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Author: Geoffrey Christien Bower Publisher: ISBN: Category : Languages : en Pages :
Book Description
Dynamic soaring is a flight technique used by albatrosses and other large seabirds to extract energy from wind gradients in the atmospheric boundary layer over the ocean. This technique enables them to fly for extended periods without flapping their wings, in some documented cases circumnavigating the globe. This work examines the application of dynamic soaring to propulsion of small unmanned aerial vehicles (UAVs). First, the equations of motion were derived and the energy transfer mechanisms were explained for a vehicle flying in a spatially and temporally varying wind field. Next, a robust and efficient dynamic soaring trajectory optimization method that forms the foundation for the remainder of the research was outlined. This method was used to solve for optimal periodic trajectories through a number of different wind fields. It was also used to investigate UAV designs that have the ability to extract electrical energy from their environment and store it on-board, allowing operations during lulls in the wind. Vehicle speed polars were generated that show the maximum cross-country speed achievable as the a function of the wind speed and the cross-country flight direction. The method of isochrones was applied to the long-range routing of dynamic soaring vehicles across the ocean by combining vehicle speed polars with satellite based ocean wind measurements. As part of this work, a small UAV, dubbed Mariner, was designed to demonstrate autonomous boundary layer dynamic soaring over water. The objective of the UAV design problem was to minimize the required reference wind speed. Constraints were imposed on vehicle size and weight, and careful attention was paid to stability and control requirements imposed by the optimal trajectories. Sensors and sub-systems were specified to allow for accurate state estimation in close proximity to the water surface. Experimentally, a small off-the-shelf airframe was flown to aid development of Mariner's flight control hardware and software. An extended Kalman filter (EKF) was implemented for vehicle state and wind estimation and tuned through flight testing. In addition, a novel GPS tracking tag was designed and tested to improve our understanding of albatross dynamic soaring.
Author: Geoffrey Christien Bower Publisher: ISBN: Category : Languages : en Pages :
Book Description
Dynamic soaring is a flight technique used by albatrosses and other large seabirds to extract energy from wind gradients in the atmospheric boundary layer over the ocean. This technique enables them to fly for extended periods without flapping their wings, in some documented cases circumnavigating the globe. This work examines the application of dynamic soaring to propulsion of small unmanned aerial vehicles (UAVs). First, the equations of motion were derived and the energy transfer mechanisms were explained for a vehicle flying in a spatially and temporally varying wind field. Next, a robust and efficient dynamic soaring trajectory optimization method that forms the foundation for the remainder of the research was outlined. This method was used to solve for optimal periodic trajectories through a number of different wind fields. It was also used to investigate UAV designs that have the ability to extract electrical energy from their environment and store it on-board, allowing operations during lulls in the wind. Vehicle speed polars were generated that show the maximum cross-country speed achievable as the a function of the wind speed and the cross-country flight direction. The method of isochrones was applied to the long-range routing of dynamic soaring vehicles across the ocean by combining vehicle speed polars with satellite based ocean wind measurements. As part of this work, a small UAV, dubbed Mariner, was designed to demonstrate autonomous boundary layer dynamic soaring over water. The objective of the UAV design problem was to minimize the required reference wind speed. Constraints were imposed on vehicle size and weight, and careful attention was paid to stability and control requirements imposed by the optimal trajectories. Sensors and sub-systems were specified to allow for accurate state estimation in close proximity to the water surface. Experimentally, a small off-the-shelf airframe was flown to aid development of Mariner's flight control hardware and software. An extended Kalman filter (EKF) was implemented for vehicle state and wind estimation and tuned through flight testing. In addition, a novel GPS tracking tag was designed and tested to improve our understanding of albatross dynamic soaring.
Author: Zhongliang Jing Publisher: Springer Nature ISBN: 9813360607 Category : Technology & Engineering Languages : en Pages : 597
Book Description
This book presents high-quality contributions in the subject area of Aerospace System Science and Engineering, including topics such as: Trans-space vehicle systems design and integration, Air vehicle systems, Space vehicle systems, Near-space vehicle systems, Opto-electronic system, Aerospace robotics and unmanned system, Aerospace robotics and unmanned system, Communication, navigation, and surveillance, Dynamics and control, Intelligent sensing and information fusion, Aerodynamics and aircraft design, Aerospace propulsion, Avionics system, Air traffic management, Earth observation, Deep space exploration, and Bionic micro-aircraft/spacecraft. The book collects selected papers presented at the 4th International Conference on Aerospace System Science and Engineering (ICASSE 2020), organized by Shanghai Jiao Tong University, China, held on 14–16 July 2020 as virtual event due to COVID-19. It provides a forum for experts in aeronautics and astronautics to share new ideas and findings. ICASSE conferences have been organized annually since 2017 and hosted in Shanghai, Moscow, and Toronto in turn, where the three regional editors of the journal Aerospace Systems are located.
