Prediction of Motion Sickness Onset for Vertical Lift Applications

Abstract

It is foreseen that in the upcoming application of (electric) urban air taxis, the comfort of ride and especially the experience of motion sickness will play a vital role in acceptance among passengers and therefore economic success of these vehicles. For this reason, accurate motion sickness prediction models are needed, which later can be employed for, for example, kinetosislow trajectory generation. Established motion sickness models like the ISO 2631 standard, however, only take into account the vertical translational axis and no rotational axis. For this reason, the 6-degrees-of-freedom Kamiji motion sickness model is selected and modified in order to circumvent unsatisfactory prediction results with this model. Subsequently, the parameters of this model are retuned by employing an optimization approach based on published experimental data. It is then shown that with this approach, the modified Kamiji model is better suited for predicting the motion sickness results of this dataset. In the future, this model shall be tested and validated via a series of flight tests with test subjects in DLR's BO-105 helicopter.