{"title":"Nonlinear dynamic inversion control with unknown control effectiveness and actuator dynamic","authors":"Rui Cao , Yanbin Liu","doi":"10.1016/j.ast.2025.110036","DOIUrl":null,"url":null,"abstract":"<div><div>The incremental nonlinear dynamic inversion (INDI) method has been widely applied across various fields and is theoretically capable of achieving precise control of complex nonlinear systems. However, its performance is affected when control effectiveness is uncertain or actuator bandwidth is constrained. In this paper, we propose an adaptive nonlinear dynamic inversion algorithm with actuator dynamics (ANDIa) that incorporates a virtual control matrix and a nonlinear system estimator to address these limitations. Comparative analyses with the INDI controller demonstrate that ANDIa significantly improves control performance under conditions of uncertain control effectiveness and limited actuator bandwidth.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"160 ","pages":"Article 110036"},"PeriodicalIF":5.0000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerospace Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1270963825001075","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
引用次数: 0
Abstract
The incremental nonlinear dynamic inversion (INDI) method has been widely applied across various fields and is theoretically capable of achieving precise control of complex nonlinear systems. However, its performance is affected when control effectiveness is uncertain or actuator bandwidth is constrained. In this paper, we propose an adaptive nonlinear dynamic inversion algorithm with actuator dynamics (ANDIa) that incorporates a virtual control matrix and a nonlinear system estimator to address these limitations. Comparative analyses with the INDI controller demonstrate that ANDIa significantly improves control performance under conditions of uncertain control effectiveness and limited actuator bandwidth.
期刊介绍:
Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to:
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