Author: Anibal Ollero Publisher: Springer ISBN: 3319708333 Category : Technology & Engineering Languages : en Pages : 913
Book Description
These volumes of "Advances in Intelligent Systems and Computing" highlight papers presented at the "Third Iberian Robotics Conference (ROBOT 2017)". Held from 22 to 24 November 2017 in Seville, Spain, the conference is a part of a series of conferences co-organized by SEIDROB (Spanish Society for Research and Development in Robotics) and SPR (Portuguese Society for Robotics). The conference is focused on Robotics scientific and technological activities in the Iberian Peninsula, although open to research and delegates from other countries. Thus, it has more than 500 authors from 21 countries. The volumes present scientific advances but also robotic industrial applications, looking to promote new collaborations between industry and academia.
Author: Elmer A. Horton Publisher: ISBN: Category : Airplanes Languages : en Pages : 678
Book Description
An investigation was made to determine the effects of boundary-layer control on the landing performance characteristics of a liaison type of airplane having a payload of 1500 pounds and a flight duration of 5 hours. The aspect ratio was varied from 5 to 15, the wing span from 30 to 100 feet, and the brake horsepower from 300 to 1200. The use of boundary-layer control caused reduction in total landing distance (25 to 40 percent), ground-run distance, gliding speed, and stalling speed whereas sinking speed was increased only slightly.
Author: Zhenda Zi Li Publisher: ISBN: Category : Languages : en Pages :
Book Description
This thesis discusses and verifies a control strategy to achieve autonomous dynamic soaringfor small fixed wing aircraft in numerical simulation. Dynamic soaring is a bio-inspired flighttechnique that allows an aerial vehicle to fly without engine power. With proper flight maneuver,the vehicle is able to convert wind energy to kinetic energy. A numerical simulation for a smallfixed-wing aircraft soaring in a shear wind-field is built first. An autonomous control policy isfound by numerical optimization over control inputs at each time step in the numerical wind shearenvironment. The performance of this control strategy is then assessed based on its sustainabilityand the total energy harvested.
Author: Ella Atkins Publisher: John Wiley & Sons ISBN: 1118866452 Category : Technology & Engineering Languages : en Pages : 740
Book Description
UNMANNED AIRCRAF T SYSTEMS UNMANNED AIRCRAF T SYSTEMS An unmanned aircraft system (UAS), sometimes called a drone, is an aircraft without a human pilot on board ??? instead, the UAS can be controlled by an operator station on the ground or may be autonomous in operation. UAS are capable of addressing a broad range of applications in diverse, complex environments. Traditionally employed in mainly military applications, recent regulatory changes around the world are leading to an explosion of interest and wide-ranging new applications for UAS in civil airspace. Covering the design, development, operation, and mission profiles of unmanned aircraft systems, this single, comprehensive volume forms a complete, stand-alone reference on the topic. The volume integrates with the online Wiley Encyclopedia of Aerospace Engineering, providing many new and updated articles for existing subscribers to that work. The chapters cover the following items: Airframe configurations and design (launch systems, power generation, propulsion) Operations (missions, integration issues, and airspace access) Coordination (multivehicle cooperation and human oversight) With contributions from leading experts, this volume is intended to be a valuable addition, and a useful resource, for aerospace manufacturers and suppliers, governmental and industrial aerospace research establishments, airline and aviation industries, university engineering and science departments, and industry analysts, consultants, and researchers.
Author: Frederica Darema Publisher: Springer Nature ISBN: 3031279867 Category : Computers Languages : en Pages : 937
Book Description
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).
Author: Geoffrey Christien Bower
Author: Geoffrey Christien Bower
Author: Yi Qu
Author: Zhongliang Jing
Author: Anibal Ollero
Author: Brian Robert Greene
Author: Elmer A. Horton
Author: Zhenda Zi Li
Author: Albert L. Braslow
Author: Ella Atkins
Author: Frederica Darema