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Littérature scientifique sur le sujet « Quadcopter »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 25 janvier 2025

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Articles de revues sur le sujet "Quadcopter"

Nguyen, Minh Tam, My Ha Le, Anh Khoa Vo, Vi Do Tran, Van Phong Vu, Van Thuyen Ngo et Van Dong Hai Nguyen. « Stabilzation Position of Quadcopter Using Vision-Based Corner Detector from Top-Down Footage of Camera ». Journal of Technical Education Science, n^o 71A (30 août 2022) : 18–27. http://dx.doi.org/10.54644/jte.71a.2022.1132.

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Quadcopter is a kind of robot which is popularly used in both academic and industrial environment. In this paper, we present and implement a method to stabilize a quadcopter prototype’s position using feature extraction and tracking from camera footage. The quadcopter's position and linear velocity are determined from images which are captured by a downward-facing camera - Logitech C270. First, Shi-Tomasi technique is used to detect corners in the images and from this method, displacement of the quadcopter is yielded. Linear velocity is then calculated by using the quadcopter’s displacement. Once the linear velocity of the quadcopter has been estimated, the cascade PID controller is proposed to stabilize the hovering quadcopter’s position. Simulation results prove the ability of controlller on Matlab/Simulink. Then, a real quadcopter prototype is built to evaluate the proposed method and the experimental results recording in approximately 70 seconds show that the quadcopter remained its position with minimal error.

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Angraeni, Pipit, Muhammad Nursyam Rizal, Hilda Khoirunnisa et Theo Kristian. « Experimental of Quadcopter Trajectory Tracking Control Based ROS ». MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering 5, n^o 2 (7 avril 2023) : 295–302. http://dx.doi.org/10.46574/motivection.v5i2.232.

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Quadcopters have become popular in various fields, such as environmental surveying, mapping, monitoring, and rescue operations. However, controlling the trajectory of a quadcopter remains a major challenge. In this article, we propose an adaptive PID control approach based on ROS (Robot Operating System) to control the motion of a quadcopter. We tested the proposed control model on a simulation platform and on a physical quadcopter system. Simulation results demonstrate better control capabilities than conventional PID control approaches. Additionally, the proposed control system successfully controlled the quadcopter accurately on multiple different trajectories in the physical system. We demonstrate the effectiveness of the adaptive PID control approach in tracking the quadcopter's trajectory with greater accuracy. Experiment results show that the proposed control system is highly suitable for more advanced quadcopter applications and allows for more accurate navigation. Quadcopter telah menjadi populer dalam aplikasi berbagai bidang, seperti survei lingkungan, pemetaan, pemantauan dan penyelamatan. Namun, pengendalian trajektori quadcopter masih menjadi tantangan besar. Dalam artikel ini, kami mengusulkan pendekatan kontrol pid adaptif berbasis ROS (Robot Operating System) untuk mengendalikan gerakan quadcopter. Kami menguji model kontrol yang diusulkan pada platform simulasi dan pada sistem fisik quadcopter. Hasil simulasi menunjukkan kemampuan kontrol yang lebih baik dari pendekatan kontrol pid konvensional. Selain itu, sistem kontrol yang diusulkan berhasil mengendalikan quadcopter pada beberapa lintasan berbeda secara akurat pada sistem fisik. Kami menunjukkan efektivitas pendekatan kontrol pid adaptif dalam melacak lintasan quadcopter dengan akurasi yang lebih baik. Hasil eksperimen menunjukkan bahwa sistem kontrol yang diusulkan sangat mampu digunakan pada aplikasi quadcopter yang lebih canggih dan memungkinkan navigasi yang lebih akurat.

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Karahan, Mehmet. « Reinforcement Learning and PD Control Based Trajectory Tracking for a Quadcopter UAV ». Journal of Computer Science and Technology Studies 6, n^o 4 (16 octobre 2024) : 131–41. http://dx.doi.org/10.32996/jcsts.2024.6.4.15.

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Nowadays, quadcopter unmanned aerial vehicles (UAV) are used in a wide variety of areas, such as reconnaissance and surveillance, firefighting, search and rescue, agricultural spraying, cargo transportation, photography, and mapping. The use of quadcopters in a very wide area makes their trajectory tracking control important. In order for quadcopters to perform their duties successfully, they must be able to follow the given trajectory with the least error. In this study, the quadcopter’s trajectory tracking under random noise is provided by an algorithm based on reinforcement learning and a proportional derivative (PD) controller. Modeling, simulations, and reinforcement learning algorithms were carried out using the MATLAB program. Simulations were made under noise for the x, y, z trajectories and roll, pitch, and yaw angles of the quadcopter. A detailed time response analysis was performed by obtaining rise time, overshoot, and settling time data. It has been observed that the references given were successfully followed thanks to the algorithm based on reinforcement learning.

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Baharuddin, A'dilah, et Mohd Ariffanan Mohd Basri. « Trajectory Tracking of a Quadcopter UAV using PID Controller ». ELEKTRIKA- Journal of Electrical Engineering 22, n^o 2 (28 août 2023) : 14–21. http://dx.doi.org/10.11113/elektrika.v22n2.440.

