Browse Topic: Aircraft instruments
This document presents criteria for flight deck controls and displays for Airborne Collision Avoidance Systems.
Air data measurement and calibration are fundamental components in the pursuit of accurate and reliable aerodynamic assessments. The systematic collection of essential data regarding air properties are important for evaluating aircraft performance under various conditions and configurations. The scope is to achieve a comprehensive understanding of airflow characteristics, which is fundamental for design improvements and operational strategies, contributing to safer and more efficient flight operations in a several range of scenarios. This type of data measurement is even more challenging for the AW609 Tiltrotor which combines vertical take-off technology capabilities with the fixed-wing flight efficiency. The activity starts from known pitot-static system calibration methodologies for conventional applications and shows what were the difficulties encountered in a non-conventional Tiltrotor approach. The paper goes through the presentation of the original Pitot-Static and Air Data system and all the problematics that driven to a design change. After the presentation of the new architecture and the new data collection activity, it will be discussed the optimization of the data calibration strategy, also related to some peculiarities of the Tiltrotor, and how it drives to infer the calibration curves for the Air Data Computers (ADCs).
Sensata Technologies' booth at this year's IAA Transportation tradeshow included two of the company's Precor radar sensors. The PreView STA79 is a heavy-duty vehicle side-monitoring system launched in May 2024 and designed to comply with Europe-wide blind spot monitoring legislation introduced in June 2024. The PreView Sentry 79 is a front- and rear-monitoring system. Both systems operate on the 79-GHz band as the nomenclature suggests. PreView STA79 can cover up to three vehicle zones: a configurable center zone, which can monitor the length of the vehicle, and two further zones that can be independently set to align with individual customer needs. The system offers a 180-degree field of view to eliminate blind spots along the vehicle sides and a built-in measurement unit that will increase the alert level when turning toward an object even when the turn indicator is not used. The system also features trailer mitigation to reduce false positive alerts on the trailer when turning. The system is UN 151 compliant.
Aerospace manufacturers are leveraging multicore processors and modularity to design smarter cockpit displays and avionic computers that are smaller and capable of supporting more applications from a single line replaceable unit (LRU). Some are also starting to embed more of the processing required to enable cockpit display applications within the display itself, rather than having it enabled by an associated LRU. The development of new electric vertical takeoff and landing (eVTOL) aircraft and avionics companies changing their approach to the development of safety critical computers and aircraft networking technologies are some of the aerospace industry factors driving this design trend. In the U.S., the Department of Defense (DoD) embracing the Modular Open Systems Approach (MOSA) across the purchase of all new aircraft technologies is influencing design changes in cockpit displays and aircraft computers as well.
Maintenance of spatial orientation (SO) is achieved primarily through visual information where the horizon and celestial reference cues or flight instruments are used by pilots to infer aircraft orientation. However, cross checking the instruments in degraded visual environments can be complicated by factors such as workload, distraction, and situations where the vestibular and proprioceptive systems may provide false and competing orientation information. We describe experiments measuring pilot performance using a flight simulator under challenging conditions where the sensory information was controlled. Reducing available visual instruments increased the task difficulty. A wearable vibrotactile array could provide concurrent, additional orientation information. Increasing the flying task segment difficulty increased the perceived workload and also corresponded to an increase in accidents. Adding tactile orientation information reduced the accident rate.
With the advancement of automotive industries, the need for wireless connectivity between vehicle and smartphone is increasing. To meet the demand for wireless connectivity, Bluetooth plays a vital role. Testing Bluetooth systems is challenging and complex when development cycles of the system involve multiple partners. The system under test must fulfil consumers expectation of Bluetooth functionality paired with their personal devices. Despite many advances and existence of a few reliable systems, hardware limitation, and lack of standardization in Bluetooth test system are some of the prolonged issues. Throughout the course, various capabilities and existing traditional Bluetooth testing system practice were researched, which majorly at a system level (Black box). The gap of such testing is the escape of defect which involves the interoperability of multiple profiles like AVRCP, HFP, and A2DP. This paper focuses on a reliable testing approach which is based on packet level testing common to BLE and Bluetooth Classic. Research shows there is no common approach for BLE and Bluetooth Classic, some research provides BLE based solution for packet level tracing but lacks to bring it in Bluetooth Classic. The work here will help us in packet sniffing, processing, logging for both BT Classic and BLE profiles. Hence the need to test Bluetooth system to detect and deliver defect-free products would save development cost in terms of time involved in iterative development and testing cycle, and gain customer’s trust. This paper intends to introduce a humble solution to the testing community a step before the functional testing of Bluetooth system through validation of transmitted Bluetooth profile packet-id between the devices.
