Publications Unmanned Aircraft & Flight Testing
Propulsion System Instrumentation Development and Integration on Small- and Medium-Sized Electric Unmanned Aircraft
AIAA SCITECH 2022 Forum, 2022
Abstract
With the increasing popularity of unmanned aircraft for both research, military, and commercial applications, significant effort has been undertaken in order to improve these aircraft’s performance and flight characteristics. Unmanned aircraft research and development is often based on or culminates with flight testing and significant effort has been undertaken to integrate an increasing amount of sensing into these vehicles. In the end all flight testing efforts depend on the ability to acquire and utilize high fidelity flight data from a large range of sensors and devices. On electrically-propelled unmanned aircraft, collecting propulsion system data is especially vital in determining aircraft state. Broadly, this includes: rotation rate(s) of propellers, fans, or rotors; voltage, current, and temperature at each system component, and energy state of storage components. To collect these measurements, sensors are placed throughout an aircraft with data being sent to a central avionics system, such as a data acquisition system or autopilot. This paper focuses on the requirements, design, development, and integration to perform in-flight measurements of propulsion system parameters on smalland medium-sized electric unmanned aircraft. First, the paper provides an overview for the development of a data acquisition systems on unmanned aircraft followed by the instrumentation aspects involved in integrating propulsion system sensors and interfaces into existing system architectures. Then, the paper presents propulsion system sensing integration examples in 3 different types of electric unmanned aircraft used for research.
Code and hardware artifacts
Cite this paper
@inproceedings{PropInstr_AIAA22,
title = {{Propulsion System Instrumentation Development and Integration on Small- and Medium-Sized Electric Unmanned Aircraft}},
author = {Dantsker, Or D. and Mancuso, Renato},
booktitle = {AIAA SCITECH 2022 Forum},
year = 2022,
doi = {10.2514/6.2022-2156},
url = {https://doi.org/10.2514/6.2022-2156}
}
TY - CONF AU - Dantsker, Or D. AU - Mancuso, Renato TI - Propulsion System Instrumentation Development and Integration on Small- and Medium-Sized Electric Unmanned Aircraft T2 - AIAA SCITECH 2022 Forum PY - 2022 DO - 10.2514/6.2022-2156 UR - https://doi.org/10.2514/6.2022-2156 AB - With the increasing popularity of unmanned aircraft for both research, military, and commercial applications, significant effort has been undertaken in order to improve these aircraft’s performance and flight characteristics. Unmanned aircraft research and development is often based on or culminates with flight testing and significant effort has been undertaken to integrate an increasing amount of sensing into these vehicles. In the end all flight testing efforts depend on the ability to acquire and utilize high fidelity flight data from a large range of sensors and devices. On electrically-propelled unmanned aircraft, collecting propulsion system data is especially vital in determining aircraft state. Broadly, this includes: rotation rate(s) of propellers, fans, or rotors; voltage, current, and temperature at each system component, and energy state of storage components. To collect these measurements, sensors are placed throughout an aircraft with data being sent to a central avionics system, such as a data acquisition system or autopilot. This paper focuses on the requirements, design, development, and integration to perform in-flight measurements of propulsion system parameters on smalland medium-sized electric unmanned aircraft. First, the paper provides an overview for the development of a data acquisition systems on unmanned aircraft followed by the instrumentation aspects involved in integrating propulsion system sensors and interfaces into existing system architectures. Then, the paper presents propulsion system sensing integration examples in 3 different types of electric unmanned aircraft used for research. ER -
%0 Conference Paper %A Dantsker, Or D. %A Mancuso, Renato %T Propulsion System Instrumentation Development and Integration on Small- and Medium-Sized Electric Unmanned Aircraft %B AIAA SCITECH 2022 Forum %D 2022 %R 10.2514/6.2022-2156 %U https://doi.org/10.2514/6.2022-2156 %X With the increasing popularity of unmanned aircraft for both research, military, and commercial applications, significant effort has been undertaken in order to improve these aircraft’s performance and flight characteristics. Unmanned aircraft research and development is often based on or culminates with flight testing and significant effort has been undertaken to integrate an increasing amount of sensing into these vehicles. In the end all flight testing efforts depend on the ability to acquire and utilize high fidelity flight data from a large range of sensors and devices. On electrically-propelled unmanned aircraft, collecting propulsion system data is especially vital in determining aircraft state. Broadly, this includes: rotation rate(s) of propellers, fans, or rotors; voltage, current, and temperature at each system component, and energy state of storage components. To collect these measurements, sensors are placed throughout an aircraft with data being sent to a central avionics system, such as a data acquisition system or autopilot. This paper focuses on the requirements, design, development, and integration to perform in-flight measurements of propulsion system parameters on smalland medium-sized electric unmanned aircraft. First, the paper provides an overview for the development of a data acquisition systems on unmanned aircraft followed by the instrumentation aspects involved in integrating propulsion system sensors and interfaces into existing system architectures. Then, the paper presents propulsion system sensing integration examples in 3 different types of electric unmanned aircraft used for research.
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"DOI": "10.2514/6.2022-2156",
"abstract": "With the increasing popularity of unmanned aircraft for both research, military, and commercial applications, significant effort has been undertaken in order to improve these aircraft’s performance and flight characteristics. Unmanned aircraft research and development is often based on or culminates with flight testing and significant effort has been undertaken to integrate an increasing amount of sensing into these vehicles. In the end all flight testing efforts depend on the ability to acquire and utilize high fidelity flight data from a large range of sensors and devices. On electrically-propelled unmanned aircraft, collecting propulsion system data is especially vital in determining aircraft state. Broadly, this includes: rotation rate(s) of propellers, fans, or rotors; voltage, current, and temperature at each system component, and energy state of storage components. To collect these measurements, sensors are placed throughout an aircraft with data being sent to a central avionics system, such as a data acquisition system or autopilot. This paper focuses on the requirements, design, development, and integration to perform in-flight measurements of propulsion system parameters on smalland medium-sized electric unmanned aircraft. First, the paper provides an overview for the development of a data acquisition systems on unmanned aircraft followed by the instrumentation aspects involved in integrating propulsion system sensors and interfaces into existing system architectures. Then, the paper presents propulsion system sensing integration examples in 3 different types of electric unmanned aircraft used for research."
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O. D. Dantsker and R. Mancuso, “Propulsion System Instrumentation Development and Integration on Small- and Medium-Sized Electric Unmanned Aircraft,” in AIAA SCITECH 2022 Forum, 2022, doi: 10.2514/6.2022-2156.
Dantsker, O. D., & Mancuso, R. (2022). Propulsion System Instrumentation Development and Integration on Small- and Medium-Sized Electric Unmanned Aircraft. In AIAA SCITECH 2022 Forum. https://doi.org/10.2514/6.2022-2156