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UAVs or Drones are aircraft with no onboard pilot to control the flight. They are introduced in a few categories such as single-rotor, multi-rotors, fixed-wing, and hybrid VTOL. As for multirotor drones, quadcopters are the most well-known either commercially or in the research field. Due to its advantages, a quadcopter has been chosen to perform various tasks across various fields such as entertainment, military, meteorological reconnaissance, civil and emergency responses. As the demand for quadcopters has diverged, the required features of quadcopters have also diverged. One of the current features required by quadcopters is the ability to track trajectories. However, due to its nature of non-linearity, under-actuated and unstable, controlling quadcopter for an accurate and stable performance is quite a challenge. Despite the various proposed methods throughout the past decades, PID controller is still used as either the main controller or the base controller in most cases of industrial control, including quadcopter, mainly due to its simplicity and robustness. However, to design a proper PID controller for quadcopter system is a challenge as it defies the control inputs of four with its six degree-of-freedom form, in which six inputs are required to be controlled to ensure a stable and accurate flight. This paper derived a mathematically model of a quadcopter with Newton-Euler’s equation. Some assumptions on the body and structure of the quadcopter are taken into account to make the modelling possible. Then, a manually tuned PID controller is designed to achieve the objective of controlling the operation and stability of the quadcopter during its flight. The designed controller is tested with five different trajectories which are circular, square, lemniscate, zigzag, and spiral. The results show the proposed controller successfully tracks the desired trajectories, which prove PID controller can be used to control a quadcopter.

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Tran, V. T., A. M. Korikov et D. K. Tran. « Synthesis of an algorithm for automatic control of the quadcopter position using the control force estimation method ». Journal of Physics : Conference Series 2291, n^o 1 (1 juillet 2022) : 012017. http://dx.doi.org/10.1088/1742-6596/2291/1/012017.

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Abstract A mathematical model of the quadcopter motion control system has been developed. A new algorithm for controlling the movement of the quadcopter is proposed, which, in combination with sliding modes for controlling the position and direction of movement, ensures stable movement of the quadcopter in space. The simulation of the quadcopter motion control system on the MATLAB SIMULINK software was performed. The proposed algorithm for controlling the movement of the quadcopter ensures its steady movement as a single quadcopter along a given flight path in space in the presence of interference, and the movement of a group of quadcopters

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Mariani, Manuel, et Simone Fiori. « Design and Simulation of a Neuroevolutionary Controller for a Quadcopter Drone ». Aerospace 10, n^o 5 (29 avril 2023) : 418. http://dx.doi.org/10.3390/aerospace10050418.

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The problem addressed in the present paper is the design of a controller based on an evolutionary neural network for autonomous flight in quadrotor systems. The controller’s objective is to govern the quadcopter in such a way that it reaches a specific position, bearing on attitude limitations during flight and upon reaching a target. Given the complex nature of quadcopters, an appropriate neural network architecture and a training algorithm were designed to guide a quadcopter toward a target. The designed controller was implemented as a single multi-layer perceptron. On the basis of the quadcopter’s current state, the developed neurocontroller produces the correct rotor speed values, optimized in terms of both attitude-limitation compliance and speed. The neural network training was completed using a custom evolutionary algorithm whose design put particular emphasis on the cost function’s definition. The developed neurocontroller was tested in simulation to drive a quadcopter to autonomously follow a complex path. The obtained simulated results show that the neurocontroller manages to effortlessly follow several types of paths with adequate precision while maintaining low travel times.

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Idris Seidu, Benjamin Olowu et Samuel Olowu. « Advancements in Quadcopter Development through Additive Manufacturing : A Comprehensive Review ». International Journal of Scientific Research in Science, Engineering and Technology 11, n^o 4 (22 juillet 2024) : 92–124. http://dx.doi.org/10.32628/ijsrset24114109.

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The paper provides a comprehensive review of the advancements in quadcopters development made possible through additive manufacturing (AM). The review begins with an introduction to quadcopter technology and the basics of AM, followed by an exploration of the various AM technologies and materials used for creating quadcopter components. It highlights the innovative designs and complex geometries enabled by AM, as well as the improvements in customization and integration of multiple functions into single components. Practical case studies demonstrate the application of AM in producing high-performance quadcopters for various sectors, including military, commercial, research, and recreational use. The paper also addresses the technical challenges, economic considerations, and regulatory issues associated with AM in quadcopter development. Finally, it discusses future trends and research directions, emphasizing the potential of emerging materials and technologies to further enhance quadcopter performance. This review underscores the significant impact of AM on the evolution of quadcopters and the importance of ongoing research in this field.

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Safarov, Tural. « Matlab sımulatıon of quadcopter dynamıcs and PID attıtude controller ». Technium : Romanian Journal of Applied Sciences and Technology 18 (8 décembre 2023) : 82–91. http://dx.doi.org/10.47577/technium.v18i.10308.

