15 research outputs found

    Validation of Quad Tail-sitter VTOL UAV Model in Fixed Wing Mode

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    Vertical take-off and landing (VTOL) is a type of unmanned aerial vehicle (UAV) that is growing rapidly because its ability to take off and land anywhere in tight spaces. One type of VTOL UAV, the tail-sitter, has the best efficiency. However, besides the efficiency offered, some challenges must still be overcome, including the complexity of combining the ability to hover like a helicopter and fly horizontally like a fixed-wing aircraft. This research has two contributions: in the form of how the analytical model is generated and the tools used (specifically for the small VTOL quad tail-sitter UAV) and how to utilize off-the-shelf components for UAV empirical modeling. This research focuses on increasing the speed and accuracy of the UAV VTOL control design in fixed-wing mode. The first step is to carry out analysis and simulation. The model is analytically obtained using OpenVSP in longitudinal and lateral modes. The next step is to realize this analytical model for both the aircraft and the controls. The third step is to measure the flight characteristics of the aircraft. Based on the data recorded during flights, an empirical model is made using system identification technique. The final step is to vali-date the analytical model with the empirical model. The results show that the characteristics of the analytical mode fulfill the specified requirements and are close to the empirical model. Thus, it can be concluded that the analytical model can be implemented directly, and consequently, the VTOL UAV design and development process has been shortened

    Flight control of hybrid drones towards enabling parcel relay manoeuvres

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    This work addresses the modeling and controlling process of a hybrid UAV, aimed for parcel relay maneuvers. Hybrid UAVs bring big advantages with the capability of flying in two flight modes, rotary and fixed wing. But with them comes added complexity both in modeling and controlling. This work is based on a popular airframe, a tilt tri-rotor UAV, containing all the specific system dynamics such vehicle category provides. The model is then validated by designing two separate controllers for both flight modes, capable of trajectory tracking in eachmode,makinguseofacustomhybridcontrolallocationtechniquethatdifferentiates the control in three parts: vertical, horizontal, and transitional flight modes. Finally, a hybrid controller is proposed, using a finite state machine capable of handling logical events, with the aim to provide control logic to perform autonomous mid flight transitions. All the designs system are simulated using a mathematical framework and a power-full simulation tool.Este trabalho aborda o processo de modelação e controlo de um veículo aéreo não tripulado híbrido com o objetivo de proporcionar manobras de transição de carga. Drones híbridos trazem grandes vantagem com a sua capacidade de voar em dois modos de voo, de asa rotativa e asa fixa. Por outro lado, estas vantagens adicionam complexidade ao sistema dificultando o processo de modulação e controlo. Nestetrabalhoestápresenteummodelodeumdronetrirotortendodoisrotoresmovíveis. Este contém todas as dinâmicas especificas que um sistema deesta categoria de UAV obriga. O modelo é posteriormente validado com dois controladores separados em modo de voo, capazes de proporcionar medidas de seguimento de trajetória em cada modo, usando uma técnica de alocação de controlo personalizada que diferencia o controlo em três partes: vertical, horizontal e de transição. Por fim, é proposto um controlador híbrido contento uma máquina de estados capaz de tratar de eventos lógicos, de modo a proporcionar transições de modo de voo autónomas em pleno voo. Todos os sistemas propostos são devidamente simulados usando ferramentas matemáticas e também poderosos sistemas de simulação

    Unmanned Aerial Vehicles Modelling and Control Design. A Multi-Objective Optimization Approach

