Shape Sensing for an UAV Composite Half-Wing: Numerical Comparison between Modal Method and Ko's Displacement Theory

Shape sensing is the reconstruction of the displacement field of a structure from some discrete surface strain measurements and is a key technology for structural health monitoring. The aim of this paper is to compare two approaches to shape sensing that have been shown to be more efficient, especially for aircraft structures applications, in terms of required input strain measurements: the Ko's Displacement Theory and the Modal Method. An object of the shape-sensing analysis is the half-wing of a multirotor UAV. The approaches are summarized in order to set the framework for the numerical comparative investigation. Then, the multirotor UAV is presented and a finite element model of its half-wing is used to simulate the static response to straight-and-level flight conditions. For a given common set of surface strain measurement points, Ko's Displacement Theory and the Modal Method are compared in terms of accuracy of the reconstructed half-wing deflection and twist angle. The Modal Method is shown to be more accurate than Ko's Displacement Theory, especially for the evaluation of the deflection field. Further numerical analyses show that the Modal Method is influenced by the set of mode shapes included in the analysis and that excellent reconstructed deflections can be obtained with a reduced number of sensors, thus assessing the approach as an efficient shape-sensing tool for aircraft structures real applications.

Automated summary

This paper compares two approaches to shape sensing, namely Ko's Displacement Theory and the Modal Method, and investigates their accuracy in reconstructing the deflection and twist angle of a half-wing structure through numerical analysis. The results show that the Modal Method outperforms Ko's Displacement Theory in accuracy, especially in evaluating the deflection field, and can achieve excellent reconstructed deflections with a reduced number of sensors.