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Due to the ever-growing popularity of quadcopters, they are used in various fields such as surveillance, military, surveillance and courier services and are of great importance. Ideal handling of quadcopters is essential for safe maneuvering and high precision flight performance. This research provides simulation of quadcopter control in MATLAB software, development and review of various control principles. Dynamic development in unmanned aerial vehicles (UAVs) has led to the rapid spread of quadcopters in many fields, from airspace control to courier services. This research study investigates the Proportional-Integral-Derivative (PID) attitude controller by simulating the quadcopter dynamic object in MATLAB software. The heart of this research is to create and develop a PID attitude controller, which is a critical component for accurate control of quadcopter.

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Zhang, Xiaomin, Zhiyao Zhao, Zhaoyang Wang et Xiaoyi Wang. « Fault Detection and Identification Method for Quadcopter Based on Airframe Vibration Signals ». Sensors 21, n^o 2 (15 janvier 2021) : 581. http://dx.doi.org/10.3390/s21020581.

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Quadcopters are widely used in a variety of military and civilian mission scenarios. Real-time online detection of the abnormal state of the quadcopter is vital to the safety of aircraft. Existing data-driven fault detection methods generally usually require numerous sensors to collect data. However, quadcopter airframe space is limited. A large number of sensors cannot be loaded, meaning that it is difficult to use additional sensors to capture fault signals for quadcopters. In this paper, without additional sensors, a Fault Detection and Identification (FDI) method for quadcopter blades based on airframe vibration signals is proposed using the airborne acceleration sensor. This method integrates multi-axis data information and effectively detects and identifies quadcopter blade faults through Long and Short-Term Memory (LSTM) network models. Through flight experiments, the quadcopter triaxial accelerometer data are collected for airframe vibration signals at first. Then, the wavelet packet decomposition method is employed to extract data features, and the standard deviations of the wavelet packet coefficients are employed to form the feature vector. Finally, the LSTM-based FDI model is constructed for quadcopter blade FDI. The results show that the method can effectively detect and identify quadcopter blade faults with a better FDI performance and a higher model accuracy compared with the Back Propagation (BP) neural network-based FDI model.

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Mohsin, Ali, et Jaber Abdulhady. « Comparing dynamic model and flight control of plus and cross quadcopter configurations ». FME Transactions 50, n^o 4 (2022) : 683–92. http://dx.doi.org/10.5937/fme2204683m.

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This research investigates and demonstrates the fundamental differences in performance and operation of both the cross and quadcopter configurations. The system's nonlinear dynamic model was first derived and implemented in Simulink for each quadcopter. The identical initial control values were applied for both quadcopters. The plus-configuration creates a yaw moment when a pitch or roll control input is supplied using multi-rotor controls; however, the cross-configuration decouples pitch and roll control from yaw. However, the plus-quad showed considerable instability while rotating with a pitch and rolling due to the self-generated residual rotation of the four rotors, which is small in the cross quadcopter, making it more maneuverability stable. The obtained results showed that both quadcopters consume the same energy amount.

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Thèses sur le sujet "Quadcopter"

Persson, Mikael, et Tim Andersson. « Utveckling av en Quadcopter ». Thesis, KTH, Data- och elektroteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123710.

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Examensarbetets mål är att bygga en Quadcopter som kan flyga och styras via en radio-sändare i alla riktningar, stabilisera sig själv i luften, kunna landa autonomt och den skall även motverka krock i framåtgående riktning.För att uppnå grundmålet att kunna flyga så implementerades en PID-kontroller som används för att stabilisera Quadcoptern i luften genom att reglera motorer efter sensor-orientering. Denna sensororientering fås kombinera vinkeldata från en accelerometer och ett gyroskop.För att uppnå målet med autonom landning så användes en ultraljudssensor. En egen algoritm utvecklades för att läsa avstånd från marken. Avståndet från marken användes som grund för att skapa en egen algoritm för den autonoma landningen.Quadcoptern kan i slutprodukten stabilisera sig själv i luften, styras via radio och landa autonomt. Säkerhetsfunktioner som att aktivera autonom landning ifall Quadcoptern kommer utanför radions täckning är implementerade och även en brytare som stänger av motorerna. Det enda som inte implementerades var krocken i framåtgående riktning eftersom att en ultraljudssensor inte var lämpad för detta användningsområde.
The goal of the thesis is to build a quadcopter that can fly and be controlled via a radio transmitter in all directions, stabilizing itself in the air, to land autonomously and detect collisions in the forward direction.In order to achieve the basic goal of being able to fly, a PID controller was implemented which is used to stabilize the Quadcopter in the air by controlling the motors with help from sensor orientation. This sensor orientation is obtained from a complementary filter that merges angle data from an accelerometer and a gyroscope. Both an accelerometer and a gyroscope are required to automatically stabilize the Quadcopter in the air.To achieve the goal of autonomous landing an ultrasonic sensor was used. An algorithm was developed to read the distance from the ground which was a basis for creating our own algorithm for autonomous landing.The Quadcopter has the ability to stabilize itself in the air, be controlled via a radio transmitter and land autonomously. A safety feature that enables autonomous landing if the Quadcopter travels outside the radio coverage is implemented and also a switch that turns off the engines. The only thing that wasn’t implemented was the crash avoidance in the forward direction because the ultrasonic sensor was not suited for this application.