Machine learning is used for the research and development of ITS services and the rider assistance for on-road motorcycle racing. Meanwhile, rider assistance systems for off-road motorcycles have yet to be developed, partly due to the complexity of the measurement conditions, as described in the previous paper. This research aims to create a reliable AI which is capable of classifying typical jump behaviors in off-road riding by machine learning to create a rider assistance system for off-road motorcycles. Motorcycle manufacturers and certain research institutes use motion sensors to collect data, but the data is obtained from a limited number of vehicles and riders. The creation of a rider assistance system requires a large amount of validation data. Furthermore, it is desirable to achieve the target with data that can be measured in mass-produced vehicles, which will make it possible to collect data even from general users. In addition, recent machine learning models are black boxes because it is difficult for people to understand the entire process, and it is necessary to evaluate the validity of the results. The approaches are as follows. (1) Using data that can be measured in mass-produced vehicles, the number of features was increased as a preprocessing step. (2) The validity of the machine learning model was evaluated by focusing on the SHAP value, one of the XAI techniques. As a result, (1) classification ability has improved. (2) correspondence between the number of features with large SHAP values and physical phenomena has been obtained. In other words, it has been confirmed that appropriate number of features have been selected for classification. These results have indicated that the created AI has a certain level of classification ability and that the judgment results can be trusted.
This AS defines instruments which use inputs of static and pitot pressure equal to those which are utilized to establish the pressure altitude and speed of that aircraft. These pressures are applied to the instrument ports to provide means for generation of an aural warning whenever the aircraft reaches or exceeds the maximum operating limit speed. This Over Speed Warning Instrument function may be incorporated as part of an Air Data Computer, or an Air Speed Indicator, or an Air Speed/Mach Number Indicator, or other instruments. In those cases where the Over Speed Warning Instrument is part of another instrument, the standards contained herein apply only to the Over Speed Warning Instrument function. Each aircraft type and model has a defined maximum operating limit speed curve or curves which are a part of the airframe manufacturer's type certification approval data; this limit speed data shall be available from the subject airframe manufacturer as published in the operating manual for the aircraft type and model number and configuration.
Garmin International, Inc Olathe, KS 800-800-1020
This SAE Aerospace Recommended Practice recommends general criteria for the development and installation of an aircraft emergency signal system to permit any crew member (flight or cabin) to inform all other crew members that an emergency evacuation situation exists and that an evacuation has been or should be immediately started.
Since their invention, helicopters were typical flying object that requested very specific competencies to control their flight. The control of the rotors power, delivered by the engine, was subject to multiple indicators that were installed in the cockpit. Depending on the various technologies, engine temperature, turbine rotation speed, and torque are measured; main gearbox torque, or free turbine speed are monitored. The pilot has the responsibility to ensure that none of them are at their limit, depending on the environmental conditions mainly outside temperature and atmospheric pressure.
The current development of automotive lighting strives towards more and more lighting installations on vehicles. Additionally, to that, manufacturers start animating these lighting installations as coming home or leaving home greetings from the car to the driver. In a previous paper we have shown, that these additional animations are in fact not distracting to other road users and when used correctly, e.g. in a sequential turn indicator, can be beneficial to the overall traffic safety. This study then aims to investigate the potential influence of illuminated logos on road safety. European lawmakers forbid the use of illuminated advertisements on vehicles to minimize the danger of distraction for other road users and thereby negatively influencing traffic safety. As of now, active illumination of the manufacturer’s logo is considered an advertisement. For this, a test vehicle was setup with two high luminance monitors, one at the front, one at the back, capable of producing 4000 cd/m2. With this, it was possible to efficiently vary size, form and illuminance between the logos to find a suitable range for illuminated logos. This vehicle with an illuminated logo at front and back was driven past each test subject, and their attention and distraction was measured. Additionally, a questionnaire was answered after the study to find the test subject’s objective opinions and evaluations of the illuminated logos. The results for gaze tracking show no significant differences in fixations between an illuminated logo and currently allowed light signatures. Showing an actual advertisement with different colors however, led to a significant increase in the number of fixations on the passing vehicle as well as an increase on the gaze duration on the passing vehicle. Even clearer than the objective results is the subjective evaluation. Here the light signatures with the illuminated logos were not only rated as non-distracting and were not perceived as advertisements but were also found to be more pleasing to the subjects.
Selective catalytic reduction (SCR) of oxides of nitrogen (NOx) with gaseous ammonia is the leading technology used to meet on- and off-highway NOx emission standards across the world. In typical SCR systems, a low-pressure injector introduces a solution of urea and water (UWS) into hot exhaust gases leading to atomization and subsequent spray processes that finally lead to production of gaseous ammonia. Through their synergetic effect, the UWS injector and mixing enhancement devices (such as static mixers or baffles) help deliver a uniform mixture of ammonia and NOx to the SCR catalyst with minimal urea-derived solid deposits. To develop an efficient and robust aftertreatment system, it is essential to have experimental and simulation capabilities to assess the behavior of sprays under flow conditions representative of engine exhaust. The experimental part of the present work uses an optically accessible, cold- or hot-flow capable test section (called Insitu test section) that allows optical observations and measurements of aftertreatment sprays in cross-flowing gas. Pitot tubes are used to measure gas velocity, and high-speed imaging is used in conjunction with laser diffraction drop size measurements to characterize the spray. CFD Simulations are conducted using the commercial finite volume code ANSYS FLUENT using the Lagrangian Drop - Eulerian Fluid framework. User defined functions are developed to prescribe accurate initial conditions for the spray, and custom MATLAB scripts are used for detailed post- processing. Predicted velocity fields, spray trajectories and drop sizes are compared against test data under both cold- and hot-flow conditions and effects of spray submodels and numerical model settings are investigated. Finally, implications of the findings from this study for diesel aftertreatment system CFD simulations are discussed.
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