Relevant bibliographies by topics / Unmanned Aerial Vehicles Flight Control

Academic literature on the topic 'Unmanned Aerial Vehicles Flight Control'

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Published: 6 September 2023

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Journal articles on the topic "Unmanned Aerial Vehicles Flight Control"

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KUTPANOVA, Zarina A., Hakan TEMELTAS, and Serik A. KULMAMIROV. "Flight control and collision avoidance of three UAVs following each other." INCAS BULLETIN 14, no. 4 (December 2, 2022): 79–94. http://dx.doi.org/10.13111/2066-8201.2022.14.4.7.

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An unmanned aerial vehicle is a hardware and software complex with multi-purpose control. Unlike manned aviation, an unmanned aerial vehicle requires additional modules in its control system. These include the drone itself, the operator's workplace, software, data transmission lines and blocks necessary to fulfil the set flight objectives. The range of applications of unmanned aerial vehicles in the civil sector is not limited, but with the current state of the legal framework for the use of airspace, flight operations are somewhat difficult. The article formulates the main scientific position on the methodology of solving auxiliary tasks set in the work. The methodology specifies the main research stages, and it is a generalized methodological algorithm for the implementation of scientific research, which provides theoretical developments, field observations and simulation computer modelling. As a result of the study, it was found that the motion control systems of unmanned aerial vehicles are used for the process of their differentiation by the principle of complete external control, the advantages of which are considered in the work. For external control of divergence process of unmanned aerial vehicles, a method is considered for assessing the situation of convergence of unmanned aerial vehicles and choosing the manoeuvre of their difference using the area of dangerous courses, unmanned aerial vehicles approach, and it is possible to take into account the inertia of unmanned aerial vehicles when turning and the presence of navigational hazards that are in the manoeuvring area.
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Bdour, Jawad, and Belal H. Sababha. "A hybrid thrusting system for increasing the endurance time of multirotor unmanned aerial vehicles." International Journal of Advanced Robotic Systems 20, no. 3 (May 1, 2023): 172988062311723. http://dx.doi.org/10.1177/17298806231172335.

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One of the most significant disadvantages of electric multirotor unmanned aerial vehicles is their short flight time compared to fuel-powered unmanned aerial vehicles. This is mainly due to the low energy density of electric batteries. Fuel has much more energy density when compared to batteries. Electric-powered motors in multirotor unmanned aerial vehicles cannot be replaced with fuel-based engines because the stability and control of multirotor unmanned aerial vehicles rely on the high response rates of electric motors. One of the possible solutions to overcome this problem of short endurance times is by using hybrid thrusting systems that combine the advantages of both fuel and electrical propulsion systems, where high maneuverability and long endurance flight time could be achieved. In this work, hybrid thrusting and power systems for multirotor unmanned aerial vehicles are studied. Targeted hybrid thrusting systems consist of combustion engines, electric motors, and their power sources. Then a hybrid thrusting system-based quadrotor unmanned aerial vehicle model is developed. The article presents the altitude and attitude control systems of the developed hybrid thrusting system-based unmanned aerial vehicle. The presented hybrid quadcopter model comprises four electric motors and one fuel engine. The fuel engine used in this work is a 4.07 cc internal combustion engine targeting 2–3 kg unmanned aerial vehicles with up to 5 kg maximum takeoff weight. The developed hybrid quadrotor unmanned aerial vehicle achieved a 139% improvement in flight time when compared with traditional electric-based quadrotor unmanned aerial vehicles. The article also reports on other flight time-related issues such as the optimal fuel mass to battery size ratio to maximize the endurance time of the quadrotor unmanned aerial vehicles.
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Oktay, Tugrul, Harun Celik, and Ilke Turkmen. "Maximizing autonomous performance of fixed-wing unmanned aerial vehicle to reduce motion blur in taken images." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 7 (March 28, 2018): 857–68. http://dx.doi.org/10.1177/0959651818765027.

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In this study, reducing motion blur in images taken by our unmanned aerial vehicle is investigated. Since shakes of unmanned aerial vehicle cause motion blur in taken images, autonomous performance of our unmanned aerial vehicle is maximized to prevent it from shakes. In order to maximize autonomous performance of unmanned aerial vehicle (i.e. to reduce motion blur), initially, camera mounted unmanned aerial vehicle dynamics are obtained. Then, optimum location of unmanned aerial vehicle camera is estimated by considering unmanned aerial vehicle dynamics and autopilot parameters. After improving unmanned aerial vehicle by optimum camera location, dynamics and controller parameters, it is called as improved autonomous controlled unmanned aerial vehicle. Also, unmanned aerial vehicle with camera fixed at the closest point to center of gravity is called as standard autonomous controlled unmanned aerial vehicle. Both improved autonomous controlled and standard autonomous controlled unmanned aerial vehicles are performed in real time flights, and approximately same trajectories are tracked. In order to compare performance of improved autonomous controlled and standard autonomous controlled unmanned aerial vehicles in reducing motion blur, a motion blur kernel model which is derived using recorded roll, pitch and yaw angles of unmanned aerial vehicle is improved. Finally, taken images are simulated to examine effect of unmanned aerial vehicle shakes. In comparison with standard autonomous controlled flight, important improvements on reducing motion blur are demonstrated by improved autonomous controlled unmanned aerial vehicle.
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Szabolcsi, Róbert. "Pole Placement Technique Applied in Unmanned Aerial Vehicles Automatic Flight Control Systems Design." Land Forces Academy Review 23, no. 1 (March 1, 2018): 88–98. http://dx.doi.org/10.2478/raft-2018-0011.

