Zhipeng Liu , Qingtao Gong , Xin Hu , Guibing Zhu , Sheng Guo , Binjie Ma , Xin Li
{"title":"船舶输入饱和条件下具有抗扰特性的固定时间编队控制。","authors":"Zhipeng Liu , Qingtao Gong , Xin Hu , Guibing Zhu , Sheng Guo , Binjie Ma , Xin Li","doi":"10.1016/j.isatra.2025.05.032","DOIUrl":null,"url":null,"abstract":"<div><div>This paper addresses the practical fixed-time disturbance rejection formation control problem for marine vehicles under input saturation effects. First, a novel practical fixed-time stability lemma is established. A practical fixed-time disturbance observer which is independent of initial estimation errors is developed to estimate ocean disturbances within a fixed-time interval. Then, considering the susceptibility of control forces to saturation resulting from fixed-time control strategies, the input saturation effects are reduced by correcting the control error online through the state vector of the constructed practical fixed-time auxiliary dynamic filter. Furthermore, through the utilization of the vectorial backstepping, the practical fixed-time disturbance rejection anti-saturation formation controller is derived with the first-order filter being incorporated to overcome the differential explosion. Theoretical analysis demonstrates that the proposed control method enables the follower vehicle to effectively track the leader vehicle while ensuring stability in all states within a fixed settling time, independent of the follower’s initial states. Finally, simulation results are presented to validate the effectiveness of our developed control scheme.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"164 ","pages":"Pages 100-115"},"PeriodicalIF":6.5000,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Practical fixed-time formation control with disturbance rejection for marine vehicles under input saturation\",\"authors\":\"Zhipeng Liu , Qingtao Gong , Xin Hu , Guibing Zhu , Sheng Guo , Binjie Ma , Xin Li\",\"doi\":\"10.1016/j.isatra.2025.05.032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper addresses the practical fixed-time disturbance rejection formation control problem for marine vehicles under input saturation effects. First, a novel practical fixed-time stability lemma is established. A practical fixed-time disturbance observer which is independent of initial estimation errors is developed to estimate ocean disturbances within a fixed-time interval. Then, considering the susceptibility of control forces to saturation resulting from fixed-time control strategies, the input saturation effects are reduced by correcting the control error online through the state vector of the constructed practical fixed-time auxiliary dynamic filter. Furthermore, through the utilization of the vectorial backstepping, the practical fixed-time disturbance rejection anti-saturation formation controller is derived with the first-order filter being incorporated to overcome the differential explosion. Theoretical analysis demonstrates that the proposed control method enables the follower vehicle to effectively track the leader vehicle while ensuring stability in all states within a fixed settling time, independent of the follower’s initial states. Finally, simulation results are presented to validate the effectiveness of our developed control scheme.</div></div>\",\"PeriodicalId\":14660,\"journal\":{\"name\":\"ISA transactions\",\"volume\":\"164 \",\"pages\":\"Pages 100-115\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2025-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISA transactions\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0019057825002666\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825002666","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Practical fixed-time formation control with disturbance rejection for marine vehicles under input saturation
This paper addresses the practical fixed-time disturbance rejection formation control problem for marine vehicles under input saturation effects. First, a novel practical fixed-time stability lemma is established. A practical fixed-time disturbance observer which is independent of initial estimation errors is developed to estimate ocean disturbances within a fixed-time interval. Then, considering the susceptibility of control forces to saturation resulting from fixed-time control strategies, the input saturation effects are reduced by correcting the control error online through the state vector of the constructed practical fixed-time auxiliary dynamic filter. Furthermore, through the utilization of the vectorial backstepping, the practical fixed-time disturbance rejection anti-saturation formation controller is derived with the first-order filter being incorporated to overcome the differential explosion. Theoretical analysis demonstrates that the proposed control method enables the follower vehicle to effectively track the leader vehicle while ensuring stability in all states within a fixed settling time, independent of the follower’s initial states. Finally, simulation results are presented to validate the effectiveness of our developed control scheme.
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.