Adaptive wind estimation for small unmanned aerial systems using motion data

This innovative kite system is called the WindiWing, and utilizes aerodynamic forces and moments to control its configuration for both ascent and descent, eliminating the need for an external power source or human intervention. By harnessing wind power, the system autonomously climbs and descends along a pilot kite line, provided sufficient wind conditions exist. Windiwing includes a set of stops at predetermined upper and lower bounds of the kite line, which define the highest and lowest points the WindiWing can travel. When a stop is hit, the WindiWing changes direction. Therefore, it can sustain extended flight times at different altitudes. Unlike prior solutions, WindiWing is a passive line-climber operating entirely through aero-mechanical principles and does not require electrical power or active control systems for changes in lift. Instead, WindiWing continuously moves between the designated stops along the kite tether, maintaining stable and predictable movement without the need for remote operation or onboard power. WindiWing is designed with flexibility in mind, offering the ability to carry a range of instrumentation, making it suitable for integration with kite-based systems, tethered balloons, or uncrewed aircraft platforms. The absence of electrical components reduces complexity, enhances reliability, and allows for extended atmospheric data collection with minimal oversight. By offering a scalable, cost-effective, and power-independent solution, this technology enables long-duration atmospheric profiling at various altitudes, making it an ideal tool for researchers in the fields of atmospheric research, environmental research, and education.

Increasing demand for smaller UAVs (e.g., sometimes with wingspans on the order of six inches and weighing less than one pound) generated a need for much smaller flight and sensing equipment. NASA Langley's new sensing and flight control system for small UAVs includes both an active flight control board and an avionics sensor board. Together, these compare the status of the UAVs position, heading, and orientation with the pre-programmed data to determine and apply the flight control inputs needed to maintain the desired course. To satisfy the small form-factor system requirements, micro-electro-mechanical systems (MEMS) are used to realize the various flight control sensing devices. MEMS-based devices are commercially available single-chip devices that lend themselves to easy integration onto a circuit board. The system uses less energy than current systems, allowing solar panels planted on the vehicle to generate the systems power. While the lightweight technology was designed for smaller UAVs, the sensors could be distributed throughout larger UAVs, depending on the application.

The MAchine learning ESTimations for uRban Operations (MAESTRO) system is a novel approach that couples commodity sensors with advanced algorithms to provide real-time onboard local wind and kinematics estimations to a vehicle's guidance and navigation system. Sensors and computations are integrated in a novel way to predict local winds and promote safe operations in dynamic urban regions where Global Positioning System/Global Navigation Satellite System (GPS/GNSS) and other network communications may be unavailable or are difficult to obtain when surrounded by tall buildings due to multi-path reflections and signal diffusion. The system can be implemented onboard an Unmanned Aerial Systems (UAS) and once airborne, the system does not require communication with an external data source or the GPS/GNSS. Estimations of the local winds (speed and direction) are created using inputs from onboard sensors that scan the local building environment. This information can then be used by the onboard guidance and navigation system to determine safe and energy-efficient trajectories for operations in urban and suburban settings. The technology is robust to dynamic environments, input noise, missing data, and other uncertainties, and has been demonstrated successfully in lab experiments and computer simulations.

This UAS technology defines a part-time VTOL system that transitions to efficient fixed-wing operation to obtain desired endurance and range. A novel three-segment wing design includes: a fixed Inner segment mounted to the fuselage, a controlled, articulating intermediate segment to which lift engines are attached, and a free-to-rotate outer segment to alleviate gust impacts on the airframe in both modes. The aft propulsor is articulated and configured such that the thrust being generated is always in a proverse direction. Also, the controlled-articulation wing segments are operated in both tandem and differential modes to allow for direct control while in the various modes of operation. Also incorporated is a novel control architecture that encompasses both the different system operating modes as well as the considerable number of individual control options and combinations.

The ActiVator is a rigid-wing system designed to transport sensor or instrument packages along a kite line using the lift generated by apparent wind. Unlike flexible, sail-like structures, the ActiVator maintains its aerodynamic shape throughout its flight, except for a movable elevator control surface that adjusts the angle of attack to regulate aerodynamic lift. The structural design leverages principles from aircraft wing engineering, incorporating a reinforced spar capable of withstanding lift-induced bending and drag forces, an aerodynamically optimized leading edge, and a thin trailing edge to achieve higher lift coefficients than typical sail-based designs. The ActiVator can be constructed using a variety of materials, including wood with plastic covering, molded foam with reinforcements, or other lightweight composites tailored for both aerodynamic performance and structural integrity. The control system mirrors conventional aircraft design, using a movable surface for pitch control, thereby adjusting lift to facilitate climbing or descending. Currently, the ActiVator operates via radio-controlled inputs, but it can also be configured for preprogrammed flight sequences, allowing autonomous operation without active user control. By offering a stable, compact, and lightweight platform, the ActiVator enables high-performance instrument deployment across diverse wind conditions. Potential applications include air-quality monitoring, atmospheric boundary layer research, distributed weather observations, and remote sensing, such as optimizing the field of view and resolution of a fixed-lens camera. The technology is at Technology Readiness Level (TRL) 4 (validated in a laboratory environment) and is available for patent licensing.