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Abstract Unmanned aerial vehicles are widely spread and intensively used ones both in governmental and in private applications. The standard arrangements of the commercial-off-the-shelves unmanned aerial vehicles sometimes neglect application of the automatic flight control system onboard. However, there are many initiatives to ensure autonomous flights of the unmanned aerial vehicles via pre-programmed flight paths. Moreover, automatic flight control system can ensure necessary level of the flight safety both in VFR and IFR flights. The aim of this study is to guide UAV users in set up commercial onboard autopilots available on the market. On the contrary, fitness of the autopilot to a given type of the air robot is not guaranteed, and, an extra load on users can appear in controller settings. The proposed pole placement technique is one of the proper methods eliminating difficulties, and, computer aided gain selection using MATLAB will be presented.
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Pereguda, O. M., A. V. Rodionov, and S. P. Samoilyk. "APPROACH TO INCREASING THE SURVIVABILITY OF CLASS I UNMANNED AERIAL VEHICLE IN EMERGENCY OPERATIONS." Проблеми створення, випробування, застосування та експлуатації складних інформаційних систем, no. 18 (December 30, 2020): 54–63. http://dx.doi.org/10.46972/2076-1546.2020.18.06.

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The article proposes an approach to increasing the survivability of class I unmanned aerial vehicles in emergency operations which involves development of an onboard information system for identifying emergency occasions in flight and the synthesis of a control action on the unmanned aircraft in case of hazardous factors influence. As the result of the analysis of the main trends in the development of unmanned aerial vehicles onboard control systems, it was found that the leading countries are paying significant attention to increasing their intellectualization level. This is necessary to ensure the fulfilment of complex tasks that are assigned to modern unmanned aerial vehicles in the military and civilian spheres. The main directions of such researches are identifying the problem of swarm application of unmanned aerial vehicles and expanding the capabilities of onboard control systems maintain automatically the values of certain parameters when the flight conditions changes. As the approach to increasing the survivability of a class I unmanned aerial vehicle, a vision of an onboard information system for identifying emergency occasions in flight and synthesis of control action is proposed, the functional purpose of its components is described. It is suggested that this system will be comprised of a subsystem for identifying emergency cases in flight and determining the class I unmanned aerial vehicle threat level and a subsystem for synthesizing control action. Governing documents and regulations for the state aviation of Ukraine determines the list of aircraft emergency occasions. Article mentions the necessity of detailing emergency occasions in flight, which are typical for class I unmanned aerial vehicles and an approach to their classification is proposed. A vision of the nearest partial scientific tasks and a list of expected scientific results of research in this direction are given.
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Chang, Bao Rong, Hsiu-Fen Tsai, Jyong-Lin Lyu, and Chien-Feng Huang. "Distributed sensing units deploying on group unmanned vehicles." International Journal of Distributed Sensor Networks 17, no. 7 (July 2021): 155014772110368. http://dx.doi.org/10.1177/15501477211036877.

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This study aims to use two unmanned vehicles (aerial vehicles and ground vehicles) to implement multi-machine cooperation to complete the assigned tasks quickly. Unmanned aerial/ground vehicles can call each other to send instant inquiry messages using the proposed cooperative communication protocol to hand over the tasks between them and execute efficient three-dimensional collaborative operations in time. This study has demonstrated integrating unmanned aerial/ground vehicles into a group through the control platform (i.e. App operation interface) that uses the Internet of Things. Therefore, pilots can make decisions and communicate through App for cooperative coordination, allowing a group of unmanned aerial/ground vehicles to complete the tasks flexibly. In addition, the payload attached to unmanned air/ground vehicles can carry out multipurpose monitoring that implements face recognition, gas detection, thermal imaging, and video recording. During the experiment of unmanned aerial vehicle, unmanned aerial vehicle will plan the flight path and record the movement trajectory with global positioning system when it is on duty. As a result, the accuracy of the planned flight path achieved 86.89% on average.
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Romaniuk, L., and I. Chykhira. "MECHANISM OF ENSURING SAFE UAV MOVEMENT UNDER THE CONDITIONS OF RADIO ATTACKS." Municipal economy of cities 4, no. 157 (September 25, 2020): 178–83. http://dx.doi.org/10.33042/2522-1809-2020-4-157-178-183.

