{"title":"多飞行器系统的轨迹规划与控制","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":"{\"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}","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}
Trajectory planning and control for multiple-vehicles systems
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.