed by an on-board camera, infrared LEDs and an infrared filter. The idea is to detect the UAVs and calculate the inter-distance by calculating the area of the special LEDs patterns. This algorithm is validated on a PC, with a webcam and primarily implemented on a real quadrotor
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Shrit, Omar. "Automatic coordination of a quadcopters fleet using ad hoc communications." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG108.

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Dans cette thèse, nous étudions la conception d’un contrôleur décentralisé pour un ensemble de quadrotors. Les quadrotors sont organisés en leader et suiveurs. Le leader est piloté par l’homme, tandis que les suiveurs utilisent le contrôleur décentralisé pour suivre le leader. Les suiveurs sont autonomes et n’ont pas conscience du comportement du leader. La nouveauté de cette thèse est de s’appuyer sur des capteurs peu coûteux tels que des modules WiFi pour estimer les distances vers les quadrotors voisins. Afin de concevoir le contrôleur décentralisé, l’apprentissage itératif est utilisé et combiné à un apprentissage supervisé et par imitation, à travers plusieurs phases, notamment la collecte de journaux, la formation de modèles avancés et la conception d’un contrôleur sur celui-ci. Ensuite, le contrôleur est intégré dans les suiveurs, les rendant autonomes. Le principal avantage des méthodes d’apprentissage est de déplacer le fardeau de l’optimisation de l’étape des tests en ligne à l’étape de la collecte des données. Par conséquent, cette approche convient aux robots Commerical Of The Shelf (COTS) tels que les micro et nano quadrotors qui ne disposent pas de ressources de calcul considérables à bord. Nos méthodes ont été validées à l’aide de MagicFlock, un framework de construction maison pour essaim de quadrotors qui étend RotorS, un framework de simulation Software In The Loop (SITL) construit sur le simulateur basé sur la physique Gazebo. Nos résultats ont démontré que le comportement de l’essaim est obtenu lorsqu’il est intégré à un ensemble de quadrotors à l’intérieur de Gazebo en utilisant les méthodes d’apprentissage itératif proposées avec une performance similaire à un modèle d’essaim qui utilise les positions absolues des robots<br>In this thesis, we study designing a decentralized controller for a set of quadrotors. The quadrotors are organized as a leader and followers. The leader is human-piloted, while the followers use the decentralized controller to follow the leader. The followers are autonomous and not aware of the leader’s behavior. The novelty of this thesis is to rely on inexpensive sensors such as WiFi modules to estimate the distances toward neighbors’ quadrotors. In order to design the decentralized controller, iterative learning is used and combined with supervised and imitation learning, through several phases, including logs gathering, training forward models, and designing a controller upon it. Then the controller is embedded in the followers, rendering them autonomous. The main advantage of learning methods is to shift the burden of optimization from the online tests step to the data gathering step. Therefore, making this approach is suitable for Commerical Of The Shelf (COTS) robots such as micro and nano quadrotors that do not have considerable computational resources on board. Our methods have been validated using MagicFlock, a home build framework for quadrotors swarm that extends RotorS, a Software In The Loop (SITL) simulation framework built on the top of the physics-based simulator Gazebo. Our results demonstrated that the swarm behavior is achieved when embedded on a set of quadrotors inside Gazebo using the proposed iterative learning methods with a performance similar to a flocking model that uses the absolute positions of the robots
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Alves, Rubens Antônio. "Projeto e implementação de um piloto automático aplicado a aeromodelos de asa fixa e asa móvel." Universidade Federal de Goiás, 2015. http://repositorio.bc.ufg.br/tede/handle/tede/6990.