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Haugen, Kenneth Eide. « Surface Mapping using Quadcopter ». Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25916.

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This thesis studies the use of unmanned aerial vehicles to perform ice managementin the Arctic Ocean by gathering information about and physically control the iceenvironment. Such a system is needed for safety reasons as marine operations aremoving further north. In order to gather information about the ice environment, aUAV will be used for surface mapping. The quadcopter Parrot AR. Drone 2.0 will be used as a testbed for implementing proposed strategies for guidance, navigation and control while doing surface mapping using a camera. A guidance and navigation system is designed and implemented using measurements from onboard sensors and the camera system OptiTrack, which is used to measure position, velocity and orientation of the quadcopter. Using these estimated states as parameters and inputs to a proportional-integral-derivative controller, the position will be controlled. Waypoints are calculated according to desired parameters provided by an operator. An autonomous guidance, navigation and control system that moves the drone in a search pattern inside a desired area requested by the operator, is the result of the designed surface mapping strategy. An algorithm that performs object detection and mapping is implemented for the onboard camera to be able to detect objects in the lab setup. Back-projection of a 2D pixel point to respective world coordinates is implemented. C++ is used for all modules.Sub modules are simulated in Matlab and Simulink before tested with the AR.Drone. Simulations and measurements from lab testing are compared for performance evaluation. Results for the overall implementation shows that a UAV platform for doing object mapping is indeed a concept to pursue. However, this lab setup would not be applicable in a real world experiment. The AR. Drone will, due to its weight and limited power, not be able to operate under heavy wind and weather conditions. Also, detection of ice is more complicated than the suggested implementation, due to factors like weather and light reflections. It should be clear that this system design is rather a prototype illustration of a concept than a system to be used.

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Johansson, Axel, et David Wallén. « Quadcopter Sensor and filter evaluation ». Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191216.

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In an electromechanical system hardware and software interoperate to perform a given task. Regardless of the task, it can be hard to know what level of complexity of components and software needed to perform well. Could you save on production costs by using cheaper sensors or is more expensive alternatives from well-known manufacturers needed? Does the control become simpler if you have more expensive sensors or is there always a need for advanced algorithms and filters? In this report a quadcopter controlled by two different sensors and two different filters has been investigated. The two filters that were compered consisted of a simple complementary filter and a more advanced Kalman filter. The quadcopter was used as an empirical test to see how varying amount of disturbances or less exact data from the sensors affect a real system. The results showed that the performance of the different sensors were quite similar, both in the area of raw data, calculated standard deviances and what was visually observable. With the constructed control system, the quadcopter was stabilizing around one axis with an accuracy of ±4° and the cheaper sensor actually recorded a lower standard deviance of the angle (1.624° compared to 1.754° for the more expensive sensor).
I ett system samspelar hårdvara och mjukvara för att tillsammans utföra önskad uppgift, men det kan vara svårt att veta vilken nivå på komponenter samt kod som krävs. Kan man spara in på produktionskostnader genom att använda billiga sensorer eller bör man investera i dyrare varianter från välkända tillverkare? Blir regleringen enklare om man investerar i en bra sensor eller behövs det alltid avancerade algoritmer och filter? I denna rapport presenteras resultaten från undersökningar av en quadcopter som reglerats med hjälp av två olika sensorer samt använt sig av två olika filter för att filtrera indatat. De två filtren som jämfördes var ett enkelt komplementärfilter och ett mer komplicerat Kalmanfilter. Quadcoptern användes som ett praktiskt test för att se hur mycket störningar eller mindre exakt data från sensorer påverkar ett verkligt system. Resultatet visade att prestandan för sensorerna blev väldigt snarlika, både gällande mätvärden, beräknade standardavvikelser och vad som var visuellt observerbart. Med den konstruerade regulatorn svängde quadcoptern (runt en axel) vid användandet av båda sensorerna mellan ±4° fast den billigare sensorn hade en något lägre standardavvikelse av vinkeln (1.624° jämfört med 1.754° för den dyrare).

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Barbosa, Fernando dos Santos. « 4DOF Quadcopter : development, modeling and control ». Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-23102017-144556/.

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This text presents the development of a four-degree-of-freedom (4DOF) quadcopter prototype that allows the vehicle to rotate around the three axes (yaw, pitch and roll) and linear movement along z-axis (altitude). The goal is to obtain a prototype bench that uses a good amount of components used in commercial quadcopters (sensors and actuators) and use it to apply attitude and altitude controllers, using techniques such as PID, LQR and Sliding-Mode. Starting from the system modeling, its specifications are shown followed by listing the components used, finishing with the development of the controllers and their simulations and applications.
Este texto apresenta o desenvolvimento de um protótipo de quadricóptero com quatro graus de liberdade (4DOF), o qual possibilita a rotação do veículo em torno dos três eixos (yaw, pitch e roll) e o deslocamento ao longo do eixo z (altitude). O objetivo é obter um protótipo de bancada que use a maior quantidade de componentes de um quadricóptero comercial (sensores e atuadores) e usá-lo para a aplicação de controladores de atitude e altitude, utilizando técnicas PID, LQR e Sliding-Mode. Partindo da modelagem do sistema, mostra-se as especificações do mesmo, os componentes utilizados e finaliza-se com o desenvolvimento dos controladores, simulação e aplicação deles.