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    [ES] Aquesta tesi presenta els resultats de la feina de recerca dut a terme sobre el modelatge i el disseny de controladors per a micro-aeronaus no tripulades mitjançant tècniques d'optimització multi-objectiu. Dos principals camps d'estudi estan presents al llarg d'ella. D'una banda, l'estudi de com modelar i controlar plataformes aèries de petita envergadura. I, de l'altra, l'estudi sobre l'ús de tècniques heurístiques d'optimització multi-objectiu per aplicar en el procés de parametrització de models i controladors en micro-aeronaus no tripulades. S'obtenen com a resultat principal una sèrie d'eines que permeten prescindir d'experiments en túnels de vent o de sensòrica d'alt cost, passant directament a la utilització de dades de vol experimental a la identificació paramètrica de models dinàmics. A més, es demostra com la utilització d'eines d'optimització multi-objectiu en diferents fases de desenvolupament de controladors ajuda a augmentar el coneixement sobre la plataforma a controlar i augmenta la fiabilitat i robustesa dels controladors desenvolupats, disminuint el risc de passar de les fases prèvies de el disseny a la validació en vol real.[CA] Esta tesis presenta los resultados del trabajo de investigación llevado a cabo sobre el modelado y el diseño de controladores para micro-aeronaves no tripuladas mediante técnicas de optimización multi-objetivo. Dos principales campos de estudio están presentes a lo largo de ella. Por un lado, el estudio de cómo modelar y controlar plataformas aéreas de pequeña envergadura. Y, por otro, el estudio sobre el empleo de técnicas heurísticas de optimización multi-objetivo para aplicar en el proceso de parametrización de modelos y controladores en micro-aeronaves no tripuladas. Se obtienen como resultado principal una serie de herramientas que permiten prescindir de experimentos en túneles de viento o de sensórica de alto coste, pasando directamente a la utilización de datos de vuelo experimental en la identificación paramétrica de modelos dinámicos. Además, se demuestra como la utilización de herramientas de optimización multi-objetivo en diferentes fases del desarrollo de controladores ayuda a aumentar el conocimiento sobre la plataforma a controlar y aumenta la fiabilidad y robustez de los controladores desarrollados, disminuyendo el riesgo de pasar de las fases previas del diseño a la validación en vuelo real.[EN] This thesis presents the results of the research work carried out on the modelling and design of controllers for micro-unmanned aerial vehicles by means of multi-objective optimization techniques. Two main fields of study are present throughout it. On one hand, the study of how to model and control small aerial platforms. And, on the other, the study on the use of heuristic multi-objective optimization techniques to apply in the process of models and controllers parameterization in micro-unmanned aerial vehicles. The main result is a series of tools that make it possible manage without wind tunnel experiments or high-cost air-data sensors, going directly to the use of experimental flight data in the parametric identification of dynamic models. In addition, a demonstration is given on how the use of multi-objective optimization tools in different phases of controller development helps to increase knowledge about the platform to be controlled and increases the reliability and robustness of the controllers developed, reducing the risk of hoping from the initial design phases to validation in real flight.Velasco Carrau, J. (2020). Unmanned Aerial Vehicles Modelling and Control Design. A Multi-Objective Optimization Approach [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/156034TESI

    UAV Model-based Flight Control with Artificial Neural Networks: A Survey

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    Model-Based Control (MBC) techniques have dominated flight controller designs for Unmanned Aerial Vehicles (UAVs). Despite their success, MBC-based designs rely heavily on the accuracy of the mathematical model of the real plant and they suffer from the explosion of complexity problem. These two challenges may be mitigated by Artificial Neural Networks (ANNs) that have been widely studied due to their unique features and advantages in system identification and controller design. Viewed from this perspective, this survey provides a comprehensive literature review on combined MBC-ANN techniques that are suitable for UAV flight control, i.e., low-level control. The objective is to pave the way and establish a foundation for efficient controller designs with performance guarantees. A reference template is used throughout the survey as a common basis for comparative studies to fairly determine capabilities and limitations of existing research. The end-result offers supported information for advantages, disadvantages and applicability of a family of relevant controllers to UAV prototypes

    Intelligent control of a ducted fan VTOL UAV with conventional control surfaces

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    Utilizing UAVs for intelligence, surveillance, and reconnaissance (ISR) is beneficial in both military and civil applications. The best candidates for successful close range ISR missions are small VTOL UAVs with high speed capability. Existing UAVs suffer from the design tradeoffs that are usually required, in order to have both VTOL capability and high speed flight performance. In this thesis, we consider a novel UAV design configuration combining several important design elements from rotorcraft, ducted-fan, tail-sitter, and fixed-wing vehicles. While the UAV configuration is more towards the VTOL type, high speed flight is achieved by performing a transition maneuver from vertical attitude to horizontal attitude. In this unique approach, the crucial characteristics of VTOL and high speed flight are attained in a single UAV design. The capabilities of this vehicle come with challenges of which one of the major ones is the development an effective autonomous controller for the full flight envelope. Ducted-fan type UAVs are unstable platform with highly nonlinear behaviour, and with complex aerodynamic, which lead to inaccuracies in the estimation of the vehicle dynamics. Conventional control approaches have limitations in dealing with all these issues. A promising solution to a ducted-fan flight control problem is to use fuzzy logic control. Unlike conventional control approaches, fuzzy logic has the ability of replicating some of the ways of how humans make decisions. Furthermore, it can handle nonlinear models and it can be developed in a relatively short time, as it does not require the complex mathematics associated with classical control theory. In this study, we explore, develop, and implement an intelligent autonomous fuzzy logic controller for a given ducted-fan UAV through a series of simulations

