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Article

Verification in Relevant Environment of a Physics-Based Synthetic Sensor for Flow Angle Estimation †

1
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Turin, Italy
2
Istituto Nazionale di Ricerca Metrologica, Strada delle Cacce, 91, 10135 Turin, Italy
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Lerro, A.; Brandl, A.; Gili, P.; Pisani, M. The SAIFE Project: Demonstration of a Model-Free Synthetic Sensor for Flow Angle Estimation. In Proceedings of the 2021 IEEE 8th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Virtual Conference, 22–25 June 2021.
Academic Editor: Bin Xu
Electronics 2022, 11(1), 165; https://doi.org/10.3390/electronics11010165
Received: 22 November 2021 / Revised: 23 December 2021 / Accepted: 3 January 2022 / Published: 5 January 2022
(This article belongs to the Special Issue Unmanned Aircraft Systems with Autonomous Navigation)
In the area of synthetic sensors for flow angle estimation, the present work aims to describe the verification in a relevant environment of a physics-based approach using a dedicated technological demonstrator. The flow angle synthetic solution is based on a model-free, or physics-based, scheme and, therefore, it is applicable to any flying body. The demonstrator also encompasses physical sensors that provide all the necessary inputs to the synthetic sensors to estimate the angle-of-attack and the angle-of-sideslip. The uncertainty budgets of the physical sensors are evaluated to corrupt the flight simulator data with the aim of reproducing a realistic scenario to verify the synthetic sensors. The proposed approach for the flow angle estimation is suitable for modern and future aircraft, such as drones and urban mobility air vehicles. The results presented in this work show that the proposed approach can be effective in relevant scenarios even though some limitations can arise. View Full-Text
Keywords: air data system; flow angle; angle-of-attack; angle-of-sideslip; flight dynamics; flight testing; synthetic sensor; analytical redundancy; model-free; physics-based air data system; flow angle; angle-of-attack; angle-of-sideslip; flight dynamics; flight testing; synthetic sensor; analytical redundancy; model-free; physics-based
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MDPI and ACS Style

Lerro, A.; Gili, P.; Pisani, M. Verification in Relevant Environment of a Physics-Based Synthetic Sensor for Flow Angle Estimation. Electronics 2022, 11, 165. https://doi.org/10.3390/electronics11010165

AMA Style

Lerro A, Gili P, Pisani M. Verification in Relevant Environment of a Physics-Based Synthetic Sensor for Flow Angle Estimation. Electronics. 2022; 11(1):165. https://doi.org/10.3390/electronics11010165

Chicago/Turabian Style

Lerro, Angelo, Piero Gili, and Marco Pisani. 2022. "Verification in Relevant Environment of a Physics-Based Synthetic Sensor for Flow Angle Estimation" Electronics 11, no. 1: 165. https://doi.org/10.3390/electronics11010165

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