In the area of synthetic and smart sensors for flow angle estimation for UAS applications, model-based, data-driven and model-free approaches represent the state-of-the-art techniques to estimate the angle-of-attack and angle-of-sideslip. Thanks to sensor fusion techniques, a synthetic sensor is able to provide estimation of flow angles without any dedicated physical sensors. A model-free approach, based on a set of nonlinear equations, demonstrates good performances when used with flight simulated data. As shown in this work, an iterative solver could not be adequate dealing with real flight data affected by common instrument uncertainties. In order to cope with real flight data, two deterministic solvers can be adopted that are based on neural techniques: pre-trained multilayer perceptron and generalised radial basis function neural networks. The neural networks considered in this work are trained with batch and sequential algorithms. All solvers are tested with noise-free and noisy signals simulating real flight instrument noise. The aim of the present work, in fact, is to provide a preliminary benchmark between the aforementioned solvers when used to solve the proposed nonlinear scheme for flow angle estimation dealing with instrument noise.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Neural Network Techniques to Solve a Model-Free Scheme for Flow Angle Estimation


    Contributors:


    Publication date :

    2021-06-15


    Size :

    1386202 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Model-Free Scheme for Angle-of-Attack and Angle-of-Sideslip Estimation

    Lerro, Angelo / Brandl, Alberto / Gili, Piero | AIAA | 2021

    Free access

    Neural Network to Solve the Static Wagon-Flow Allocation

    Jing, Yun / He, Shi-wei / Song, Rui et al. | IEEE | 2012



    A Neural Network Model for Road Traffic Flow Estimation

    Habtie, Ayalew Belay / Abraham, Ajith / Midekso, Dida | Springer Verlag | 2015


    Estimation of Vehicle Centroid Side Angle Based on Neural Network

    Chen, Haoxiang / Yu, Liangyao / Zhu, Rong | British Library Conference Proceedings | 2022