{"title":"垂直升降应用的运动病发病预测","authors":"P. Petit","doi":"10.4050/f-0077-2021-16748","DOIUrl":null,"url":null,"abstract":"\n 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 for acceptance amongst passengers and therefore economic success of these vehicles. For this reason accurate motion sickness prediction models are needed, which later can be employed for e.g. kinetosis-low 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-DoF 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.\n","PeriodicalId":273020,"journal":{"name":"Proceedings of the Vertical Flight Society 77th Annual Forum","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of Motion Sickness Onset for Vertical Lift Applications \",\"authors\":\"P. Petit\",\"doi\":\"10.4050/f-0077-2021-16748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n 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 for acceptance amongst passengers and therefore economic success of these vehicles. For this reason accurate motion sickness prediction models are needed, which later can be employed for e.g. kinetosis-low 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-DoF 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.\\n\",\"PeriodicalId\":273020,\"journal\":{\"name\":\"Proceedings of the Vertical Flight Society 77th Annual Forum\",\"volume\":\"148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Vertical Flight Society 77th Annual Forum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4050/f-0077-2021-16748\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Vertical Flight Society 77th Annual Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4050/f-0077-2021-16748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of Motion Sickness Onset for Vertical Lift Applications
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 for acceptance amongst passengers and therefore economic success of these vehicles. For this reason accurate motion sickness prediction models are needed, which later can be employed for e.g. kinetosis-low 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-DoF 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.