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Purpose. The aim of the article is to reveal the mechanism of formation of safe UAV movement in the conditions of radio attacks. Methodology. Scientists from Ternopil National Technical University named after Ivan Pulyuy have consistently developed and studied several mechanisms for the formation of safe movement of unmanned aerial vehicles in radio attacks in order to create a perfect model with which to launch UAVs in areas with high radio attack. As a result of previous work, the mechanism of formation of safe movement of UAVs in the conditions of radio attacks based on methods of increasing the stability of providing information about the route of the unmanned aerial vehicle in the use of REP and air defense systems. Results. The article reveals the mechanism of formation of safe movement of unmanned aerial vehicle in the conditions of radio attacks. Analysis of known solutions in the field of increasing the stability of the control path of unmanned aerial vehicles and electronic suppression demonstrated the relevance of the problem of forming flight routes of unmanned aerial vehicles bypassing opposing enemy areas, taking into account the use of air defense and electronic warfare. The authors emphasize that most drone control tasks are now automated due to their high complexity and versatility. An automated control system operating under the control of a human operator is used as a control factor on an unmanned aircraft. It is emphasized that the main threats to unmanned aerial vehicles in modern conditions are the possibility of their destruction by air defense systems, as well as disruption of the radio communication and control system between the control center and the UAV by electronic suppression. The need for constant tracking of UAV flight by transmitting commands from the launcher is revealed. It is also emphasized the low level of automation of the onboard control system of the unmanned aerial vehicle and the inability to make adequate decisions on information received from onboard sensors in complex situations that require constant monitoring of UAV flight by a human operator. Scientific novelty. For the first time the functional scheme of the UAV recognition mechanism in the conditions of radio attacks is developed and the mechanism of formation of safe movement of the UAV in the conditions of radio attacks which is based on three basic techniques is defined. The first method is the method of clustering the flight zones of an unmanned aerial vehicle according to the degree of control stability. Based on the second method, the authors propose a method of forming the routes of UAV flights, taking into account the location of air defense and electronic warfare. The last link is the method of assessing the stability of providing information about the route of the unmanned aerial vehicle in terms of the use of air defense and electronic warfare. Practical relevance. The results of the work can be implemented in the process of forming the safe movement of UAVs in the conditions of radio attacks. Keywords: unmanned aerial vehicle; air traffic control; space; security; flight.
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Tang, Sarah, and Vijay Kumar. "Autonomous Flight." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (May 28, 2018): 29–52. http://dx.doi.org/10.1146/annurev-control-060117-105149.

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This review surveys the current state of the art in the development of unmanned aerial vehicles, focusing on algorithms for quadrotors. Tremendous progress has been made across both industry and academia, and full vehicle autonomy is now well within reach. We begin by presenting recent successes in control, estimation, and trajectory planning that have enabled agile, high-speed flight using low-cost onboard sensors. We then examine new research trends in learning and multirobot systems and conclude with a discussion of open challenges and directions for future research.
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Chen, Chao, Jiyang Zhang, Daibing Zhang, and Lincheng Shen. "Control and flight test of a tilt-rotor unmanned aerial vehicle." International Journal of Advanced Robotic Systems 14, no. 1 (January 1, 2017): 172988141667814. http://dx.doi.org/10.1177/1729881416678141.

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Tilt-rotor unmanned aerial vehicles have attracted increasing attention due to their ability to perform vertical take-off and landing and their high-speed cruising abilities, thereby presenting broad application prospects. Considering portability and applications in tasks characterized by constrained or small scope areas, this article presents a compact tricopter configuration tilt-rotor unmanned aerial vehicle with full modes of flight from the rotor mode to the fixed-wing mode and vice versa. The unique multiple modes make the tilt-rotor unmanned aerial vehicle a multi-input multi-output, non-affine, multi-channel cross coupling, and nonlinear system. Considering these characteristics, a control allocation method is designed to make the controller adaptive to the full modes of flight. To reduce the cost, the accurate dynamic model of the tilt-rotor unmanned aerial vehicle is not obtained, so a full-mode flight strategy is designed in view of this situation. An autonomous flight test was conducted, and the results indicate the satisfactory performance of the control allocation method and flight strategy.
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Wang, Bo Hang, Dao Bo Wang, Zain Anwar Ali, Bai Ting Ting, and Hao Wang. "An overview of various kinds of wind effects on unmanned aerial vehicle." Measurement and Control 52, no. 7-8 (May 13, 2019): 731–39. http://dx.doi.org/10.1177/0020294019847688.

