Pseudomeasurement-Aided Estimation of Angle of Attack in Mini Unmanned Aerial Vehicle

Prem, S; Sankaralingam, L.; Ramprasadh, C.

doi:10.2514/1.i010783

Cited by 9 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the field of synthetic sensors, different categories and examples are available in the literature [3][4][5][6], whereas the MIDAS project's output [7] aims to be certified. The majority of the synthetic sensors developed so far, including those of the MIDAS project, suffer from common issues: (i) they can only be used on the aircraft where calibrated; (ii) they should be tuned on the aircraft's current configuration and flight conditions; (iii) they require a tuning phase based on flight data.…”

Section: Introductionmentioning

confidence: 99%

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

2022

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

2022

View full text Add to dashboard Cite

show abstract

“…As far as the flow angle estimation is concerned, the first example can be found in [18,19] and recently in [11,[20][21][22][23][24][25]. Model-based (e.g., Kalman filter), data-driven (e.g., neural networks), and model-free [26,27] are the approaches commonly used.…”

Section: Introductionmentioning

confidence: 99%

Safety Analysis of a Certifiable Air Data System Based on Synthetic Sensors for Flow Angle Estimation

Lerro

Battipede

2021

Applied Sciences

View full text Add to dashboard Cite

This work deals with the safety analysis of an air data system (ADS) partially based on synthetic sensors. The ADS is designed for the small aircraft transportation (SAT) community and is suitable for future unmanned aerial vehicles and urban air mobility applications. The ADS’s main innovation is based on estimation of the flow angles (angle-of-attack and angle-of-sideslip) using synthetic sensors instead of classical vanes (or sensors), whereas pressure and temperature are directly measured with Pitot and temperature probes. As the air data system is a safety-critical system, safety analyses are performed and the results are compared with the safety objectives required by the aircraft integrator. The present paper introduces the common aeronautical procedures for system safety assessment applied to a safety critical system partially based on synthetic sensors. The mean time between failures of ADS’s sub-parts are estimated on a statistical basis in order to evaluate the failure rate of the ADS’s functions. The proposed safety analysis is also useful in identifying the most critical air data system parts and sub-parts. Possible technological gaps to be filled to achieve the airworthiness safety objectives with nonredundant architectures are also identified.

show abstract

“…On the contrary, in this field a synthetic sensor (also called virtual sensor) is an estimator able to provide AOA and/or AOS with an sufficiently high accuracy without the support of dedicated protruding probes, although it might use other protruding probes such as a Pitot probe for the measurement of the total pressure. In the past, researchers applied several techniques to obtain a synthetic sensor for AOA and AOS, for instance several studies exist on the application of Kalman Filter (KF) [2][3][4][5][6][7][8], other studies focus on the application of Neural Network (NN) [9][10][11], while the mathematical description of the problem resulting in an analytical estimator independent from the aircraft have been published in [12]. Another important research topic is the wind estimation, which is tighly related to the estimation of AOA/AOS [13].…”

Section: Introductionmentioning

confidence: 99%

Maneuver-Based Cross-Validation Approach for Angle-of-Attack Estimation

Brandl¹,

Battipede²

2021

14th WCCM-ECCOMAS Congress

View full text Add to dashboard Cite

The estimation of the Angle of Attack (AOA) and Angle of Sideslip (AOS) is crucial for flight monitoring and control. However, a gap has been identified on the data selection technique for the class of estimators based on data-driven methods, such as the synthetic sensor based on Neural Network (NN). This paper proposes a Cross Validation (CV) technique applied on a manoeuver-based partitioning method to provide evidence that a given selection of data can lead to better estimation performance, with the final aim of providing a list of manoeuvers suitable for the training phase of the estimator. Results are shown using simulated data related to the CleanSky 2 project MIDAS.

show abstract

Pseudomeasurement-Aided Estimation of Angle of Attack in Mini Unmanned Aerial Vehicle

Cited by 9 publications

References 14 publications

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

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

Safety Analysis of a Certifiable Air Data System Based on Synthetic Sensors for Flow Angle Estimation

Maneuver-Based Cross-Validation Approach for Angle-of-Attack Estimation

Contact Info

Product

Resources

About