    Nonlinear and Geometric Controllers for Rigid Body Vehicles

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    In this thesis we investigate the motion control problem for a class of vehicles C V , which includes satellites, quadrotors, underwater vehicles, and tailsitters. Given a globally represented model of C V , and a curve, the motion control problem entails following the curve using control inputs. In this thesis the motion control problem is viewed under two settings, 1) as a local path following problem, 2) as a geometric trajectory tracking problem. We provide solutions to both problems by designing controllers based on the concept of feedback linearization. In the local path following problem, the C V class of vehicles is represented by a local chart. The problem is solved in a monolithic control setting, and the path that needs to be followed is treated as a set to be stabilized. The nonlinear model under study is first dynamically extended and then converted into a fully linear form through a coordinate transformation and smooth feed- back. This approach achieves path invariance. We also design a fault tolerant local controller that ensure path following and path invariance in the presence of a one rotor failure for a quadrotor. The second major problem addressed is the geometric trajectory tracking problem, which is treated in an inner-outer loop setting. Specifically, we design a controller class for the attitude dy- namics of the C V class of vehicles. The novel notion of Lie algebra valued functions are defined on the Special Orthogonal group SO(3), which constitutes a family of functions. This family of functions induces a novel geometric controller class, which consists of almost globally stable and locally stable controllers. This class is designed using the idea of feedback linearization, and is proven to be asymptotically stable through a Lyapunov-like argument. This allows the system to perform multiple flips. We also design geometric controllers for the position loop, which are demonstrated to work with the attitude controller class through simulations with noisy sensor data

    Proceedings of the International Micro Air Vehicles Conference and Flight Competition 2017 (IMAV 2017)

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    The IMAV 2017 conference has been held at ISAE-SUPAERO, Toulouse, France from Sept. 18 to Sept. 21, 2017. More than 250 participants coming from 30 different countries worldwide have presented their latest research activities in the field of drones. 38 papers have been presented during the conference including various topics such as Aerodynamics, Aeroacoustics, Propulsion, Autopilots, Sensors, Communication systems, Mission planning techniques, Artificial Intelligence, Human-machine cooperation as applied to drones

    Intelligent Control Agent for Autonomous UAS

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    A self reconfiguring autopilot system is presented, which is based on a rational agent framework that integrates decision making with abstractions of sensing and actions for next generation unmanned aerial vehicles. The objective of the new intelligent control system is to provide advanced capabilities of self-tuning control for a new UAS airframe or adaptation for an old UAS in the presence of failures in adverse flight conditions. High-level system performance is achieved through on-board dynamical monitoring and estimation associated with controller switching and tuning by the agent. The agent can handle an untuned autopilot or retune the autopilot when dynamical changes occur due to aerodynamic and on-board system changes. The system integrates dynamical modelling, hybrid adaptive control, model validation, flight condition diagnosis, control performance evaluation through software agent development. An important feature of the agent is its abstractions from real-time measurements and also its abstractions from model based on-board simulation. The agent, while tuning and supervising the autopilot, also performs real-time evaluations on the effects of its actions