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Attitude, speed, and position of unmanned aerial vehicles are susceptible to wind disturbance. The types, characteristics, and mathematical models of the wind, which have great influence on unmanned aerial vehicle in the low-altitude environment, are summarized, including the constant wind, turbulent flow, many kinds of wind shear, and the propeller vortex. Combined with the mathematical model of the unmanned aerial vehicle, the mechanism of unmanned aerial vehicle movement in the wind field is illustrated from three different kinds of viewpoints including velocity viewpoint, force viewpoint, and energy viewpoint. Some simulation tests have been implemented to show the effects of different kinds of wind on unmanned aerial vehicle’s path and flight states. Finally, some proposals are presented to tell reader in which condition, which wind model should be added to simulation, and how to enhance the stability of unmanned aerial vehicle for different kinds of wind fields.
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Dissertations / Theses on the topic "Unmanned Aerial Vehicles Flight Control"

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Peddle, Iain Kenneth. "Acceleration based manoeuvre flight control system for Unmanned Aerial Vehicles /." Link to the online version, 2008. http://hdl.handle.net/10019/1425.

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Peddle, Iain K. "Acceleration based manoeuvre flight control system for unmanned aerial vehicles." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/1172.

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Thesis (PhD (Electrical and Electronic Engineering))--Stellenbosch University, 2008.
A strategy for the design of an effective, practically feasible, robust, computationally efficient autopilot for three dimensional manoeuvre flight control of Unmanned Aerial Vehicles is presented. The core feature of the strategy is the design of attitude independent inner loop acceleration controllers. With these controllers implemented, the aircraft is reduced to a point mass with a steerable acceleration vector when viewed from an outer loop guidance perspective. Trajectory generation is also simplified with reference trajectories only required to be kinematically feasible. Robustness is achieved through uncertainty encapsulation and disturbance rejection at an acceleration level. The detailed design and associated analysis of the inner loop acceleration controllers is carried out for the case where the airflow incidence angles are small. For this case it is shown that under mild practically feasible conditions the inner loop dynamics decouple and become linear, thereby allowing the derivation of closed form pole placement solutions. Dimensional and normalised non-dimensional time variants of the inner loop controllers are designed and their respective advantages highlighted. Pole placement constraints that arise due to the typically weak non-minimum phase nature of aircraft dynamics are developed. A generic, aircraft independent guidance control algorithm, well suited for use with the inner loop acceleration controllers, is also presented. The guidance algorithm regulates the aircraft about a kinematically feasible reference trajectory. A number of fundamental basis trajectories are presented which are easily linkable to form complex three dimensional manoeuvres. Results from simulations with a number of different aircraft and reference trajectories illustrate the versatility and functionality of the autopilot. Key words: Aircraft control, Autonomous vehicles, UAV flight control, Acceleration control, Aircraft guidance, Trajectory tracking, Manoeuvre flight control.
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Drozeski, Graham R. "A Fault-Tolerant Control Architecture for Unmanned Aerial Vehicles." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7523.

