{"title":"Thruster Fault Tolerant Control Scheme for 4500-m Human Occupied Vehicle","authors":"Ming Huang, Daqi Zhu, Zhenzhong Chu","doi":"10.1109/SAFEPROCESS45799.2019.9213245","DOIUrl":null,"url":null,"abstract":"In this paper, a thruster fault tolerant control combines with trajectory tracking control method is applied for 4500-m Human Occupied Vehicle. First, the tracking control method and thruster configuration of a human occupied vehicle with 4500m operation depth is simply introduced. Then control allocation problem of underwater vehicle is described, thruster forces reconstructed during control allocation. Finally, introduce a hybrid fault tolerant control method, this hybrid method is designed based on weighted pseudo-inverse matrixes and quantum particle swarm optimization (QPSO), compared with the classical weighted pseudo-inverse fault tolerant control, and simulations results illustrate the performance of the thruster fault tolerant control strategy.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213245","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, a thruster fault tolerant control combines with trajectory tracking control method is applied for 4500-m Human Occupied Vehicle. First, the tracking control method and thruster configuration of a human occupied vehicle with 4500m operation depth is simply introduced. Then control allocation problem of underwater vehicle is described, thruster forces reconstructed during control allocation. Finally, introduce a hybrid fault tolerant control method, this hybrid method is designed based on weighted pseudo-inverse matrixes and quantum particle swarm optimization (QPSO), compared with the classical weighted pseudo-inverse fault tolerant control, and simulations results illustrate the performance of the thruster fault tolerant control strategy.