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Bjarre, Lukas. « Robust Reinforcement Learning for Quadcopter Control ». Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277631.

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Sim-to-Reality transfer in Reinforcement Learning is a promising approach ofsolving costly exploration in real systems, but it comes with the generalizationproblem of transferring policies from simulators to real systems. This thesislooks at ideas presented by Robust Markov Decision Processes, which combinesideas from Reinforcement Learning and Robust Control to create agentswith embedded uncertainty about the simulated environment, opting for pessimisticoptimization in order to handle potential gaps between simulators andreality. These ideas are adapted in order to apply it to a state-of-the-art DeepReinforcement Learning algorithm.The adaptations were tested on the task of positional control of a quadcopter,where agents were trained in a simple simulator and tested on versionsof the simulator with different environment parameters. Agents with higherlevel of robustness outperformed the standard agents in these environments,suggesting that the added robustness increases generality and can help whentransferring policies from simulators to reality.
Överföring från simulator till verklighet är ett lovande tillvägagångsätt inomförstärkt inlärning för att lösa problem med dyr utforskning i verkliga system,men kommer med generaliseringsproblem då styrlagar överförs från simulatorertill verkliga system. Den här tesen studerar idéer presenterade med robustaMarkovbeslutsprocesser, där idéer från förstärkt inlärning och robust reglerteknikkombineras för att skapa agenter med inbygd osäkerhet om den simulerademiljön, där potentiella gap mellan simulator och verklighet hanteras genompessimistik optimisering. Dessa idéer anpassas för att kunna appliceraspå en modern algoritm inom djup försärkt inlärning.Anpassningarna testades på uppgiften om positionell styrning av en fyrbladigdrönare, där agenter tränades i en simpel simulator och testades på versionerav simulatorn med olika miljöparametrar. Agenter med högre nivå avrobusthet utpresterade standardagenterna i dessa miljöer vilket indikerar attden tillagda robustheten ökar generaliseringsförmågor och kan hjälpa till vidöverförning av styrlagar från simulatorer till verklighet.

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Almeida, Diogo. « Event-Triggered Attitude Stabilization of a Quadcopter ». Thesis, KTH, Reglerteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147200.

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There are many possible ways to perform the attitude control of a quadcopter and, recently, the subject of event-triggered control has become relevant in the scientic community. This thesis deals with the analysis and implementation of a saturating attitude controller for a quadcopter system, together with the derivation of an event-triggering rule to work with it. Two distinct rules are presented, one that ensures the stability of the closed loop system, the other, a linearised version that does not. The way those were derived consists in the use of a Lyapunov based approach. The stability of the system when under these rules was veried experimentally.

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Gopabhat, Madhusudhan Meghana. « Control of Crazyflie nano quadcopter using Simulink ». Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10102593.

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This thesis focuses on developing a mathematical model in Simulink to Crazyflie, an open source platform. Attitude, altitude and position controllers of a Crazyflie are designed in the mathematical model. The mathematical model is developed based on the quadcopter system dynamics using a non-linear approach. The parameters of translational and rotational dynamics of the quadcopter system are linearized and tuned individually. The tuned attitude and altitude controllers from the mathematical model are implemented on real time Crazyflie Simulink model to achieve autonomous and controlled flight.

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Ye, Haoquan. « Control of Quadcopter UAV by Nonlinear Feedback ». Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1523544168630815.

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Palivela, Yaswanth. « Speech Assisted Interface for Quadcopter Flight Control ». University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1526247041269609.

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Cunta, Aharon. « Novel quadcopter flight controller and telemetry remote ». Thesis, Cunta, Aharon (2015) Novel quadcopter flight controller and telemetry remote. Honours thesis, Murdoch University, 2015. https://researchrepository.murdoch.edu.au/id/eprint/29840/.

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This project designed, constructed and implemented a novel quadcopter flight controller and remote. With the quadcopters’ popularity ever increasing, more people are making use of the advantages this machine can offer. From surf photographers to hobbyists, the quadcopter needs to be easy to setup, tune and relay information back to the operator to ensure safe flight. A functionality not found on today’s market. Components were chosen, tested and implemented to create a functioning quadcopter flight controller and remote system. Although the implementation is regarded as being successful, there are still some design changes that could improve the functionality of the system. Noise from altitude readings hampered the altitude hold functionality and as well as no method implemented to counter for the change in barometric pressure throughout the day. But with efficient code making use of hardware the hardware, there is still sufficient computational time left to implement signal filtering simply not available at the lower market end of commercial flight controllers. An additional $10 barometer could also solve the altitude creep as ground barometric pressure changes.

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Livres sur le sujet "Quadcopter"

Mehta, Axaykumar, et Akash Modi. Robust Sliding Mode Protocols for Formation of Quadcopter Swarm. Singapore : Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9726-8.

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Fascination Quadcopter. Books on Demand GmbH, 2016.