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Research has presented several approaches to achieve varying degrees of fault-tolerance in unmanned aircraft. Approaches in reconfigurable flight control are generally divided into two categories: those which incorporate multiple non-adaptive controllers and switch between them based on the output of a fault detection and identification element and those that employ a single adaptive controller capable of compensating for a variety of fault modes. Regardless of the approach for reconfigurable flight control, certain fault modes dictate system restructuring in order to prevent a catastrophic failure. System restructuring enables active control of actuation not employed by the nominal system to recover controllability of the aircraft. After system restructuring, continued operation requires the generation of flight paths that adhere to an altered flight envelope. The control architecture developed in this research employs a multi-tiered hierarchy to allow unmanned aircraft to generate and track safe flight paths despite the occurrence of potentially catastrophic faults. The hierarchical architecture increases the level of autonomy of the system by integrating five functionalities with the baseline system: fault detection and identification, active system restructuring, reconfigurable flight control, reconfigurable path planning, and mission adaptation. Fault detection and identification algorithms continually monitor aircraft performance and issue fault declarations. When the severity of a fault exceeds the capability of the baseline flight controller, active system restructuring expands the controllability of the aircraft using unconventional control strategies not exploited by the baseline controller. Each of the reconfigurable flight controllers and the baseline controller employ a proven adaptive neural network control strategy. A reconfigurable path planner employs an adaptive model of the vehicle to re-shape the desired flight path. Generation of the revised flight path is posed as a linear program constrained by the response of the degraded system. Finally, a mission adaptation component estimates limitations on the closed-loop performance of the aircraft and adjusts the aircraft mission accordingly. A combination of simulation and flight test results using two unmanned helicopters validates the utility of the hierarchical architecture.
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Pietersen, Willem Hermanus. "System identification for fault tolerant control of unmanned aerial vehicles." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4164.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2010.
ENGLISH ABSTRACT: In this project, system identification is done on the Modular Unmanned Aerial Vehicle (UAV). This is necessary to perform fault detection and isolation, which is part of the Fault Tolerant Control research project at Stellenbosch University. The equations necessary to do system identification are developed. Various methods for system identification is discussed and the regression methods are implemented. It is shown how to accommodate a sudden change in aircraft parameters due to a fault. Smoothed numerical differentiation is performed in order to acquire data necessary to implement the regression methods. Practical issues regarding system identification are discussed and methods for addressing these issues are introduced. These issues include data collinearity and identification in a closed loop. The regression methods are implemented on a simple roll model of the Modular UAV in order to highlight the various difficulties with system identification. Different methods for accommodating a fault are illustrated. System identification is also done on a full nonlinear model of the Modular UAV. All the parameters converges quickly to accurate values, with the exception of Cl R , CnP and Cn A . The reason for this is discussed. The importance of these parameters in order to do Fault Tolerant Control is also discussed. An S-function that implements the recursive least squares algorithm for parameter estimation is developed. This block accommodates for the methods of applying the forgetting factor and covariance resetting. This block can be used as a stepping stone for future work in system identification and fault detection and isolation.
AFRIKAANSE OPSOMMING: In hierdie projek word stelsel identifikasie gedoen op die Modulêre Onbemande Vliegtuig. Dit is nodig om foutopsporing en isolasie te doen wat ’n deel uitmaak van fout verdraagsame beheer. Die vergelykings wat nodig is om stelsel identifikasie te doen is ontwikkel. Verskeie metodes om stelsel identifikasie te doen word bespreek en die regressie metodes is uitgevoer. Daar word gewys hoe om voorsiening te maak vir ’n skielike verandering in die vliegtuig parameters as gevolg van ’n fout. Reëlmatige numeriese differensiasie is gedoen om data te verkry wat nodig is vir die uitvoering van die regressie metodes. Praktiese kwessies aangaande stelsel identifikasie word bespreek en metodes om hierdie kwessies aan te spreek word gegee. Hierdie kwessies sluit interafhanklikheid van data en identifikasie in ’n geslote lus in. Die regressie metodes word toegepas op ’n eenvoudige rol model van die Modulêre Onbemande Vliegtuig om die verskeie kwessies aangaande stelsel identifikasie uit te wys. Verskeie metodes vir die hantering vir ’n fout word ook illustreer. Stelsel identifikasie word ook op die volle nie-lineêre model van die Modulêre Onbemande Vliegtuig gedoen. Al die parameters konvergeer vinnig na akkurate waardes, met die uitsondering van Cl R , CnP and Cn A . Die belangrikheid van hierdie parameters vir fout verdraagsame beheer word ook bespreek. ’n S-funksie blok vir die rekursiewe kleinste-kwadraat algoritme is ontwikkel. Hierdie blok voorsien vir die metodes om die vergeetfaktor en kovariansie herstelling te implementeer. Hierdie blok kan gebruik word vir toekomstige werk in stelsel identifikasie en foutopsporing en isolasie.
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Karlsson, Mia. "Control of Unmanned Aerial Vehicles using Non-linear Dynamic Inversion." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1519.

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This master's thesis deals with the control design method called Non-linear Dynamic Inversion (NDI) and how it can be applied to Unmanned Aerial Vehicles (UAVs). In this thesis, simulations are conducted using a model for the unmanned aerial vehicle SHARC (Swedish Highly Advanced Research Configuration), which Saab AB is developing.

The idea with NDI is to cancel the non-linear dynamics and then the system can be controlled as a linear system. This design method needs much information about the system, or the output will not be as desired. Since it is impossible to know the exact mathematical model of a system, some kind of robust control theory is needed. In this thesis integral action is used.

A problem with NDI is that the mathematical model of a system is often very complex, which means that the controller also will be complex. Therefore, a controller that uses pure NDI is only discussed, and the simulations are instead based on approximations that use a cascaded NDI. Two such methods are investigated. One that uses much information from aerodata tables, and one that uses the derivatives of some measured outputs. Both methods generate satisfying results. The outputs from the second method are more oscillatory but the method is found to be more robust. If the signals are noisy, indications are that method one will be better.

