Browse Topic: Computer software and hardware
The recent discovery of glacier remains in Noctis Labyrinthus, the "Maze of the Night" near Mars' equator sheds new light on the history of water on Mars, the evolution of the planet’s climate and geology, and the possibility of life. It also opens the possibility for massive amounts of clean glacier ice to be accessed by astronauts at low latitudes on Mars, alleviating the need to operate in more frigid higher latitudes. Further reconnaissance of the site requires a robotic vehicle capable of traversing rough, salt-crusted glacier surfaces and leaping across crevasse fields. To address this need, we propose a conceptual hybrid aerial/ground vehicle, LILI (Long-term Ice-field Levitating Investigator). LILI combines episodic rotary-wing flight with ground mobility as a propeller-driven sled through an arrangement of skis/runners, wheels, and tilting proprotors. A high-level look at the Noctis Labyrinthus "relict glacier" site is presented, along with a notional LILI mission traverse concept designed to ensure critical scientific measurements are captured. The NASA Design and Analysis of Rotorcraft (NDARC) software is utilized to ensure that mission requirements and sizing constraints are met. Furthermore, future work considers guidance, navigation, and control requirements to satisfy mission objectives, and an initial construction for a simplified LILI small-scale prototype.
A 4-rotor uninhabited air vehicle is described, with a primary mission of supporting personnel fighting wildfires. The paper demonstrates the use of technical design tools for a small Uninhabited Aircraft System (sUAS). A description of the design process is provided, including developing requirements, identifying constraints, the software tools employed, and examination of results. The vehicle is capable of delivering more than 20 kg of supplies to a delivery point 10 nm away while penetrating 30 kt winds. The sized vehicle is transportable in a medium-duty pickup truck and can be picked up and moved for ground handling by one or two individuals. The vehicle information will be publicly released for NDARC software users. Future work will examine other requirements, such as maneuvering and gust rejection.
This paper presents the development and implementation of a complete flight control architecture for a 200kg-class tilt-wing eVTOL aircraft, designed and tested by Dufour Aerospace. The system enables fully automated flight across all regimes, including hover, transition, and cruise. A modular control architecture is described, incorporating a unified vehicle controller, envelope protection, and a guidance system. The control design leverages classical and modern techniques, including model-based synthesis, control allocation, and gain scheduling. A structured software development and validation pipeline is outlined, combining simulation, software- and hardware- in-the-loop testing, and flight testing on both subscale and full-scale platforms. Results from recent autonomous flight trials of the Aero2 aircraft demonstrate precise trajectory tracking and robust performance. The presented approach highlights the feasibility of rapid development cycles while maintaining high standards of safety and reliability for certifiable eVTOL platforms.
This paper presents a meshless large eddy simulation approach for rotorcraft wake prediction, using a vortex particle method accelerated on GPUs. The solver couples a rotor model with a vortex particle wake model, employing the Fast Multipole Method for computational efficiency and implementing viscous diffusion through Particle Strength Exchange and Core Spreading Methods. GPU acceleration achieves speed-ups of up to 10x compared to CPU execution. The solver’s predictions are validated against experimental data, showing excellent agreement. Effects of time step size, numerical integration schemes, viscous models, and particle overlap factors on simulation accuracy and computational cost are systematically analyzed. This GPU-based vortex particle framework provides a fast, accurate, and scalable tool for rotorcraft wake simulations.
Abstract This paper presents a software framework developed for the simulation of vehicle-level control systems for modern (existing or conceptual) ground vehicles, targeted for high-performance platforms (Linux clusters). The framework augmented existing ground vehicle simulation environments (such as CREATE-GV MERCURY or other object-oriented software packages) making it possible to perform a comprehensive evaluation of a ground vehicle’s performance when equipped with vehicle level controllers to determine the effectiveness of the control systems on the vehicle. The framework, implemented as part of the PACE (Powertrain Analysis Computational Environment), was comprised of software components (a C++ objects library) simulating various vehicle-level controllers, an Application Programming Interface for the development of new components to be used within the framework, and C++ code for integrating these components into simulations of control systems within a ground vehicle simulation environment.
Modern aircraft have an established need for a high-performance, open standards solution to interconnect increasing number of digital components including sensors, actuators, controllers, processors, displays and data concentrators. The aircraft can be envisioned as a distributed system requiring highly available, reliable, and deterministic communication network - often termed as digital backbone - for safe operation. This paper introduces a new zonal architecture for aerospace onboard networks using Time-Sensitive Networking (TSN). TSN is an open standard based deterministic Ethernet solution for mission and safety critical networks in aerospace industry that truly meets the Modular Open Standards Approach (MOSA) requirements. This paper also presents a reference implementation of the proposed digital backbone architecture using commercial-off-the-shelf hardware from multiple vendors. Experimental data from laboratory evaluation shows stability, performance, and reliability that meets or exceeds the needs of aerospace use cases. The proposed next generation digital backbone provides significant size, weight, and power savings as well as enables hardware and software modularity using open standards. A specific use case of such a digital backbone is the US Army's Future Vertical Lift (FVL) program, but the proposed architecture is generally applicable to all aircraft networks.