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Eslinger, Paul. Quadcopter Conspiracy. Independently Published, 2017.

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Nz MI Minerva Quadcopter. Blurb, 2021.

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Nz MI Minerva Quadcopter. Blurb, 2021.

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Building a Quadcopter with Arduino. Packt Publishing, 2016.

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Building a Quadcopter with Arduino. Packt Publishing, Limited, 2016.

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Still, Duncan. How to Build a Quadcopter Drone : A Complete Guide to Building a Radio Controlled Quadcopter. Independently Published, 2015.

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Dimson, Daniel. Quadcopter Engineering and Photography : Quadcopter Repair Tips and Walkthroughs, with Cinematic Photography Advise and Guides. Independently Published, 2022.

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How to Buy and Fly a Quadcopter Drone. Books on Demand GmbH, 2016.

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Plus de sources

Chapitres de livres sur le sujet "Quadcopter"

Agarwal, Hans, Apar Singhal et K. Hans Raj. « 3D Printed Quadcopter ». Dans Lecture Notes in Mechanical Engineering, 491–99. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8025-3_48.

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Pashayev, Adalat, et Elkhan Sabziev. « Modeling Quadcopter Stabilization ». Dans Communications in Computer and Information Science, 324–37. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-73417-5_25.

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Meena, Ramannolla, et U. Syed Abudhagir. « Hand Gesture-Based Quadcopter ». Dans Lecture Notes in Electrical Engineering, 1–10. Singapore : Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1906-8_1.

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Eswaran, P., Mahendar Guda, Mukunda Priya et Zeeshan Khan. « Stabilization of UAV Quadcopter ». Dans Proceedings of the International Conference on Soft Computing Systems, 827–37. New Delhi : Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2671-0_78.

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Mule, Ashwini G., et R. P. Chaudhari. « Insecticide Spraying Using Quadcopter ». Dans Intelligent Data Communication Technologies and Internet of Things, 450–56. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34080-3_51.

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Mendoza-Mendoza, Julio Alberto, Victor Gonzalez-Villela, Gabriel Sepulveda-Cervantes, Mauricio Mendez-Martinez et Humberto Sossa-Azuela. « Quadcopter Control with Smooth Flight Mode ». Dans Advanced Robotic Vehicles Programming, 237–321. Berkeley, CA : Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5531-5_6.

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Kuantama, Endrowednes, Dan Craciun, Ioan Tarca et Radu Tarca. « Quadcopter Propeller Design and Performance Analysis ». Dans New Advances in Mechanisms, Mechanical Transmissions and Robotics, 269–77. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45450-4_27.

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Obeidat, Yusra, et Rana Daoud. « A Quadcopter Development for Security Purposes ». Dans Proceedings of the Second International Conference on Advances in Computing Research (ACR’24), 529–42. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56950-0_43.

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Yadava, Rajat, et Anas Aslam. « Farming System : Quadcopter Fabrication and Development ». Dans Lecture Notes in Mechanical Engineering, 285–93. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3033-3_25.

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Dhakad, Om Veer, et Vivek Kumar. « Fractional Order Sliding-Mode Controller for Quadcopter ». Dans Lecture Notes in Mechanical Engineering, 381–92. Singapore : Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6577-5_36.

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Actes de conférences sur le sujet "Quadcopter"

Smith, Brendan, et Farhan Gandhi. « Quadcopter Noise Variation Due to Relative Rotor Phasing ». Dans Vertical Flight Society 80th Annual Forum & Technology Display, 1–11. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1335.

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This study examines the acoustics in hover for manned-size, multi-rotor, eVTOL aircraft in a quadcopter configuration. The rotors on such larger aircraft could have collective pitch control allowing them to operate at a fixed rotational speed. This paper seeks to explore how the relative phasing between the rotors affects the acoustics. Quadcopters with three different rotors are considered: a baseline solidity σ rotor with number of blades N = 2, a 3σ rotor with number of blades N = 2, and a 3σ rotor with number of blades N = 5. The simulations use the Rensselaer Multicopter Analysis Code (RMAC) for the aerodynamic loads on the blades, coupled to an acoustic propagation code for noise predictions at observers in the plane of the quadcopter and at elevations of 30 deg and 60 deg (below the quadcopter). The starting phase of rotors 2, 3, and 4 are varied relative to rotor 1, resulting in 216 total phasing cases for each rotor. From the simulation results in this study, the range of variation in tonal noise (due to thickness and loading) was between 21-30 dB in overall sound pressure level (OASPL). If there is phase locking between rotors, for 2-bladed rotors orthogonal phasing was generally observed to produce low average noise, while tip-to-tip phasing produced higher averaged noise, but this observation did not hold for 5-bladed rotors. For high-solidity 2-bladed rotors, the unweighted OASPL from tonal noise (thickness and loading) is greater than that from broadband noise, especially in-plane and at low elevation angles. But for high-solidity 5-bladed rotors, OASPL from broadband noise was observed to be higher than from tonal noise.

