{"title":"Application of Log-Linear Dynamic Inversion Control to a Multi-rotor","authors":"Li-Yu Lin, James Goppert, Inseok Hwang","doi":"arxiv-2409.10866","DOIUrl":null,"url":null,"abstract":"This paper presents an approach that employs log-linearization in Lie group\ntheory and the Newton-Euler equations to derive exact linear error dynamics for\na multi-rotor model, and applies this model with a novel log-linear dynamic\ninversion controller to simplify the nonlinear distortion and enhance the\nrobustness of the log-linearized system. In addition, we utilize Linear Matrix\nInequalities (LMIs) to bound the tracking error for the log-linearization in\nthe presence of bounded disturbance input and use the exponential map to\ncompute the invariant set of the nonlinear system in the Lie group. We\ndemonstrate the effectiveness of our method via an illustrative example of a\nmulti-rotor system with a reference trajectory, and the result validates the\nsafety guarantees of the tracking error in the presence of bounded disturbance.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":"31 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10866","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 presents an approach that employs log-linearization in Lie group
theory and the Newton-Euler equations to derive exact linear error dynamics for
a multi-rotor model, and applies this model with a novel log-linear dynamic
inversion controller to simplify the nonlinear distortion and enhance the
robustness of the log-linearized system. In addition, we utilize Linear Matrix
Inequalities (LMIs) to bound the tracking error for the log-linearization in
the presence of bounded disturbance input and use the exponential map to
compute the invariant set of the nonlinear system in the Lie group. We
demonstrate the effectiveness of our method via an illustrative example of a
multi-rotor system with a reference trajectory, and the result validates the
safety guarantees of the tracking error in the presence of bounded disturbance.