{"title":"Noncolocated Passivity-Based Control of a 2 DOF Tower Crane with a Flexible Hoist Cable","authors":"P. Shen, R. Caverly","doi":"10.23919/ACC45564.2020.9147965","DOIUrl":null,"url":null,"abstract":"This paper presents a dynamic model of a two-dimensional tower crane, including a Rayleigh-Ritz discretization of the crane’s flexible hoist cable, and proposes a passivity-based control approach for payload trajectory tracking using the µ-tip rate. It is assumed that the crane’s payload is massive, which allows for a decoupling of the rigid and elastic system dynamics. It is shown that the crane features a passive input-output mapping from modified force and torque inputs to a modified output formed using the position and velocity tracking errors of the payload. An input strictly passive derivative controller is proposed, which results in the velocity tracking error and the µ-tip position error of the payload converging to zero. A numerical example is presented that demonstrates the controller’s performance when the payload is to track an agile trajectory.","PeriodicalId":288450,"journal":{"name":"2020 American Control Conference (ACC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC45564.2020.9147965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a dynamic model of a two-dimensional tower crane, including a Rayleigh-Ritz discretization of the crane’s flexible hoist cable, and proposes a passivity-based control approach for payload trajectory tracking using the µ-tip rate. It is assumed that the crane’s payload is massive, which allows for a decoupling of the rigid and elastic system dynamics. It is shown that the crane features a passive input-output mapping from modified force and torque inputs to a modified output formed using the position and velocity tracking errors of the payload. An input strictly passive derivative controller is proposed, which results in the velocity tracking error and the µ-tip position error of the payload converging to zero. A numerical example is presented that demonstrates the controller’s performance when the payload is to track an agile trajectory.