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Wolf, C. Christian, Daniel Schanz, Clemens Schwarz, Alexander Heintz, Johannes Bosbach, Tobias Strobing et Andreas Schroder. « Volumetric Wake Investigation of a Free-Flying Quadcopter using Shake-The-Box Lagrangian ». Dans Vertical Flight Society 80th Annual Forum & Technology Display, 1–16. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1161.

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The Shake-The-Box technique was applied to experimentally quantify the time-resolved volumetric flow field around a free-flying quadcopter UAV with an overall span of about 0.5 m. State-of-the-art LED illumination and high-speed camera equipment was combined with modern Lagrangian tracer particle tracking and data assimilation techniques, facilitating a measurement volume larger than 1.5m3. The setup allowed for both hover and limited maneuvering of the quadcopter, while resolving even small details of the complex interactional aerodynamics. In hover out of ground effect, the four individual rotor wakes merged into a single jet within a few rotor radii below the rotor planes. Evaluating the mass and momentum fluxes over suitable control volumes yields accurate estimates for the quadcopter's total thrust, the asymmetric thrust distribution between front and back rotors, and the entrainment of external flow through turbulent mixing. Hover in ground effect decreases the power requirement and induces recirculating flow in the center of the four rotors. The outwash pattern is non-uniform with jets developing between the rotors and pointing in radially outward directions. Forward flight cases result in a skewed, rapidly merging wake flanked by the roll-up of two "super-vortices" similar to the wingtip vortices of fixed-wing vehicles.

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Elangovan, Y. « Aerial Radiation Monitoring using Quadcopter ». Dans 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), 1. IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10654919.

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Hemmati, Vahid, Mohammad Behnia, Ahmad Mohammadi, Abdul-Rauf Nuhu et Abdollah Homaifar. « Mission-Based Quadcopter Flight Simulation ». Dans 2024 AIAA DATC/IEEE 43rd Digital Avionics Systems Conference (DASC), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/dasc62030.2024.10749535.

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Hagaribommanahalli, Sachin, et Alan Wagner. « Initial Steps Towards Quadcopter-based Brick Placement for Construction ». Dans Vertical Flight Society 74th Annual Forum & Technology Display, 1–6. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12910.

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We propose the possibility of using an autonomous quadcopter in a construction setting to build meaningful structures. In this paper we demonstrate these ideas using a quadcopter tasked with carrying bricks to locations specified by a notional blueprint. In our demonstrations, the quadcopter carries a foam brick to a predetermined position and places it with respect to the other bricks to create a 2-dimensional structure as specified by the blueprint. Computer vision techniques are used to verify brick positions and motion capture is used to localize the quadcopter. A custom-built 3D printed pick up/drop mechanism is used to carry the brick from the initial point to the final point. We demonstrated that a variety of structures can be created autonomously in practice using a quadcopter. We measure performance in terms of positional correctness of the structure as measured by the lateral placement error and orientation angle error. This paper discusses the theoretical approach to path generation and control systems, computer vision algorithms, blueprint algorithms, and the pick-up and drop mechanism.

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Sridhar, Siddharth, Rumit Kumar, Mohammadreza Radmanesh et Manish Kumar. « Non-Linear Sliding Mode Control of a Tilting-Rotor Quadcopter ». Dans ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5375.

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A non-linear control of a tilt-rotor quadcopter using sliding mode technique is presented in this paper. The tilt-rotor quadcopters are a novel class of quadcopters with a servo motor installed on each arm that enables the quadcopter’s rotors to tilt to a particular angle. Using these additional tilt angles, this type of a quadcopter can be used to achieve desired trajectories with faster maneuvering and can handle external disturbances better than a conventional quadcopter. In this paper, sliding mode control technique is utilized for the pitch, roll and yaw motions for the quadcopter while an independent PD controller provides the tilt angles to the servo motors. The dynamic model of the tilt-rotor quadcopter is presented, based on which sliding surfaces were designed to minimize the tracking errors. Using the control inputs derived from these sliding surfaces, the state variables converge to their desired values in finite-time. Further, the non-linear sliding surface coefficients are obtained by stability analysis. Numerical simulation results demonstrate the performance and robustness against disturbances of this proposed sliding mode control technique.

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Sridhar, Siddharth, Rumit Kumar, Kelly Cohen et Manish Kumar. « Fault Tolerance of a Reconfigurable Tilt-Rotor Quadcopter Using Sliding Mode Control ». Dans ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9199.

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Tilt-rotor quadcopters are a novel class of quadcopters with a servo motor attached on each arm that assist the quadcopter’s rotors to tilt to a desired angle thereby enabling thrust vectoring. Using these additional tilt angles, this type of a quadcopter can be used to achieve desired trajectories with faster maneuvering and can handle external disturbances better than a conventional quadcopter. In this paper, a non-linear controller has been designed using sliding mode technique for the pitch, roll, yaw motions and the servo motor tilt angles of the quadcopter. The dynamic model of the tilt-rotor quadcopter is presented, based on which sliding surfaces were designed to minimize the tracking errors. Using the control inputs derived from these sliding surfaces, the state variables converge to their desired values in finite-time. Further, the non-linear sliding surface coefficients are obtained by stability analysis. The robustness of this proposed sliding mode control technique is shown when a faulty motor scenario is introduced. The quadcopter transforms into a T-copter design upon motor failure thereby abetting the UAV to cope up with the instabilities experienced in yaw, pitch and roll axes and still completing the flight mission. The dynamics of the T-copter design and the derivation of the switching surface coefficients for this reconfigurable system are also presented.