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De, Hart Ruan Dirk. "Advanced take-off and flight control algorithms for fixed wing unmanned aerial vehicles." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4179.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2010.
ENGLISH ABSTRACT: This thesis presents the development and implementation of a position based kinematic guidance system, the derivation and testing of a Dynamic Pursuit Navigation algorithm and a thorough analysis of an aircraft’s runway interactions, which is used to implement automated take-off of a fixed wing UAV. The analysis of the runway is focussed on the aircraft’s lateral modes. Undercarriage and aerodynamic effects are first analysed individually, after which the combined system is analysed. The various types of feedback control are investigated and the best solution suggested. Supporting controllers are designed and combined to successfully implement autonomous take-off, with acceleration based guidance. A computationally efficient position based kinematic guidance architecture is designed and implemented that allows a large percentage of the flight envelope to be utilised. An airspeed controller that allows for aggressive flight is designed and implemented by applying Feedback Linearisation techniques. A Dynamic Pursuit Navigation algorithm is derived that allows following of a moving ground based object at a constant distance (radius). This algorithm is implemented and verified through non-linear simulation.
AFRIKAANSE OPSOMMING: Hierdie tesis handel oor die ontwikkeling en toepassing van posisie-afhanklike, kinematiese leidings-algoritmes, die ontwikkeling van ’n Dinamiese Volgings-navigasie-algoritme en ’n deeglike analise van die interaksie van ’n lugraam met ’n aanloopbaan sodat outonome opstygprosedure van ’n vastevlerk vliegtuig bewerkstellig kan word. Die bogenoemde analise het gefokus op die laterale modus van ’n vastevlerk vliegtuig en is tweeledig behartig. Die eerste gedeelte het gefokus op die analise van die onderstel, terwyl die lugraam en die aerodinamiese effekte in die tweede gedeelte ondersoek is. Verskillende tipes terugvoerbeheer vir die outonome opstygprosedure is ondersoek om die mees geskikte tegniek te bepaal. Addisionele beheerders, wat deur die versnellingsbeheer gebaseerde opstygprosedure benodig word, is ontwerp. ’n Posisie gebaseerde kinematiese leidingsbeheerstruktuur om ’n groot persentasie van die vlugvermoë te benut, is ontwikkel. Terugvoer linearisering is toegepas om ’n lugspoedbeheerder , wat in staat is tot aggressiewe vlug, te ontwerp. ’n Dinamiese Volgingsnavigasie-algoritme wat in staat is om ’n bewegende grondvoorwerp te volg, is ontwikkel. Hierdie algoritme is geïmplementeer en bevestig deur nie-lineêre simulasie.
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Kang, Keeryun. "Online optimal obstacle avoidance for rotary-wing autonomous unmanned aerial vehicles." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44820.

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This thesis presents an integrated framework for online obstacle avoidance of rotary-wing unmanned aerial vehicles (UAVs), which can provide UAVs an obstacle field navigation capability in a partially or completely unknown obstacle-rich environment. The framework is composed of a LIDAR interface, a local obstacle grid generation, a receding horizon (RH) trajectory optimizer, a global shortest path search algorithm, and a climb rate limit detection logic. The key feature of the framework is the use of an optimization-based trajectory generation in which the obstacle avoidance problem is formulated as a nonlinear trajectory optimization problem with state and input constraints over the finite range of the sensor. This local trajectory optimization is combined with a global path search algorithm which provides a useful initial guess to the nonlinear optimization solver. Optimization is the natural process of finding the best trajectory that is dynamically feasible, safe within the vehicle's flight envelope, and collision-free at the same time. The optimal trajectory is continuously updated in real time by the numerical optimization solver, Nonlinear Trajectory Generation (NTG), which is a direct solver based on the spline approximation of trajectory for dynamically flat systems. In fact, the overall approach of this thesis to finding the optimal trajectory is similar to the model predictive control (MPC) or the receding horizon control (RHC), except that this thesis followed a two-layer design; thus, the optimal solution works as a guidance command to be followed by the controller of the vehicle. The framework is implemented in a real-time simulation environment, the Georgia Tech UAV Simulation Tool (GUST), and integrated in the onboard software of the rotary-wing UAV test-bed at Georgia Tech. Initially, the 2D vertical avoidance capability of real obstacles was tested in flight. Then the flight test evaluations were extended to the benchmark tests for 3D avoidance capability over the virtual obstacles, and finally it was demonstrated on real obstacles located at the McKenna MOUT site in Fort Benning, Georgia. Simulations and flight test evaluations demonstrate the feasibility of the developed framework for UAV applications involving low-altitude flight in an urban area.
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Grymin, David J. "Development of a novel method for autonomous navigation and landing of unmanned aerial vehicles /." Online version of thesis, 2009. http://hdl.handle.net/1850/10615.

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Kriel, Steven Cornelius. "A comparison of control systems for the flight transition of VTOL unmanned aerial vehicles." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/1334.

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Ward, Garrett. "Design of a Small Form-Factor Flight Control System." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3448.

