{"title":"基于齐次正交分解的航空载荷参数化","authors":"Finn Matras, D. Reinhardt, M. D. Pedersen","doi":"10.1109/ICSTCC55426.2022.9931879","DOIUrl":null,"url":null,"abstract":"This work proposes a novel parametrization strategy for steady aerodynamic forces. We point out that air-loads are homogeneous and enforce this property by using a parametrization based on spherical harmonics. The parametrization enables an analogue of frequency-based truncation and a variation on the Singular Value Decomposition (SVD), constituting an orthogonal decomposition of the modeled airloads. The method's utility is showcased for model reduction and identification purposes.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parametrization of Airloads Using a Homogeneity-based Orthogonal Decomposition\",\"authors\":\"Finn Matras, D. Reinhardt, M. D. Pedersen\",\"doi\":\"10.1109/ICSTCC55426.2022.9931879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work proposes a novel parametrization strategy for steady aerodynamic forces. We point out that air-loads are homogeneous and enforce this property by using a parametrization based on spherical harmonics. The parametrization enables an analogue of frequency-based truncation and a variation on the Singular Value Decomposition (SVD), constituting an orthogonal decomposition of the modeled airloads. The method's utility is showcased for model reduction and identification purposes.\",\"PeriodicalId\":220845,\"journal\":{\"name\":\"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSTCC55426.2022.9931879\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC55426.2022.9931879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parametrization of Airloads Using a Homogeneity-based Orthogonal Decomposition
This work proposes a novel parametrization strategy for steady aerodynamic forces. We point out that air-loads are homogeneous and enforce this property by using a parametrization based on spherical harmonics. The parametrization enables an analogue of frequency-based truncation and a variation on the Singular Value Decomposition (SVD), constituting an orthogonal decomposition of the modeled airloads. The method's utility is showcased for model reduction and identification purposes.