Envelope-Aware Flight Management for Loss of Control Prevention Given Rudder Jam

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/143011/1/1.G000252.pd

Mission and Scenario Planning for Unmanned Aerial Vehicles (Path Planning and Collision Avoidance Systems)

As unmanned autonomous vehicles (UAVs) are being widely utilized in military and civil applications, concerns are growing about mission safety and how to integrate dierent phases of mission design. One important barrier to a coste ective and timely safety certication process for UAVs is the lack of a systematic approach for bridging the gap between understanding high-level commander/pilot intent and implementation of intent through low-level UAV behaviors. In this thesis we demonstrate an entire systems design process for a representative UAV mission, beginning from an operational concept and requirements and ending with a simulation framework for segments of the mission design, such as path planning and decision making in collision avoidance. In this thesis, we divided this complex system into sub-systems; path planning, collision detection and collision avoidance. We then developed software modules for each sub-syste

Flight maneuver automation for system analysis of small fixed-wing UAVs

The application of Unmanned Aerial Vehicles (UAVs) has become increasingly versatile, creating new opportunities in the diverse fields of technology and business. However, this increase in variety also results in progressively challenging and complex flight maneuver sequences for UAVs to perform. In order to simplify such a process, this work presents a software framework that automates and streamlines the sequential executions of independent flight maneuvers. The flight maneuver automation framework consists of several software modules, ranging from maneuver planning, condition managing, and flight analysis, to graphical user interface (GUI) and user configurations. Traditional global planning in an aircraft autopilot framework provides simple, position-based trajectory planning. A typical unmanned mission consists of position trajectories generated from several way-points. When executed, the position-based definition of the pre-generated paths limits the capabilities of the UAVs. Thus, this work describes an automated flight maneuver planning which provides a robust, condition-based framework that augments the conventional mission planning. Instead of generating fixed paths from position way-points, the automated framework creates autonomous maneuvers in terms of any states of the aircraft, such as position, velocity, attitude, and so on, and sequentially transitions to the next maneuver based on the states of the aircraft. The flight maneuver automation framework is implemented in the modular uavAP autopilot deployed on a fixed-wing UAV test-bed and validated using the real-time uavEE emulation environment. Finally, this work describes the application of the flight maneuver framework for automating flight testing processes and streamlining system identification and analysis for small UAVs. In addition, the framework also provides a platform for the implementation and the validation for a robust kinematic model and an advanced geofencing algorithm for fixed-wing aircraft that tackle the primary concern of keeping the UAVs inside a designated geofencing region.work supported by the National Science Foundation (NSF) under grant number CNS-1646383Ope

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

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

Seal-fisheries in Alaska. Letter from the Secretary of the Treasury, transmitting, in response to resolution of the House of Representatives, information relating to the seal-fisheries in Alaska

44-1Ways and MeansLetter on Alaska. [1687] Seal-fisheries; Indians of Alaska; trade with Russians, Americans, and the British Hudson's Bay Company.1876-1

Seal-fisheries in Alaska. Letter from the Secretary of the Treasury, transmitting, in response to resolution of the House of Representatives, information relating to the seal-fisheries in Alaska

Letter on Alaska. [1687] Seal-fisheries; Indians of Alaska; trade with Russians, Americans, and the British Hudson\u27s Bay Company

Advanced Mobile Robotics: Volume 3

Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective

Underwater Vehicles

For the latest twenty to thirty years, a significant number of AUVs has been created for the solving of wide spectrum of scientific and applied tasks of ocean development and research. For the short time period the AUVs have shown the efficiency at performance of complex search and inspection works and opened a number of new important applications. Initially the information about AUVs had mainly review-advertising character but now more attention is paid to practical achievements, problems and systems technologies. AUVs are losing their prototype status and have become a fully operational, reliable and effective tool and modern multi-purpose AUVs represent the new class of underwater robotic objects with inherent tasks and practical applications, particular features of technology, systems structure and functional properties