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Submitted by JÚLIO HEBER SILVA (julioheber@yahoo.com.br) on 2017-03-21T18:01:54Z No. of bitstreams: 2 Dissertação - Rubens Antônio Alves - 2015.pdf: 7966348 bytes, checksum: 5a95a9ee436c444d586451331b40e5a0 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-03-22T12:33:33Z (GMT) No. of bitstreams: 2 Dissertação - Rubens Antônio Alves - 2015.pdf: 7966348 bytes, checksum: 5a95a9ee436c444d586451331b40e5a0 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Made available in DSpace on 2017-03-22T12:33:33Z (GMT). No. of bitstreams: 2 Dissertação - Rubens Antônio Alves - 2015.pdf: 7966348 bytes, checksum: 5a95a9ee436c444d586451331b40e5a0 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2015-09-30<br>Outro<br>This Project, in the electrical engineering area, consists in the development of a complete control system, hardware and software, for controlling model airplanes of the fixedwing and rotary-wing types, aiming the implementation of an automatic control system compatible with the necessity of autonomous and aided flights, applied to critical systems monitoring.The final system consists of a controller, or automatic pilot, with specific hardware and software, capable of controlling a model airplane using GPS coordinates, in a way that allows the airplane to go through a planned route and go back to the starting point in an autonomous way. The controller should receive, in ground, the programmed route; the model should answer to the pilot commands, within a visual range when operating in the aided mode, and should go through the programmed route in the autonomous mode, after confirmation of the pilot. After reaching the end of the programmed route, the model airplane should return to the starting point, keeping the maximum flight level of the route as the reference height. The model airplane will carry in a communication system to allow the monitoring process from a ground station, able to keep updated the airworthy conditions, as well as the level of accuracy between the actual and the planned route. The communication may be carried out directly using a radio link, with the receiver allocated in a mobile ground station, monitored by a pilot, to make higher the security level. However, the model airplane may transfer the data through a GPRS link, connected to the web system, which transfers the data to the ground station. In this case, the ground station must be connected to the web.The route saved in the model control system is built based on online maps directly linked by the software for the mission programming and monitoring, which can carry out the treatment and storage of the model data and parameters. The programming of the stability control and route, with primary data of latitude, longitude and height allows the real time monitoring of the model, related to the planned route and throught images captured by embedded video cameras. All data are storage following a timeline process, such that they can be recovered for futher analysis.<br>Esta disertação da área de engenharia elétrica consiste na construção de um sistema de controle completo de hardware e software para controle de um aeromodelo de asa fixa e/ou asa móvel, de maneira a implementar um piloto automático compatível com as necessidades de voo autônomo ou assistido, sendo que tal sistema deverá ser compatível com a precisão de voo aplicada a monitoramento de sistemas críticos.O sistema é constituído por uma placa controladora composta por hardware e firmware específicos, capaz de controlar um modelo orientado por coordenadas GPS, para que o mesmo percorra uma rota predeterminada e retorne ao ponto de partida de forma autônoma. A placa recebe, ainda em solo, a programação da rota a ser percorrida; o aeromodelo deve responder normalmente aos comandos do controle remoto do piloto em solo, respeitando o raio de alcance visual do piloto no modo assistido e segue a rota programada no modo autônomo após confirmação de comando do piloto. No final do percurso o aermodelo volta em trajetória reta para o ponto de partida, respeitando a maior altura do trajeto. O aeromodelo deve ser munido de sistema de comunicação para o devido acompanhamento em solo das condições de aeronavegabilidade do aeromodelo em voo, bem como a verificação dos níveis de precisão em relação à rota programada. A comunicação pode ser feita diretamente por sistema de link de rádio, direcionada a um terminal móvel em solo, que é acompanhado pelo piloto, para aumentar o nível de segurança, mas o aeromodelo também pode comunicar por rede de celular GPRS, conectado à internet, que direciona os dados ao terminal em solo. Nesse caso, o terminal, também deverá estar conectado à internet. A rota programada no aeromodelo é construída com base em mapas online conectados diretamente ao software de programação e acompanhamento de missão, que faz o tratamento e armazenamento dos dados e parâmetros do aermodelo. Tanto a programação de controle de estabilidade, quanto de rota, com dados primários relativos a latitude, longitude e altura, permitem o acompanhamento em tempo real do aeromodelo junto à rota programada e também através da imagem da câmera de gravação embarcada no aeromodelo. Todos os dados são gravados com base em processo de linha do tempo, que podem ser recuperados em conjunto para análise posterior.
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Books on the topic "Drone controllers"

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Kempel, Robert W. Flight test experience and controlled impact of a large, four-engine, remotely piloted airplane. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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W, Kempel Robert, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Flight test experience and controlled impact of a remotely piloted jet transport aircraft Timothy W. Horton and Robert W. Kempel. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.

