A Mission Performance Evaluation Approach for Civil UAS Applications

Ekaterina Fokina; Jens Feger; Mirko Hornung

doi:10.1051/matecconf/201822105006

A Mission Performance Evaluation Approach for Civil UAS Applications

Ekaterina Fokina, Jens Feger, Mirko Hornung

Chair of Aircraft Design

Technical University of Munich

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

The Unmanned Aircraft Systems (UAS) mission fulfilment grade is determined by performance capabilities of the system elements, such as UAV flight performance, sensor parameters, energy consumption and communication abilities. The mission simulation and evaluation tool chain developed at the Institute of Aircraft Design allows to assess the system effectiveness in terms of civil and commercial UAS applications and by this to evaluate trade off studies regarding the compatibility between the air vehicle, the sensor payload and the mission. The presented approach for mission performance evaluation is based on the calculation of an overall mission performance index implemented in the UAS design and optimization processes.

Original language	English
Article number	05006
Journal	MATEC Web of Conferences
Volume	221
DOIs	https://doi.org/10.1051/matecconf/201822105006
State	Published - 29 Oct 2018
Event	3rd International Conference on Design and Manufacturing Engineering, ICDME 2018 - Melbourne, Australia Duration: 16 Jul 2018 → 18 Jul 2018

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10.1051/matecconf/201822105006

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title = "A Mission Performance Evaluation Approach for Civil UAS Applications",

abstract = "The Unmanned Aircraft Systems (UAS) mission fulfilment grade is determined by performance capabilities of the system elements, such as UAV flight performance, sensor parameters, energy consumption and communication abilities. The mission simulation and evaluation tool chain developed at the Institute of Aircraft Design allows to assess the system effectiveness in terms of civil and commercial UAS applications and by this to evaluate trade off studies regarding the compatibility between the air vehicle, the sensor payload and the mission. The presented approach for mission performance evaluation is based on the calculation of an overall mission performance index implemented in the UAS design and optimization processes.",

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AU - Feger, Jens

AU - Hornung, Mirko

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N2 - The Unmanned Aircraft Systems (UAS) mission fulfilment grade is determined by performance capabilities of the system elements, such as UAV flight performance, sensor parameters, energy consumption and communication abilities. The mission simulation and evaluation tool chain developed at the Institute of Aircraft Design allows to assess the system effectiveness in terms of civil and commercial UAS applications and by this to evaluate trade off studies regarding the compatibility between the air vehicle, the sensor payload and the mission. The presented approach for mission performance evaluation is based on the calculation of an overall mission performance index implemented in the UAS design and optimization processes.

AB - The Unmanned Aircraft Systems (UAS) mission fulfilment grade is determined by performance capabilities of the system elements, such as UAV flight performance, sensor parameters, energy consumption and communication abilities. The mission simulation and evaluation tool chain developed at the Institute of Aircraft Design allows to assess the system effectiveness in terms of civil and commercial UAS applications and by this to evaluate trade off studies regarding the compatibility between the air vehicle, the sensor payload and the mission. The presented approach for mission performance evaluation is based on the calculation of an overall mission performance index implemented in the UAS design and optimization processes.

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DO - 10.1051/matecconf/201822105006

M3 - Conference article

AN - SCOPUS:85056661967

SN - 2261-236X

VL - 221

JO - MATEC Web of Conferences

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M1 - 05006

T2 - 3rd International Conference on Design and Manufacturing Engineering, ICDME 2018

Y2 - 16 July 2018 through 18 July 2018

ER -

A Mission Performance Evaluation Approach for Civil UAS Applications

Abstract

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