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Kumar, Rumit, Alireza Nemati, Manish Kumar, Kelly Cohen et Franck Cazaurang. « Position and Attitude Control by Rotor Tilt and Rotor Speed Synchronization for Single Axis Tilting-Rotor Quadcopter ». Dans ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5232.

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In this paper, the control maneuvering, and performance analysis of a tilting-rotor quadcopter during autonomous flight is presented. Unlike traditional quadcopters, a tilting-rotor quadcopter provides additional actuated controls as the propeller motors are actuated for tilt which can be utilized to improve efficiency of the aerial vehicle during flight. The tilting-rotor quadcopter design is accomplished by using an additional servo motor for each rotor that enables the rotor to tilt about the axis of quadcopter arm. Here, a detailed control strategy has been discussed to use the propeller tilts for position and orientation control during completely autonomous flights of the quadcopter. In conventional quadcopters, the variation in rotational speeds of the four propellers is utilized for maneuvering. This work incorporates use of varying propeller rotational speeds along with tilting of the propellers for maneuvering the quadcopter during flight. A PD controller is developed to achieve various modes of flight and numerical simulation results are presented demonstrating the performance of the controller. Furthermore, the performance of the tilt-rotor design is compared with respect to the conventional quadcopter in the presence of wind disturbances and uncertainties in the system.

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Tornero, Erick D. « Reinforcement Learning Approach to Fly Quadcopters with a Faulted Rotor ». Dans LatinX in AI at Neural Information Processing Systems Conference 2019. Journal of LatinX in AI Research, 2019. http://dx.doi.org/10.52591/lxai2019120838.

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As applications of quadcopters increase, the development of robust and reliable algorithms to control quadcopters are becoming more meaningful. In this work, we deal with the problem of losing one rotor in the quadcopter. Previous works rely on modeling the complex dynamics of quadcopter and apply some of the existing modern control techniques. In this work we propose to solve this problem using a model-based reinforcement learning framework in conjunction with a meta-learning approach, our main aim is to study solutions of complex dynamics and fast adaptation in challenging robot tasks such as flying a quadcopter only using three rotors.

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OLIVEIRA, LARA TAVARES DE, KAIQUE SILVEIRA VIANA COSTA, KENEDY MATIASSO PORTELLA, LUCAS VIZZOTTO BELLINASO, FERNANDA DE MORAIS CARNIELUTTI et DENIEL DESCONZI MORAES. « Quadcopter Modeling and Control Using Controller Hardware-in-the-Loop ». Dans Seminar on Power Electronics and Control (SEPOC 2021). sepoc, 2021. http://dx.doi.org/10.53316/sepoc2021.080.

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Quadcopters have many applications and an efficient controller is needed for reference tracking and to maintain vehicle stability. Quadcopter tests may require expensive laboratory setup to include certain conditions such as wind, with adequate control and monitoring. In this paper a bench markmodel of quadcopter is implemented in Hardware-In-the-Loop, in order to test the quadcopter controller considering different conditions of wind. For experimental results, an LQT controller has been implemented in a DSP, while the quadcopter was implemented in the real-time simulator Typhoon HIL.

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Rapports d'organisations sur le sujet "Quadcopter"

Rudolph, Kirk. Exploration of real-time quadcopter controls. Ames (Iowa) : Iowa State University, janvier 2018. http://dx.doi.org/10.31274/cc-20240624-696.

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Neilson, Michael. Quadcopter Controller Hardware and Software Design. Ames (Iowa) : Iowa State University, août 2022. http://dx.doi.org/10.31274/cc-20240624-1179.

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Sonugür, Güray, Celal Onur Gçkçe, Yavuz Bahadır Koca et Şevket Semih Inci. Particle Swarm Optimization Based Optimal PID Controller for Quadcopters. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, décembre 2021. http://dx.doi.org/10.7546/crabs.2021.12.11.

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Kraczek, Brent, et Carl Lederman. An Adaptable Nonlinear Control for Quadcopters in Heavy Winds. Aberdeen Proving Ground, MD : DEVCOM Army Research Laboratory, août 2022. http://dx.doi.org/10.21236/ad1179167.

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Grand-Clément, Sarah, et Theò Bajon. Uncrewed Aerial Systems : A Primer. UNIDIR, octobre 2022. http://dx.doi.org/10.37559/caap/22/erc/12.

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The production and use of uncrewed aerial systems (UASs) – which include vehicles that can be piloted either remotely or semi-autonomously – has increased. This primer introduces the different types of UAS (otherwise known as drones), including fixed-wing systems and rotary-wing systems such as quadcopters. It describes their key components and functions, as well as outlining the main challenges that these systems can pose to international security. The focus of the primer is on describing the main areas of technological innovation and development related to the key components that comprise UASs, outlining the anticipated areas of progress and potential concern.

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