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P, Yip Long, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Static wind-tunnel and radio-controlled flight test investigation of a remotely piloted vehicle having a delta wing planform. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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Neary, Ian. Soeda and the Making of Modern Japan. Amsterdam University Press, 2025. https://doi.org/10.5117/9789048563678.

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Soeda’s story provides insights into the last thousand years of Japanese history. It was the location of a strategically important castle, Ganjakujo, from the twelfth century until its destruction by Toyotomi Hideyoshi in 1587. Ganjakujo controlled access to Mt Hiko which was the most important Shugend. monastic community in Kyushu until its dissolution in the 1870s. Coal mines in Soeda in the first half of the twentieth century owned by the Kurauchi family drove the modernization of the town and contributed to the industrialization of the country. During the Pacific war, these mines employed Korean labourers and Allied POWs. The town continued to contribute to national economic growth in the 1950s but, following the switch to oil as the main source of energy, its coal mines closed in the 1960s. For forty years between 1971–2010, Mayor Yamamoto Fumio sheltered the town from the worst impact of being ’left behind’, yet the town continues to seek a new identity in the twenty-first century.
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Schneider, Jacquelyn, and Julia Macdonald. The Hand Behind Unmanned. Oxford University Press, 2024. https://doi.org/10.1093/9780190064419.001.0001.

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Abstract What explains the current US arsenal of unmanned systems? Why, for example, is the contemporary arsenal dominated by aerial unmanned systems versus the munitions that dominated earlier developments? This book challenges traditional explanations for the proliferation of unmanned systems that focus on capacity or structure. Instead, this book argues that beliefs and identities shape the structures and capacities chosen when the United States invests in weapon systems. In particular, it traces beliefs about technological determinism and military revolutions, force protection and casualty aversion, and service identities to explain why the United States has invested so heavily in remote-controlled unmanned aerial platforms over the last three decades. In doing so, the book illustrates how ideas become influential to ultimately manifest in budget lines, detailing the policy entrepreneurs, critical junctures, and path dependencies that shape the lifecycle of beliefs about unmanned weapon systems. The book begins by providing a historical overview of US unmanned systems investments, taking an expansive view of unmanned technologies from land mines to missiles and drones from the Revolutionary War to contemporary investments. It then leans on theories of norms, ideas, and influence to detail the role of the Office of Net Assessment, Vietnam, 9/11, and armed service identity in building the United States’ current unmanned arsenal. Finally, it concludes with what this case of unmanned technologies reveals about US support to Ukraine as well as contemporary weapons debates about cyber, information technology, space, and hypersonic missiles.
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Towaha, Syed Omar Faruk. Building Smart Drones with ESP8266 and Arduino: Build Exciting Drones by Leveraging the Capabilities of Arduino and ESP8266. Packt Publishing, Limited, 2018.

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Twidwell, Celesta. Drone DIY Guidebook : How to Build and Design a Drone Step by Step: Flight Controllers and Sensors Guide. Independently Published, 2021.

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Lithvartz, Manuela. Drone Flight and Maintenance Log Book: 1000+ Flight Records. UAS, UAV, RPA Performance Tracker Notebook for Controllers, Operators, Field Operations and Testing Journal Gift for Engineers. Independently Published, 2021.

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Gray, Judy Silverstein, Jane Katirgis, and Taylor Baldwin Kiland. Drones: Remote-Controlled Warfare. Enslow Publishing, LLC, 2016.