Deos includes an industry standard lightweight TCP/IP stack (LwIP) with a DAL-A sockets library so it can provide data transport during in flight or on ground as part of its standard package. While it may have high data integrity (e.g., through CRC or other such mechanisms), TCP/IP over Ethernet is a non-deterministic protocol. As such, it is not suitable for avionics applications that require determinism or high robustness. In contrast, there are several are several redundant and deterministic data network technologies such as ARINC-664/AFDX, time triggered ethernet (TTE), and time sensitive networking (TSN). These interfaces are based on switched Ethernet technologies and can include system redundancy such that they are applicable for aircraft data network applications. Their feature set enables them to be used as a digital backbone for aircraft control and other applications where both integrity and availability are essential. Each of these solutions generally requires specific end point hardware to implement the protocols in firmware in order to meet the required communication timing and throughput. The implementation of the software device drivers for these technologies on Deos can leverage Deos' I/O Infrastructure (IOI) data distribution service for data decoupling. IOI is a DO-178 DAL-A module that can distribute data based on XML configuration files that specify the data paths, access control and optionally data formatting. It implements an inter-partition communications data interface between avionics applications including ARINC-653 partitions using the ARINC-653 APEX API sampling/queueing ports. Together, these features allow developers to readily adapt to changes in communication structures all through XML configuration files, versus recompiling which would impact the verification evidence of the module. This paper will talk about the different networking standards and how the use of Deos' IOI provides a way for the system to easily adapt to different network configurations without causing the driver library or end application(s) to be modified and thereby minimize change impact for reuse/reverification.
There is a shift in the industry driving avionics manufactures to provide more interactive connectivity than they have had to in the past. The increasing threat of cyber security attacks in our communication systems is an increasing problem in our society and the avionics industry cannot ignore the fact that the threats are real and they must protect the systems from these attacks. Another element driving these concerns is the implementation of the FAA's NextGen or EASA's SESAR technologies which will require avionics vendors to replace their proprietary, relatively isolated embedded computer systems with information systems that interoperate and share data throughout FAA's/EASA's operations. In order to make the National Airspace (NAS) operate in the most efficient way all aircraft and ground systems will need to share information. The FAA and EASA have released standards to address these systems. This paper is only going to address aspects of security from a software perspective; more specifically, what an operating system and its environment should provide as a foundation for the security requirements. It is important to note that a generic solution to any security problem does not exist. Providing a complete security solution is the result of going through and addressing the airworthiness security process (AWSP).
Advancing technology has driven continuous improvements across most aspects of human endeavors. In the time since the first modern helicopter flew in 1939, the world has seen inventions like the microwave, personal computers, cell phones, and the internet. If helicopters predate these society-changing innovations, then it stands to reason that the manner in which helicopters operate has drastically shifted as well. Specifically, this paper reviews historical concepts of operations (CONOPS) in rotorcraft aerial firefighting and analyzes where technology advancements have made an impact on firefighting operations and the performance of helicopters in suppressing fires. These shifts were evaluated using analytical assessments and highlighting snapshots in time of how capability impacted the aerial firefighting mission effectiveness. As companies innovate and technology advances, further benefits to rotorcraft CONOPS in aerial firefighting will be realized.
NASA's 4th New Frontiers Mission is the Titan Dragonfly relocatable lander. This coaxial quadrotor vehicle will be launched on a rocket to Titan in 2028. Following a gravity assisted Earth flyby and an approximate 6-year transit, Dragonfly will enter the Titan atmosphere around 2034 with the goal of exploring Titan's pre-biotic chemistry and habitability. The multirotor design for this unique application has continually evolved since 2016 with constraints such as Titan's cryogenic atmosphere at 95 Kelvin (-288 F), gravity 14% that of Earth's, atmospheric density 440% of standard sea-level air, and the inability to test the entire system together under all these conditions until the first flight on Titan. This paper focuses on rotor design aspects of the Dragonfly lander and introduces a novel framework for multirotor design optimization considering multiple flight conditions. The methodology leverages machine learning methods and is demonstrated in the context of Dragonfly. A new OVERFLOW Machine Learning Airfoil Performance (PALMO) database is first presented. PALMO is then wrapped inside a Bayesian optimization framework and applied to a 4-rotor system (one side of the Dragonfly lander). Training data is generated on each iteration of the optimization using the CAMRAD-II comprehensive analysis software to evaluate successive rotor designs in multiple relevant flight conditions. An optimal design for the 4-rotor system was found with approximately 900 rotor designs analyzed in CAMRAD-II, which required 9 million queries of the PALMO surrogate models. This demonstration case evaluated 10,000,000 potential candidate rotor designs in 5.5 hours on 114 CPU cores using uniform inflow, and in 27.8 hours using the prescribed wake model. This work thus enables mid-fidelity rotor design optimization without requiring access to high-performance computing.