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This work outlines a design for a small form-factor flight control system designed to fly in a wide variety of airframes. The system was designed with future expansion in mind while providing a complete, all-in-one solution to meet present needs. This system as presented meets most needs while remaining relatively low cost. It has a completely integrated IMU solution as well as on- board GPS. It is capable of basic waypoint navigation. This solution was testing using software and hardware-in-the-loop simulation which proved its functionality.
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Books on the topic "Unmanned Aerial Vehicles Flight Control"

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Guidance of unmanned aerial vehicles. Boca Raton: Taylor & Francis, 2011.

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White, Brian, 1947 June 6- and Shanmugavel Madhavan, eds. Cooperative path planning of unmanned aerial vehicles. Chichester, West Sussex, U.K: Wiley, 2011.

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Ducard, Guillaume J. J. Fault-tolerant flight control and guidance systems: Practical methods for small unmanned aerial vehicles. London: Springer, 2009.

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Ducard, Guillaume J. J. Fault-tolerant flight control and guidance systems: Practical methods for small unmanned aerial vehicles. London: Springer, 2009.

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White, Brian, 1947 June 6-, Shanmugavel Madhavan, and Zhu Xiaoping 1963 September-, eds. Wu ren ji xie tong lu jing gui hua: Cooperative path planning of unmanned aerial vehicles. Beijing: Guo fang gong ye chu ban she, 2013.

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1954-, Lozano R., ed. Unmanned aerial vehicles: Embedded control. London: ISTE, 2010.

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Lozano, R. Unmanned aerial vehicles: Embedded control. London: ISTE, 2010.

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Vepa, Ranjan. Nonlinear Control of Robots and Unmanned Aerial Vehicles. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor &: CRC Press, 2016. http://dx.doi.org/10.1201/9781315367378.

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K, Valavanis, Oh Paul Y, and Piegl Les A, eds. Unmanned aircraft systems: International Symposium on Unmanned Aerial Vehicles, UAV'08. Dordrecht: Springer, 2008.

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Unmanned aerial vehicles (UAVs): Past, present, and future. New Delhi: Lancer's Books, 2013.

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Book chapters on the topic "Unmanned Aerial Vehicles Flight Control"

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Ng, Tian Seng. "Unmanned Aerial Vehicle System." In Flight Systems and Control, 109–18. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8721-9_6.

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How, Jonathan P., Emilio Frazzoli, and Girish Vinayak Chowdhary. "Linear Flight Control Techniques for Unmanned Aerial Vehicles." In Handbook of Unmanned Aerial Vehicles, 529–76. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_49.

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Girish, Chowdhary Vinayak, Frazzoli Emilio, How P. Jonathan, and Liu Hugh. "Nonlinear Flight Control Techniques for Unmanned Aerial Vehicles." In Handbook of Unmanned Aerial Vehicles, 577–612. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_87.

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Kannan, Suresh K., Girish Vinayak Chowdhary, and Eric N. Johnson. "Adaptive Control of Unmanned Aerial Vehicles: Theory and Flight Tests." In Handbook of Unmanned Aerial Vehicles, 613–73. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_61.

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Gosiewski, Zdzisław, and Leszek Ambroziak. "Formation Flight Control Scheme for Unmanned Aerial Vehicles." In Robot Motion and Control 2011, 331–40. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2343-9_28.

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Vepa, Ranjan. "Dynamics and Control of Drones and Unmanned Aerial Vehicles." In Flight Dynamics, Simulation, and Control, 551–609. 2nd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003266310-11.

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Pandey, Alok Kumar, Anshuman Shukla, Ashutosh Gupta, and Manjeet Singh Gangwar. "Linear Flight Control of Unmanned Aerial Vehicle." In Advances in Intelligent Systems and Computing, 393–400. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5903-2_40.

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Pourtakdoust, Seid H., and Jalal Karimi. "Constrained Motion Planning and Trajectory Optimization for Unmanned Aerial Vehicles." In Advanced UAV Aerodynamics, Flight Stability and Control, 577–611. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118928691.ch17.

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Liu, Hao, Deyuan Liu, Yan Wan, Frank L. Lewis, and Kimon P. Valavanis. "Robust Time-Varying Formation Control for Tail-Sitters in Flight Mode Transitions." In Robust Formation Control for Multiple Unmanned Aerial Vehicles, 77–97. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003242147-5.

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Liu, Hao, Deyuan Liu, Yan Wan, Frank L. Lewis, and Kimon P. Valavanis. "Robust Fault-Tolerant Formation Control for Tail-Sitters in Aggressive Flight Mode Transitions." In Robust Formation Control for Multiple Unmanned Aerial Vehicles, 99–120. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003242147-6.

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Conference papers on the topic "Unmanned Aerial Vehicles Flight Control"

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Prats, Xavier, Enric Pastor, Pablo Royo, and Juan Lopez. "Flight Dispatching for Unmanned Aerial Vehicles." In AIAA Guidance, Navigation and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-6636.