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Gray, Judy Silverstein, and Taylor Baldwin Kiland. Drones: Remote-Controlled Warfare. Enslow Publishing, LLC, 2016.

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Book chapters on the topic "Drone controllers"

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Rojas-Perez, L. Oyuki, Alejandro Gutierrez-Giles, and Jose Martinez-Carranza. "Neural Drone Racer Mentored by Classical Controllers." In Advances in Computational Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47765-2_7.

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Veerappan, Chandra Sekar, Peter Kok Keong Loh, and Reny Joy Chennattu. "Smart Drone Controller Framework—Toward an Internet of Drones." In AI and IoT for Smart City Applications. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7498-3_1.

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Koch, Bernhard. "Moral Integrity and Remote-Controlled Killing." In Drones and Responsibility. Routledge, 2016. http://dx.doi.org/10.4324/9781315578187-5.

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Shin, Hocheol, Kibum Choi, Youngseok Park, Jaeyeong Choi, and Yongdae Kim. "Security Analysis of FHSS-type Drone Controller." In Information Security Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31875-2_20.

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Tezza, Dante, Derek Caprio, Sarah Garcia, Blanche Pinto, Denis Laesker, and Marvin Andujar. "Brain-Controlled Drone Racing Game: A Qualitative Analysis." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50164-8_25.

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Manalathody, Abhishek, Kishoor Santhana Krishnan, Jisnu Adindtra Subramanian, Sakthivel Thangavel, and Rajesh Senthil Kumar Thangeswaran. "Non-linear Controller for a Drone with Slung Load." In Recent Advances in Aerospace Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1306-6_18.

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Jong-Hwan, Beck, Pak Myeong-Suk, and Kim Sang-Hoon. "Design of Docking Drone System Using P-PID Flight Controller." In Advances in Computer Science and Ubiquitous Computing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3023-9_118.

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Senthilnathan, R., Niket Ahuja, G. Vyomkesh Bhargav, Devansh Ahuja, and Adish Bagi. "A Novel Flight Controller Interface for Vision-Guided Autonomous Drone." In Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00665-5_125.

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Shwaiki, Marwan A. "A City-Wide Planetarium." In Springer Proceedings in Physics. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3276-3_18.

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Abstract In this project, hundreds “could be thousands” of powerful drones to be used. The drones will fly high for about 0.25–1.0 km up and need to be stable for 30 min duration show called City Wide Planetarium Show. The drones will carry powerful LED light sources. LED light’s intensity, color and luminosity can be controlled. All the drones will work together as one single structure. Drones will resemble the stars of the sky, spread out in the positions of the natural stars as seen from the center of the city where the public stargazing party is taking place.
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Büttner, Sebastian, Rami Zaitoon, Mario Heinz, and Carsten Röcker. "One-Hand Controller for Human-Drone Interaction – a Human-Centered Prototype Development." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49062-1_36.

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Conference papers on the topic "Drone controllers"

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Da Fonseca, José Eduardo Das Neves, Lorenzo Conceição Lima Valente, and Paulo J. Dias de Oliveira Evald. "Optimizing PID Controllers of Drone-based Wind Turbine Inspection Systems using the African Vulture Algorithm." In 2024 16th Seminar on Power Electronics and Control (SEPOC). IEEE, 2024. http://dx.doi.org/10.1109/sepoc63090.2024.10747459.

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Gota, Dan Ioan, Marius Misaros, Daniela Florentina Niste, Adela Pop, Alexandra Fanca, and Liviu Miclea. "Drone Controlled by Hand Gestures." In 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 2024. https://doi.org/10.1109/iceccme62383.2024.10796890.

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Wang, Yuhong, Yonghong Zeng, Peng Hui Tan, Sumei Sun, and Yugang Ma. "Drone Controller Localization Based on TDoA." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978550.

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Hassanein, Amro. "Using Robotic Inspection for Flare System to Avoid Plant Shutdown." In MPWT 2019. NACE International, 2019. https://doi.org/10.5006/mpwt19-14300.

