{"title":"Dealing with the Constraints in Multibody Systems Dynamics","authors":"Yuchen Zhou, Y. Stepanenko","doi":"10.1109/AEROCS.1993.720988","DOIUrl":null,"url":null,"abstract":"In this paper, an iterative method is presented for handling the constraints in multibody systems. Using this method, a constrained multibody system is treated as a group of free bodies moving under the constraint forces as well as external driving forces. Therefore the representation of system dynamics is very simple. A convergent iteration process is proposed for computing the constraint forces. This process can be deduced from Gauss Principle of Least Constraint. It not only minimizes the constraint forces in the sense of LSQ, but also vanishes system constraint error. Hence the motion obtained must be the actual one, and the stabilization of constraints is achieved in a fairly natural way.","PeriodicalId":170527,"journal":{"name":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEROCS.1993.720988","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
In this paper, an iterative method is presented for handling the constraints in multibody systems. Using this method, a constrained multibody system is treated as a group of free bodies moving under the constraint forces as well as external driving forces. Therefore the representation of system dynamics is very simple. A convergent iteration process is proposed for computing the constraint forces. This process can be deduced from Gauss Principle of Least Constraint. It not only minimizes the constraint forces in the sense of LSQ, but also vanishes system constraint error. Hence the motion obtained must be the actual one, and the stabilization of constraints is achieved in a fairly natural way.