{"title":"无人驾驶水面飞行器的故障检测:模糊多处理器实现","authors":"Xiang Zhang;Shuping He;Zhihuan Hu;Ruonan Liu;Hongtian Chen;Weidong Zhang","doi":"10.1109/TFUZZ.2024.3450687","DOIUrl":null,"url":null,"abstract":"In this article, we study the fault detection problem of unmanned surface vehicles through the implementation of fuzzy multiprocessors. By employing the Takagi–Sugeno fuzzy technique, the linear approximation of unmanned surface vehicles is obtained, and a fuzzy multiprocessor architecture is proposed to estimate the state of unmanned surface vehicles. With the residual signal generated by multiprocessors, a detection logic is designed to realize the fault detection. Based on the Lyapunov method, sufficient conditions are given to ensure that the error dynamic system is asymptotically stable and meets the given \n<inline-formula><tex-math>$H_{\\infty }$</tex-math></inline-formula>\n and \n<inline-formula><tex-math>$H\\_$</tex-math></inline-formula>\n performance. Assisted by genetic algorithms, a two-step optimization algorithm is proposed to optimize the mixed \n<inline-formula><tex-math>$H_{\\infty }$</tex-math></inline-formula>\n and \n<inline-formula><tex-math>$H\\_$</tex-math></inline-formula>\n performance. Finally, case studies are provided to verify the effectiveness and superiority of the proposed method.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 11","pages":"6573-6582"},"PeriodicalIF":10.7000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation\",\"authors\":\"Xiang Zhang;Shuping He;Zhihuan Hu;Ruonan Liu;Hongtian Chen;Weidong Zhang\",\"doi\":\"10.1109/TFUZZ.2024.3450687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we study the fault detection problem of unmanned surface vehicles through the implementation of fuzzy multiprocessors. By employing the Takagi–Sugeno fuzzy technique, the linear approximation of unmanned surface vehicles is obtained, and a fuzzy multiprocessor architecture is proposed to estimate the state of unmanned surface vehicles. With the residual signal generated by multiprocessors, a detection logic is designed to realize the fault detection. Based on the Lyapunov method, sufficient conditions are given to ensure that the error dynamic system is asymptotically stable and meets the given \\n<inline-formula><tex-math>$H_{\\\\infty }$</tex-math></inline-formula>\\n and \\n<inline-formula><tex-math>$H\\\\_$</tex-math></inline-formula>\\n performance. Assisted by genetic algorithms, a two-step optimization algorithm is proposed to optimize the mixed \\n<inline-formula><tex-math>$H_{\\\\infty }$</tex-math></inline-formula>\\n and \\n<inline-formula><tex-math>$H\\\\_$</tex-math></inline-formula>\\n performance. Finally, case studies are provided to verify the effectiveness and superiority of the proposed method.\",\"PeriodicalId\":13212,\"journal\":{\"name\":\"IEEE Transactions on Fuzzy Systems\",\"volume\":\"32 11\",\"pages\":\"6573-6582\"},\"PeriodicalIF\":10.7000,\"publicationDate\":\"2024-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Fuzzy Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10740401/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Fuzzy Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10740401/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation
In this article, we study the fault detection problem of unmanned surface vehicles through the implementation of fuzzy multiprocessors. By employing the Takagi–Sugeno fuzzy technique, the linear approximation of unmanned surface vehicles is obtained, and a fuzzy multiprocessor architecture is proposed to estimate the state of unmanned surface vehicles. With the residual signal generated by multiprocessors, a detection logic is designed to realize the fault detection. Based on the Lyapunov method, sufficient conditions are given to ensure that the error dynamic system is asymptotically stable and meets the given
$H_{\infty }$
and
$H\_$
performance. Assisted by genetic algorithms, a two-step optimization algorithm is proposed to optimize the mixed
$H_{\infty }$
and
$H\_$
performance. Finally, case studies are provided to verify the effectiveness and superiority of the proposed method.
期刊介绍:
The IEEE Transactions on Fuzzy Systems is a scholarly journal that focuses on the theory, design, and application of fuzzy systems. It aims to publish high-quality technical papers that contribute significant technical knowledge and exploratory developments in the field of fuzzy systems. The journal particularly emphasizes engineering systems and scientific applications. In addition to research articles, the Transactions also includes a letters section featuring current information, comments, and rebuttals related to published papers.