{"title":"Dynamic Analysis and Optimization of Parallel Manipulator","authors":"Jianxin Wu, Xiaojun Yang","doi":"10.1109/AICI.2009.10","DOIUrl":null,"url":null,"abstract":"Electromechanical coupling dynamic model of parallel manipulator is a kind of a complicated electrome- chanical system which is multi-input, multi-output, nonlinear and strong coupling, There is not a perfect method to calculate dynamic modeling and simulation of parallel manipulator at present. 6UPS-parallel manipulator dynamic model was set up by Lagrange method; PID position controller was designed; the controller parameters were optimized by inertia weight adaptive particle swarm optimization in the article. It was proved that the modeling of electromechanical coupling dynamic model was right and the manipulator was controlled well by the controller through the simulation result of computer","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"34 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Artificial Intelligence and Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICI.2009.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Electromechanical coupling dynamic model of parallel manipulator is a kind of a complicated electrome- chanical system which is multi-input, multi-output, nonlinear and strong coupling, There is not a perfect method to calculate dynamic modeling and simulation of parallel manipulator at present. 6UPS-parallel manipulator dynamic model was set up by Lagrange method; PID position controller was designed; the controller parameters were optimized by inertia weight adaptive particle swarm optimization in the article. It was proved that the modeling of electromechanical coupling dynamic model was right and the manipulator was controlled well by the controller through the simulation result of computer