    무익기형 전기 추진 수직 이착륙기에 대한 다학제 해석 및 시뮬레이션 프레임워크

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    학위논문(박사) -- 서울대학교대학원 : 공과대학 항공우주공학과, 2023. 2. 이관중.A wingless-type electric vertical take-off and landing (eVTOL) is one of the representative aircrafts utilized logistics and delivery, search and rescue, military, agriculture, and inspection of structures. For a small unmanned aerial vehicles of the wingless-type eVTOL, a quadrotor is a representative configuration to operate those missions. For a large size of the wingless-type eVTOL, it is an aircraft for urban air mobility service (UAM) specialized for intracity point-to-point due to its advantages such as efficient hover performance, high gust resistance, and relatively low noisiness. The rotating speed of the multiple rotors in the wingless-type eVTOL has to be changed continuously to achieve stable flight. Moreover, the speed and the loaded torque of the motors also continuously change. Therefore, it is necessary to analyze the rotor thrust and torque with respect to the speed of each rotor as assigned by the controller to predict the flight performance of the wingless-type eVTOL. The electric power required by the motors is also necessary to be predicted based on the torque loaded to the motors to maintain the rotating speed. This study suggests a flight simulation framework based on these multidisciplinary analyses including control, rotor aerodynamics, and electric propulsion system analysis. Using the flight simulation framework, it is possible to predict the flight performance of the wingless-type eVTOL for given operating conditions. The flight simulation framework can predict the overall performance required to resist the winds and the corresponding battery energy of a quadrotor. Flight endurance of an industrial quadrotor was examined under light, moderate, and strong breeze modeled by von Kármán wind turbulence with Beaufort wind force scale. As a result, it is found that the excess battery energy is increased with ground speed, even under the same wind conditions. As the ground speed increases, the airspeed is increased, led to higher frame drag, position error, pitch angle, and required mechanical power, consequently. Moreover, the quadrotor is not operable beyond a certain wind and ground speed since the required rotational speed of rotors exceeds the speed limit of motors. The simulation framework can also predict the overall performance of a wingless eVTOL for UAM service. Because of its multiple rotors, rotor–rotor interference inevitably affects flight performance, mainly depending on inter-rotor distance and rotor rotation directions. In this case, there is an optimal rotation direction of the multiple rotors to be favorable in actual operation. In this study, it was proposed that a concept of rotor rotation direction that achieves the desirable flight performance in actual operation. The concept is called FRRA (Front rotors Retreating side and Rear rotors Advancing side). It was found that FRRA minimizes thrust loss due to rotor-rotor interference in high-speed forward flight. For a generic mission profile of UAM service, the rotation direction set by FRRA reduces the battery energy consumption of 7 % in comparison to the rotation direction of unfavorable rotor-rotor interference in operation.