An essential component for the advancement of autonomous flight lies in the development of an intelligent routing system designed to facilitate the maintenance and troubleshooting of electrical wiring. Utilizing software with the capability to present routed paths in a computer-aided design (CAD) format allows for a detailed representation of the rules governing the layout of wiring around structural supports and distribution channels. Despite this, three-dimensional (3D) methodologies have yet to fully incorporate critical data related to the characterization of individual wiring signals, hindering automatic routing. This paper underscores a competitive edge that can be achieved by expanding 3D capabilities to accurately depict the current state of wiring signals in terms of temperature, humidity, electromagnetic frequency, amperage, and other relevant factors. Achieving this involves integrating a non-intrusive smart sensing technology with the intelligent routing system to monitor and diagnose the health and integrity of the wiring system. With this integration, a more robust artificial intelligence (AI) system can leverage the obtained data to make more precise decisions, enhancing overall system performance.
The Adaptive Digital Automated Pilotage Technology (ADAPTTM) flight control software package aims to take advantage of redundant controls to improve safety, survivability, and performance for advanced rotorcraft. Vehicle Maneuver Optimization (VMO) is one component of the ADAPTTM architecture intended to increase maneuverability. VMO uses feedforward actuation within the control null space of over-actuated aircraft to minimize power required during quasi-steady maneuvers. In this study, the system is applied to a generic tiltrotor aircraft and evaluated in piloted simulations at the Penn State Rotorcraft Simulator. In this application, VMO uses flap deployment and nacelle tilt to reduce power required in turn maneuvers. Piloted simulation results show that the system effectively reduces power required during Break Turn and Maximum Performance Turn Mission Task Elements (MTE), while handling qualities are equivalent to the baseline controller without VMO. The system was also tested for a terrain flight mission scenario. Pilot comments indicated better handling with VMO in the aggressive maneuvering phases of the flight.
In this work, we present a lightweight pipeline for robust behavioral cloning of a human driver using end-to-end imitation learning. The proposed pipeline was employed to train and deploy three distinct driving behavior models onto a simulated vehicle. The training phase comprised of data collection, balancing, augmentation, preprocessing, and training a neural network, following which the trained model was deployed onto the ego vehicle to predict steering commands based on the feed from an onboard camera. A novel coupled control law was formulated to generate longitudinal control commands on the go based on the predicted steering angle and other parameters such as the actual speed of the ego vehicle and the prescribed constraints for speed and steering. We analyzed the computational efficiency of the pipeline and evaluated the robustness of the trained models through exhaustive experimentation during the deployment phase. We also compared our approach against state-of-the-art implementation in order to comment on its validity.
ABSTRACT
This study presents static analyses of transmission error in a single gear pair gearbox for six pairs of hybrid composite-steel spur gear designs developed in a previously presented optimization effort. The results were compared to those of the same gearbox featuring a baseline all-steel gear pair. The gearbox models were developed in the commercial software RomaxDESIGNER R17. A tooth stiffness analysis was also conducted to replace the tooth stiffness values calculated in Romax with values that consider the web effects on tooth stiffness. These stiffnesses are used to calculate the mesh stiffness. This analysis showed a 2-5% difference in average tooth stiffness of the hybrid gears compared to the steel gear. The transmission error analysis with the new tooth stiffnesses showed a 1-3% increase in the transverse error in for hybrid gears compared to the baseline steel.
A multidisciplinary approach combining conceptual vehicle sizing, surrogate performance modeling, and affordability analysis is presented as a solution to a system of systems operations problem. The approach is utilized in the design analysis of battery-powered quadcopter drones operating in a rapid package delivery system with time and system cost used as objective functions. To facilitate data flow between the design routine and external simulation tools, a software script is developed for rapid design and performance assessment of quadcopters in the size range between 3 and 9 pounds of gross weight. Beginning with a review of the surrogate modeling procedure, the implementation and operation of the software are demonstrated. The aircraft concepts generated in the routine are considered in a preliminary cost-benefit analysis within the system of systems context. The study concludes with observations on quadcopter capability and effectiveness advantages and limits, along with possible future expansion plans of the software tool to investigate these limits.