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Abstract From day to day, Robots advance from testing in labs to operating in the outside world. The industrial application of Robotic technologies continually increases, providing unique solutions for different challenges. Flare System is an important and critical equipment required for continuous safe operations for any petrochemical plant addressing proper burning of excess hydrocarbon gases, unusable gases which cannot be recovered or recycled, and gas flaring protects against the dangers of over-pressure. This paper discusses the different types of robotic inspection, advantages, and limitations based on actual site demonstrations. As an innovative case, here to introduce actual business case for close aerial inspection and surveying technique to avoid polyethylene plant shutdown and providing a reliable inspection technique for on-stream integrity evaluation for the flare tip. Drones, formally known as unmanned aerial vehicles (UAVs), are a flying robot that can be remotely controlled, and offer an innovative inspection method launched between 2006-2008 for Engineering professional aerial inspection and surveying using Remotely Operated Aerial Vehicles (ROAVs). The visual inspection detection accuracy of (ROAV) offer higher than the normal visual inspection and easily approach all the flare structure from four directions. Drone inspection cost is competitive considering the cost of maintenance to dismantle the flare tip. Drone inspection can be used to assess the elevated flare parts for any seriously damage in order to define a clear maintenance scope ahead of shutdown.
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Cui, Lin, Jianshan Zhou, Mingqian Wang, Zixuan Xu, Xuting Duan, and Chenghao Ren. "Neural Network Controller for Drones." In 2024 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2024. https://doi.org/10.1109/icus61736.2024.10839951.

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Trinitatova, Daria, Sofia Shevelo, and Dzmitry Tsetserukou. "Towards Intuitive Drone Operation Using a Handheld Motion Controller." In 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2025. https://doi.org/10.1109/hri61500.2025.10974242.

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Canto, Raynard Royd B., Bernard Luis U. Galdones, and Febus Reidj G. Cruz. "Solar-Rechargeable Remotely Controlled Boat Drone for River Bathymetry." In 2024 IEEE 3rd Industrial Electronics Society Annual On-Line Conference (ONCON). IEEE, 2024. https://doi.org/10.1109/oncon62778.2024.10931455.

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Nandi, Mayukh, Babita Panda, Chitralekha Jena, et al. "Design of a Solar-Powered Remote-Controlled Aquatic Cleaning Drone." In 2025 3rd IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA). IEEE, 2025. https://doi.org/10.1109/icidea64800.2025.10963220.

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Escobar, Jossué Cariño, Lina Le-Guellec, Edwin Van Ruymbeke, Nicolas Marchand, Thomas Engels, and Franck Ruffier. "Dynamical Model and Tracking Controller for a Novel Flapping Wing Drone Platform." In 2025 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2025. https://doi.org/10.1109/icuas65942.2025.11007922.

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S, Kamilath Rifka, G. Karthik, and S. Revathy. "Hand Gesture Controlled Drone with QR Code Authentication for Autonomous Charging." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10984672.

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Reports on the topic "Drone controllers"

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Tom, Joe, Marcelo Garcia, and Haode Wang. Review of Methodologies to Assess Bridge Safety During and After Floods. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-008.

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This report summarizes a review of technologies used to monitor bridge scour with an emphasis on techniques appropriate for testing during and immediately after design flood conditions. The goal of this study is to identify potential technologies and strategies for Illinois Department of Transportation that may be used to enhance the reliability of bridge safety monitoring during floods from local to state levels. The research team conducted a literature review of technologies that have been explored by state departments of transportation (DOTs) and national agencies as well as state-of-the-art technologies that have not been extensively employed by DOTs. This review included informational interviews with representatives from DOTs and relevant industry organizations. Recommendations include considering (1) acquisition of tethered kneeboard or surf ski-mounted single-beam sonars for rapid deployment by local agencies, (2) acquisition of remote-controlled vessels mounted with single-beam and side-scan sonars for statewide deployment, (3) development of large-scale particle image velocimetry systems using remote-controlled drones for stream velocity and direction measurement during floods, (4) physical modeling to develop Illinois-specific hydrodynamic loading coefficients for Illinois bridges during flood conditions, and (5) development of holistic risk-based bridge assessment tools that incorporate structural, geotechnical, hydraulic, and scour measurements to provide rapid feedback for bridge closure decisions.
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Hu, Xiaoqiang, Jieyi Bao, Yi Jiang, and Shuo Li. Highway Lighting Test Bed on INDOT Facility (Off-Roadway). Purdue University, 2022. http://dx.doi.org/10.5703/1288284317384.

