{"title":"Trajectory planning and control for multiple-vehicles systems","authors":"A. K. Pamosoaji, K. Hong, S. Ge","doi":"10.1109/URAI.2011.6145864","DOIUrl":null,"url":null,"abstract":"Algorithms for trajectory planning and control for a multiple-vehicles system are investigated. An issue of designing collision-free trajectories on a group of crossing paths is tackled. The trajectories are modeled as a set of via-points coupled with their associated achieving time. Furthermore, a tracking controller design dealing with actuators constraints and all via points' achieve times is proposed. By applying the controller, each vehicle is guaranteed to get closer to the desired via-points without any obstacle-avoidance motions. Simulation results showing the generated trajectories and tracking performance is presented.","PeriodicalId":385925,"journal":{"name":"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2011.6145864","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
Algorithms for trajectory planning and control for a multiple-vehicles system are investigated. An issue of designing collision-free trajectories on a group of crossing paths is tackled. The trajectories are modeled as a set of via-points coupled with their associated achieving time. Furthermore, a tracking controller design dealing with actuators constraints and all via points' achieve times is proposed. By applying the controller, each vehicle is guaranteed to get closer to the desired via-points without any obstacle-avoidance motions. Simulation results showing the generated trajectories and tracking performance is presented.