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

被引:3
作者
Lerro, Angelo [1 ]
Gili, Piero [1 ]
Pisani, Marco [2 ]
机构
[1] Politecn Torino, Dept Mech & Aerosp Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy
[2] Ist Nazl Ric Metrol, Str Cacce, Str Cacce,91, I-10135 Turin, Italy
关键词
air data system; flow angle; angle-of-attack; angle-of-sideslip; flight dynamics; flight testing; synthetic sensor; analytical redundancy; model-free; physics-based; AERIAL VEHICLES UAVS; OF-ATTACK; ALGORITHM; AIRSPEED;
D O I
10.3390/electronics11010165
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:22
相关论文
共 15 条
  • [1] The SAIFE Project: Demonstration of a Model-Free Synthetic Sensor for Flow Angle Estimation
    Lerro, Angelo
    Brandl, Alberto
    Gili, Piero
    Pisani, Marco
    2021 IEEE 8TH INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (IEEE METROAEROSPACE), 2021, : 98 - 103
  • [2] Physics-based modelling for a closed form solution for flow angle estimation
    Lerro, Angelo
    ADVANCES IN AIRCRAFT AND SPACECRAFT SCIENCE, 2021, 8 (04): : 273 - 287
  • [3] Safety Analysis of a Certifiable Air Data System Based on Synthetic Sensors for Flow Angle Estimation
    Lerro, Angelo
    Battipede, Manuela
    APPLIED SCIENCES-BASEL, 2021, 11 (07):
  • [4] Preliminary Design of a Model-Free Synthetic Sensor for Aerodynamic Angle Estimation for Commercial Aviation
    Lerro, Angelo
    Brandl, Alberto
    Battipede, Manuela
    Gili, Piero
    SENSORS, 2019, 19 (23)
  • [5] Physics-Based Deep Learning for Flow Problems
    Sun, Yubiao
    Sun, Qiankun
    Qin, Kan
    ENERGIES, 2021, 14 (22)
  • [6] Sensitivity Analysis of a Certifiable Synthetic Sensor for Aerodynamic Angle Estimation
    Brandi, Alberto
    Coppa, Graziano
    Gili, Piero
    2020 IEEE 7TH INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (METROAEROSPACE), 2020, : 199 - 204
  • [7] Physics-Based Approach to Thermospheric Density Estimation Using CubeSat GPS Data
    Mutschler, Shaylah M.
    Axelrad, Penina
    Sutton, Eric K.
    Masters, Dallas
    SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2023, 21 (01):
  • [8] Fluid Flow Simulation Using Particle Method and Its Physics-based Computer Graphics
    Kakuda, Kazuhiko
    Obara, Shunsuke
    Toyotani, Jun
    Meguro, Mitsuhiko
    Furuichi, Masakazu
    CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2012, 83 (01): : 57 - 72
  • [9] High-fidelity Physics-based Simulation of a UGV Reconnaissance Mission in a Complex Urban Environment
    Goodin, Christopher
    Gates, Burhman Q.
    Cummins, Christopher L.
    George, Taylor R.
    Durst, P. Jeff
    Priddy, Jody D.
    UNMANNED SYSTEMS TECHNOLOGY XIII, 2011, 8045
  • [10] A Physics-Based Equivalent Circuit Model and State of Charge Estimation for Lithium-Ion Batteries
    Li, Yigang
    Qi, Hongzhong
    Shi, Xinglei
    Jian, Qifei
    Lan, Fengchong
    Chen, Jiqing
    ENERGIES, 2024, 17 (15)