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According to the National Highway Traffic Safety Administration (NHTSA), during 2016 there were 7,277,000 vehicle crashes nationally. Among them, approximately 70% happened during the daytime and around 30% of crashes occurred during the nighttime. There were 11,375 nighttime fatal crashes that account for about 48% of total fatal crashes (23,714). Given the fact that only 25%–33% of the vehicle miles traveled (VMT) occur at night, the above statistics indicate that the nighttime crash fatality rate is much higher and nighttime crashes are usually more severe compared to daytime crashes. Providing lighting on roadways is one of the proven safety countermeasures for preventing crashes and reducing fatalities. In particular, lighting at roadway intersections can reduce vehicle crashes by 10% to 26%. Currently, to conduct lighting field testing, INDOT is using several in-service highways, intersections, interchanges, and rest areas. These locations require traffic control and lane closures, which raises safety concerns and causing inconvenience to the public. In addition to the cost and safety concerns, during the evaluation period the new luminaires being tested actually functioned as lighting sources in place of the existing luminaires that were removed in order to install the new luminaires. This means that the new luminaries were used for roadway lighting at the test sites even before they were proven to meet the roadway lighting requirements. To eliminate traffic control and potential safety concerns, it was proposed to create test beds for field evaluating and to verify the performance of new lighting technologies and luminaires in a controlled, standard setting. Through this study, two lighting test bed facilities were designed and constructed. Illuminance values of installed luminaires were manually measured by a remotely controlled electric cart and drone. The measured illuminance values were analyzed and the analysis indicated that the efficiency of illuminance measurement can be significantly improved by automated methods. An illuminance data repository model was developed to be an effective tool that can greatly facilitate data input and storage process. The use of this model will further increase the productivity of illuminance measurement at the lighting test beds.
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Matthew, Gray. Data from "Winter is Coming – Temperature Affects Immune Defenses and Susceptibility to Batrachochytrium salamandrivorans". University of Tennessee, Knoxville Libraries, 2021. http://dx.doi.org/10.7290/t7sallfxxe.

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Environmental temperature is a key factor driving various biological processes, including immune defenses and host-pathogen interactions. Here, we evaluated the effects of environmental temperature on the pathogenicity of the emerging fungus, Batrachochytrium salamandrivorans (Bsal), using controlled laboratory experiments, and measured components of host immune defense to identify regulating mechanisms. We found that adult and juvenile Notophthalmus viridescens died faster due to Bsal chytridiomycosis at 14 ºC than at 6 and 22 ºC. Pathogen replication rates, total available proteins on the skin, and microbiome composition likely drove these relationships. Temperature-dependent skin microbiome composition in our laboratory experiments matched seasonal trends in wild N. viridescens, adding validity to these results. We also found that hydrophobic peptide production after two months post-exposure to Bsal was reduced in infected animals compared to controls, perhaps due to peptide release earlier in infection or impaired granular gland function in diseased animals. Using our temperature-dependent infection results, we performed a geographic analysis that suggested that N. viridescens populations in the northeastern United States and southeastern Canada are at greatest risk for Bsal invasion. Our results indicate that environmental temperature will play a key role in the epidemiology of Bsal and provide evidence that temperature manipulations may be a viable Bsal management strategy.
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