{"title":"基于LTVMPC的自主水下航行器动态定位","authors":"Yuheng Chen, Yougang Bian, Qingjia Cui, Lisheng Dong, Biao Xu, Manjiang Hu","doi":"10.1109/CVCI54083.2021.9661196","DOIUrl":null,"url":null,"abstract":"Autonomous Underwater Vehicles (AUVs) need to keep the orientation and position in a dynamic positioning task against ocean currents. Then, a dynamic positioning controller combining linear time-varying model predictive control (LTVMPC) and integral sliding mode control (ISMC) is proposed. The LTVMPC is used to achieve optimal control considering input and output constraints, while the ISMC is adopted to reject external disturbances to improve robustness. Finally, numerical simulations validate the performance of the proposed dynamic positioning controller through a comparison with nonlinear MPC (NMPC) and LTVMPC without ISMC.","PeriodicalId":419836,"journal":{"name":"2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"LTVMPC for Dynamic Positioning of An Autonomous Underwater Vehicle\",\"authors\":\"Yuheng Chen, Yougang Bian, Qingjia Cui, Lisheng Dong, Biao Xu, Manjiang Hu\",\"doi\":\"10.1109/CVCI54083.2021.9661196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Autonomous Underwater Vehicles (AUVs) need to keep the orientation and position in a dynamic positioning task against ocean currents. Then, a dynamic positioning controller combining linear time-varying model predictive control (LTVMPC) and integral sliding mode control (ISMC) is proposed. The LTVMPC is used to achieve optimal control considering input and output constraints, while the ISMC is adopted to reject external disturbances to improve robustness. Finally, numerical simulations validate the performance of the proposed dynamic positioning controller through a comparison with nonlinear MPC (NMPC) and LTVMPC without ISMC.\",\"PeriodicalId\":419836,\"journal\":{\"name\":\"2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVCI54083.2021.9661196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVCI54083.2021.9661196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LTVMPC for Dynamic Positioning of An Autonomous Underwater Vehicle
Autonomous Underwater Vehicles (AUVs) need to keep the orientation and position in a dynamic positioning task against ocean currents. Then, a dynamic positioning controller combining linear time-varying model predictive control (LTVMPC) and integral sliding mode control (ISMC) is proposed. The LTVMPC is used to achieve optimal control considering input and output constraints, while the ISMC is adopted to reject external disturbances to improve robustness. Finally, numerical simulations validate the performance of the proposed dynamic positioning controller through a comparison with nonlinear MPC (NMPC) and LTVMPC without ISMC.