Hao Lei, Liang Xu, Boyi Chen, Yuping Lu, Mingmin Sun
{"title":"Comparison of model reduction methods for very flexible aircraft","authors":"Hao Lei, Liang Xu, Boyi Chen, Yuping Lu, Mingmin Sun","doi":"10.1109/YAC.2018.8406416","DOIUrl":null,"url":null,"abstract":"This paper deals with the model reduction methods for very flexible aircraft (VFA). Such aircraft is characterized by strong coupling between rigid motion and flexible motion, resulting in a very high order system for controll design. Recently released high-fidelity Vulture model of 707 order is chosen to be a typical example of VFA and is regarded as the reference model. Then three model reduction methods: balanced truncation method, balanced residual method and optimal hankel norm approximation are presented. Finally, numerical simulation is used to illustrate the characteristic of VFA and determine the best method for model reduction of VFA. In addition, the relationship between model error and model order is given. Both frequency domain and time domain analysis verify the reduced model of order 80 using balanced singular perturbation method is sufficient to maintain the accuracy of the full model.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2018.8406416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper deals with the model reduction methods for very flexible aircraft (VFA). Such aircraft is characterized by strong coupling between rigid motion and flexible motion, resulting in a very high order system for controll design. Recently released high-fidelity Vulture model of 707 order is chosen to be a typical example of VFA and is regarded as the reference model. Then three model reduction methods: balanced truncation method, balanced residual method and optimal hankel norm approximation are presented. Finally, numerical simulation is used to illustrate the characteristic of VFA and determine the best method for model reduction of VFA. In addition, the relationship between model error and model order is given. Both frequency domain and time domain analysis verify the reduced model of order 80 using balanced singular perturbation method is sufficient to maintain the accuracy of the full model.