The purpose of this paper is to investigate the estimation methodology with a highly generalized cost-effective single hidden layer neural network.

    Design/methodology/approach

    The aerodynamic parameter estimation is a challenging research area of aircraft system identification, which finds various applications such as flight control law design and flight simulators. With the availability of the large database, the data-driven methods have gained attention, which is primarily based on the nonlinear function approximation using artificial neural networks. A novel single hidden layer feed-forward neural network (FFNN) known as extreme learning machine (ELM), which overcomes the issues such as learning rate, number of epochs, local minima, generalization performance and computational cost, as encountered in the conventional gradient learning-based FFNN has been used for the nonlinear modeling of the aerodynamic forces and moments. A mathematical formulation based on the partial differentiation is proposed to estimate the aerodynamic parameters.

    Findings

    The real flight data of longitudinal and lateral-directional motion have been considered to estimate their respective aerodynamic parameters using the proposed methodology. The efficacy of the estimates is verified with the results obtained through the conventional parameter estimation methods such as the equation-error method and filter-error method.

    Originality/value

    The present study is an outcome of the research conducted on ELM for the estimation of aerodynamic parameters from the real flight data. The proposed method is capable to estimate the parameters in the presence of noise.


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    Titel :

    Aircraft parameter estimation using ELM network


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2020-05-01


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Aircraft Parameter Estimation Using Neural Network Based Algorithm

    Peyada, N. / Ghosh, A. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2009



    Aircraft parameter estimation

    ILIFF, KENNETH | AIAA | 1987


    Aircraft Parameter Estimation Using Optimal Control Methods

    Göttlicher, Christoph / Gnoth, Marcus / Bittner, Matthias et al. | AIAA | 2016


    Bibliography for aircraft parameter estimation

    Iliff, Kenneth W. / Maine, Richard E. | NTRS | 1986