무익기형 전기 추진 수직 이착륙기는 택배 및 운송 서비스, 수색 및 구조, 국방, 농업, 구조물 점검과 같은 분야에서 대표적으로 이용되고 있는 항공기이다. 쿼드로터는 이러한 임무를 수행하기 위한 대표적인 소형 무익기형 전기 추진 수직 이착륙기이다. 대형 무익기형 전기 추진 수직 이착륙기는 효율적인 제자리 비행 성능, 높은 내풍성, 낮은 소음 공해와 같은 특징으로 인해 도심 내 운항 서비스를 위한 항공기로 활용되고 있다. 무익기형 전기 추진 수직 이착륙기의 여러 회전 날개는 안정된 비행을 유지하기 위해, 지속해서 회전 속도를 변화시킨다. 게다가, 모터의 회전 속도와 부하되는 토크 또한 지속적으로 변화한다. 그러므로 무익기형 전기 추진 수직 이착륙기의 비행 성능을 예측하기 위해, 제어기에서 각 회전 날개에 부여된 회전 속도에 따른 추력 및 토크를 해석해야 한다. 그리고 이러한 회전 날개의 회전 속도를 유지하기 위해 모터에 부하 되는 토크를 기반으로, 모터에서 요구되는 전력을 예측해야 한다. 본 논문에서는 제어, 회전 날개 공력, 전기 추진 시스템 해석이 포함된 다학제 해석 기반의 비행 시뮬레이션 프레임워크를 제시한다. 비행 시뮬레이션 프레임워크를 이용하여, 실제 운용 환경에서의 무익기형 전기 추진 수직 이착륙기 비행 성능을 예측할 수 있다. 비행 시뮬레이션 프레임워크를 활용하여 쿼드로터에 대해 외풍을 저항하기 위한 비행 전반적인 성능과 그에 따른 배터리 에너지 소모를 예측하였다. Von Kármán 외풍 난류와 Beaufort 외풍 강도 등급을 활용하여 남실바람, 건들바람, 된바람 환경에 대한 산업용 쿼드로터의 비행시간을 조사하였다. 그 결과, 동일한 외풍 환경일지라도 전진 비행 속도가 증가할수록 배터리 소요 에너지가 증가한다는 것을 밝혔다. 전진 비행 속도의 증가로 인해 쿼드로터에 유입되는 유속이 증가하여, 동체 항력, 위치 오차, 기수 내림 각도, 요구 기계 동력이 증가하였다. 그리고 특정 외풍 속도와 전진 속도 이상에서의 쿼드로터는 요구되는 회전 날개의 회전 속도가 모터의 회전 속도의 한계보다 높으므로 비행할 수 없었다. 또한, 비행 시뮬레이션 프레임워크를 활용하여 도심 운항 서비스용 무익기형 전기 추진 수직 이착륙기의 전반적인 비행 성능을 예측하였다. 여러 회전 날개의 특징으로 인해, 회전 날개 간 거리와 회전 날개의 회전 방향에 따라 회전 날개 간 간섭효과가 필연적으로 비행 성능에 영향을 미친다. 이때, 운용에 유리한 최적의 회전 날개 회전 방향이 존재한다. 본 논문에서 실제 운용에서 바람직한 비행 성능을 발휘하는 회전 날개의 회전 방향에 대한 개념인 FRRA를 제시하였다. FRRA는 전방 로터의 후퇴 측과 후방 로터의 전진 측이 일직선으로 정렬된 상태의 회전 방향이다. FRRA 회전 방향은 고속 전진 비행에서 회전 날개 간 간섭효과로 인한 추력 손실이 최소화된다. 회전 날개 간 간섭효과로 인해 불리한 비행 성능을 가지는 회전 방향 대비 FRRA 회전 방향은 도심 항공 교통 서비스에 대한 일반적인 운용에서 배터리 소모율이 7% 정도 감소하였다.Chapter 1. Introduction 1 1.1 Overview of wingless-type eVTOL 1 1.2 Previous studies about wingless-type eVTOL 6 1.2.1 Multidisciplinary analysis of control, aerodynamic, and EPS 6 1.2.2 External wind of wingless-type eVTOLs for small UAVs 9 1.2.3 Rotor-rotor interference of wingless-type eVTOLs for UAM 10 1.3 Motivation and scope of the dissertation 12 Chapter 2. Simulation Framework 16 2.1 Layout and analysis modules in simulation framework 16 2.1.1 Cascade PID control module 19 2.1.1 Aerodynamic analysis module 24 2.1.2 Electric propulsion system analysis module 30 2.1.3 6-DOF dynamics analysis module 33 2.2 Add-on modules for actual operation 37 2.2.1 Wind turbulence module 37 2.2.2 Rotor-rotor interference module 39 Chapter 3. Validation of Simulation Framework 44 3.1 Static thrust and torque on a single rotor test 44 3.2 Wind resistance test 46 3.3 Rotor-rotor interference of tandem rotors 52 3.4 Rotor-rotor interaction of a quadrotor in CFD 54 3.5 Investigation of rotor-rotor interference with respect to rotation directions in a quadrotor 58 Chapter 4. Flight Performance of Quadrotor under Wind Turbulence 65 4.1 Flight conditions 65 4.2 Wind turbulence conditions 66 4.3 Simulation results 69 Chapter 5. Flight Performance of Wingless-type eVTOL for UAM Service with Respect to the Rotor Rotation Directions 78 5.1 Hypothetical model of a wingless-type eVTOL for UAM service 78 5.2 Rotor rotation directions and aerodynamic performance 83 5.2.1 Hover flight 86 5.2.2 Forward flight at 100 km/h 88 5.2.3 Forward flight in the airspeed of 100 km/h with 30 yaw angle 93 5.3 Surrogate models including the rotor-rotor interaction effect 96 5.4 Simulation results 99 Chapter 6. Conclusion 112 6.1 Summary 112 6.2 Originalities of the dissertation 113 6.3 Future works 116 Appendix 118 References 127 국문 초록 144박
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