{"title":"A Control-Equivalent-Turbulence-Input estimation method for unmanned helicopters","authors":"Sergey Nazarov, Per-Olof Gutman","doi":"10.1016/j.ifacsc.2024.100293","DOIUrl":null,"url":null,"abstract":"<div><div>This paper describes a new time-domain estimation method of the Control Equivalent Turbulence Input (CETI). CETI simulates the effects of natural atmospheric turbulence on rotorcraft dynamics by additional control inputs. The identified linear model of helicopter dynamics is changed into a quasi-nonlinear model by adding trim data and nonlinear kinematic equations. An unscented Kalman filter is designed using the quasi-nonlinear helicopter model and scaled unscented transformation to estimate CETI in real-time. The method was first tested in simulations; then, results were obtained for flight. The proposed method is also compared with other methods used in practice.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"31 ","pages":"Article 100293"},"PeriodicalIF":1.8000,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC Journal of Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468601824000543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper describes a new time-domain estimation method of the Control Equivalent Turbulence Input (CETI). CETI simulates the effects of natural atmospheric turbulence on rotorcraft dynamics by additional control inputs. The identified linear model of helicopter dynamics is changed into a quasi-nonlinear model by adding trim data and nonlinear kinematic equations. An unscented Kalman filter is designed using the quasi-nonlinear helicopter model and scaled unscented transformation to estimate CETI in real-time. The method was first tested in simulations; then, results were obtained for flight. The proposed method is also compared with other methods used in practice.