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Yang, Aolei, Wasif Naeem, George W. Irwin, and Kang Li. "A decentralised control strategy for formation flight of unmanned aerial vehicles." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334654.

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Chen, Gao, Zhen Ziyang, Gong Huajun, and Sun Yili. "Constraints for unmanned aerial vehicles formation flight path." In 2014 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC). IEEE, 2014. http://dx.doi.org/10.1109/cgncc.2014.7007359.

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Mingfeng Zhang and Hugh H. T. Liu. "Formation flight of multiple fixed-wing unmanned aerial vehicles." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580066.

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Gao, Li, Wenhai Wu, and Siyu Zhou. "Adaptive Flight Control Design for the Unmanned Aerial Vehicles." In 2011 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2011. http://dx.doi.org/10.1109/icicta.2011.97.

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Zhang, Haijie, and Jianguo Zhao. "Vision Based Surface Slope Estimation for Unmanned Aerial Vehicle Perching." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9210.

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Abstract:
Unmanned aerial vehicles are applied to many different fields such as surveillance, search, and monitoring. However, a critical issue for unmanned aerial vehicles is that they suffer from short flight time. To address this, perching becomes a new necessary capability for unmanned aerial vehicles. However, before perching on the desired surface, usually the orientation of the UAV needs to be adjusted to make the perching mechanism to firmly attach to the surface. In this paper, a vision algorithm is introduced to estimate the surface slope of the perching object. Equipped with a distance sensor and a monocular camera, the surface slopes in both X and Y directions can be estimated simultaneously. A bunch of experiments with different slope combinations are carried out. Combined with a Kalman Filter, the experiment results show this algorithm is much better compared with the previous algorithms especially when the main movement of the unmanned aerial vehicle is along the camera optical axis.
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Dong, Xiangxu, Guowei Cai, Feng Lin, Ben M. Chen, Hai Lin, and Tong H. Lee. "Implementation of formation flight of multiple unmanned aerial vehicles." In 2010 8th IEEE International Conference on Control and Automation (ICCA). IEEE, 2010. http://dx.doi.org/10.1109/icca.2010.5524123.

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Harada, Masanori, and Kevin Bollino. "Fuel Optimization of Figure-8 Flight for Unmanned Aerial Vehicles." In AIAA Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-6011.

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Subbarao, Kamesh, Carlos Tule, and Pengkai Ru. "Nonlinear Model Predictive Control Applied to Trajectory Tracking for Unmanned Aerial Vehicles." In AIAA Atmospheric Flight Mechanics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-2857.

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Wzorek, Mariusz, Piotr Rudol, Gianpaolo Conte, and Patrick Doherty. "LinkBoard: Advanced flight control system for micro unmanned aerial vehicles." In 2017 2nd International Conference on Control and Robotics Engineering (ICCRE). IEEE, 2017. http://dx.doi.org/10.1109/iccre.2017.7935051.

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Reports on the topic "Unmanned Aerial Vehicles Flight Control"

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Dahleh, M. A., and J. Tsitsiklis. Hierarchical Nonlinear Control for Unmanned Aerial Vehicles. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada417306.

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Bernstein, Dennis S. Intelligenct Flight Control of Uninhabited Aerial Vehicles. Fort Belvoir, VA: Defense Technical Information Center, May 2000. http://dx.doi.org/10.21236/ada382981.

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Smirnov, Mikhail N., and Maria A. Smirnova. Questions of Stabilization and Control of Unmanned Aerial Vehicles. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, January 2018. http://dx.doi.org/10.7546/crabs.2018.01.12.

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Smirnov, Mikhail N., and Maria A. Smirnova. Questions of Stabilization and Control of Unmanned Aerial Vehicles. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, January 2018. http://dx.doi.org/10.7546/grabs2018.1.12.

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Song, Yong D. Fault-Tolerant and Reconfigurable Control of Unmanned Aerial Vehicles (UAVs). Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada477568.

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Bayraktar, Selcuk, Georgios E. Fainekos, and George J. Pappas. Hybrid Modeling and Experimental Cooperative Control of Multiple Unmanned Aerial Vehicles. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada436407.

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Nelson, Jeremy, Gloria Calhoun, and Mark Draper. A Dynamic Mission Replanning Testbed for Supervisory Control of Multiple Unmanned Aerial Vehicles. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada444586.

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Chung, Soon-Jo. Bio-Inspired Integrated Sensing and Control Flapping Flight for Micro Aerial Vehicles. Fort Belvoir, VA: Defense Technical Information Center, February 2012. http://dx.doi.org/10.21236/ada564148.

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Walters, Brett A., Shawn Huber, Jon French, and Michael J. Barnes. Using Simulation Models to Analyze the Effects of Crew Size and Crew Fatigue on the Control of Tactical Unmanned Aerial Vehicles (TUAVs). Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada405012.

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