The British Experimental Rotor Programme (BERP) tip design is well known for its superior performance for high speed flight. This paper revisits the BERP design by presenting a parameterized model of the planform design based on published data and investigating its performance on the Apache rotor blade. The underlying airfoil sections, HH02 and NACA64A006, are retained in a new Apache BERP-shape rotor blade. The performance of the Apache BERP-shape rotor blade is evaluated for hover and forward flight by using US Army CREATE™-AV Helios software and compared with the Apache baseline rotor blade. The results are presented in the form of rotor thrust, rotor torque, figure of merit, trim condition, sectional blade loading and pressure distribution. A visualization of complex vortex structures is provided to offer insight into the airflow characteristics at different flight conditions.
Collins Aerospace recognizes the value the warfighter gets from reducing the Size, Weight and Power (SWAP) of the avionics systems. The war fighter also sees benefit from reuse of existing avionics and mission software modules, which frequently vary in software framework and thus are allocated to separate processors. A solution, as seen in the commercial IT industry would be the use of multi-core processing and hypervisors allowing the mixing of frameworks providing rapid integration with minimal SWAP. In avionics we must additionally provide assurance. This paper will explore our application of the FACE™ Technical Standard (Ref. [1]) to obtain framework variability, used in conjunction with a hypervisor to allow the resulting frameworks to exist in a single multi-core processing environment with safety assurance to the solution. The concept proposed was validated through demonstration of US Army and Collins software running on the same multi-core processor.
Researchers have constructed a paper-based device as a model of wearables that can collect, transport, and analyze sweat in next-generation wearable technology. Using a process known as capillary action, akin to water transport in plants, the device uses evaporation to wick fluid that mimics the features of human sweat to a sensor for up to 10 days or longer.
A deep-learning powered single-strained electronic skin sensor can capture human motion from a distance. The single strain sensor placed on the wrist decodes complex five-finger motions in real time with a virtual 3D hand that mirrors the original motions. The deep neural network boosted by rapid situation learning (RSL) ensures stable operation regardless of its position on the surface of the skin.
Researchers have developed biomaterial-based inks that respond to and quantify chemicals released from the body (e.g., in sweat and potentially other biofluids) or in the surrounding environment by changing color. The inks can be screen printed onto textiles such as clothes, shoes, or even face masks in complex patterns and at high resolution, providing a detailed map of human response or exposure.
Researchers at MIT and Brigham and Women’s Hospital have designed a new face mask that they believe could stop viral particles as effectively as N95 masks. Unlike N95 masks, the new masks were designed to be easily sterilized and used many times.
Today’s medical device manufacturers are facing changing and more challenging requirements for their products. Users are demanding less-invasive devices, and in some cases, wearable devices that are robust and long lasting. Regulations are becoming ever more stringent and costly, especially in terms of biodegradability. Yet at the same time, device manufacturers want to meet user demands by including the latest technologies, while keeping their costs under control.
Washington State University researchers have developed a technology that is more than 30 times more sensitive than current lab-based tests in finding early stage cancer biomarkers in blood.
The advent of the COVID-19 pandemic has created uncertainty and delays in procedures, but hospitals and surgeons still need a steady supply of product, meaning that the orthopedics industry must keep innovating. One thing is certain, 2020 will be a turbulent year for procedure demand. Early on, analysts predicted that because many orthopedic procedures are elective, they would be postponed to help free up space for critically ill patients. While the recovery of orthopedic procedures has begun more quickly than analysts initially expected, it seems likely it will take longer than expected to reach full recovery as we look into 2021. June ordering patterns were already much higher than May, but the quicker recovery may indicate a second decline (W-shaped) versus a sharp decline followed by a quick recovery (V-shaped).
A device that monitors health conditions in the body using a person's sweat has been developed by Penn State and Xiangtan University researchers, according to Huanyu “Larry” Cheng, assistant professor of engineering science and mechanics, Penn State.
Conventional melanoma therapies, including chemotherapy and radiotherapy, suffer from the toxicity and side effects of repeated treatments due to the aggressive and recurrent nature of melanoma cells.
The security of connected health technology is often assumed to exist when it does not, or considered to be prohibitively expensive or complex, or, worst of all, relegated to an afterthought. This is dangerous thinking, especially as the industry increasingly moves to a smartphone-based command-and-control model for these safety-critical applications.
Over the years, technological innovation has allowed the medical equipment sector to become a mission-critical part of the healthcare industry, delivering such benefits as lower operating costs and improved patient outcomes. But competitive pressures are driving the need for device developers to provide a richer experience for users, incorporating broader capabilities and features and more options.
EPFL researchers have developed electronic fibers that, when embedded in textiles, can collect a wealth of information about our bodies by measuring subtle and complex fabric deformations. Their technology relies on transmission line theory and offers a host of applications, such as in healthcare and robotics.
A novel stretchable material, when used in light-emitting capacitor devices, enables highly visible illumination at low operating voltages, and it is also resilient to damage due to its self-healing properties.
Rice University neuroengineers have created a tiny surgical implant that can electrically stimulate the brain and nervous system without using a battery or wired power supply.
Items per page:
50
1 – 50 of 4296