Avoiding high computational loads is essential to online aerodynamic model identification algorithms, which are at the heart of any model-based adaptive flight-control system. Multivariate simplex B-spline methods are excellent function approximation tools for modeling the nonlinear aerodynamics of high-performance aircraft. However, the computational efficiency of the multivariate simplex B-spline method must be improved in order to enable real-time onboard applications, for example, in adaptive nonlinear flight-control systems. In this paper, a new recursive sequential identification strategy is proposed for the multivariate simplex B-spline method aimed at increasing its computational efficiency, thereby allowing its use in onboard system identification applications. The main contribution of this new method is a significant reduction of the computational load for large-scale online identification problems as compared to the existing multivariate simplex B-spline methods. The proposed method consists of two sequential steps for each time interval and makes use of a decomposition of the global problem domain into a number of subdomains, called modules. In the first step, the B-coefficients for each module are estimated using a least-squares estimator. In the second step, the local B-coefficients for each module are then smoothened into a single global B-coefficient vector using a linear minimum mean-square errors estimation. The new method is compared to existing batch and recursive multivariate simplex B-spline methods in a numerical experiment in which an aerodynamic model is recursively identified based on data from a NASA F-16 wind-tunnel model.


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    Title :

    Online Aerodynamic Model Identification Using a Recursive Sequential Method for Multivariate Splines


    Contributors:
    Sun, L. G. (author) / de Visser, C. C. (author) / Chu, Q. P. (author) / Mulder, J. A. (author)

    Published in:

    Publication date :

    2013-09-01




    Type of media :

    Conference paper , Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    A Recursive Sequential Method for Multivariate Splines Towards Online Aerodynamic Model Identification

    Sun, L. / de Visser, C. / Chu, Q.P. et al. | British Library Conference Proceedings | 2012




    Global Nonlinear Aerodynamic Model Identification with Multivariate Splines

    de Visser, C. / Mulder, J. / Chu, Q. et al. | British Library Conference Proceedings | 2009