{"title":"未知时变控制方向和执行器故障下非线性系统的预定性能跟踪控制","authors":"Teng-Fei Fang, Huimin Wang, Guang-Hong Yang","doi":"10.1002/rnc.7893","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This article investigates the prescribed performance control (PPC) problem for a class of uncertain strict-feedback systems with unknown time-varying control direction and actuator faults. A low-complexity control scheme which contains a novel control direction determination approach is proposed herein. Compared with the mainstream methods such as the Nussbaum gain and parameter estimation, the newly proposed scheme overcomes the challenge of the unknown time-varying control direction caused by actuator faults in the controller design. First, a distance function is defined, upon which a mechanism for identifying the control direction is developed. Combined with the PPC-based control law, a state feedback fault-tolerant control scheme for strict-feedback systems under unknown time-varying control coefficient is designed. Subsequently, utilizing the idea of proof by contradiction, it has been proven that under this scheme, the system tracking error can be maintained within the predefined performance criteria, while ensuring the boundedness of any closed-loop signals. Lastly, the effectiveness and merits of the proposed scheme under unknown time-varying control direction and conventional unknown control direction are verified by two sets of simulation examples, respectively.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3906-3918"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prescribed Performance Tracking Control of Nonlinear Systems Under Unknown Time-Varying Control Direction and Actuator Faults\",\"authors\":\"Teng-Fei Fang, Huimin Wang, Guang-Hong Yang\",\"doi\":\"10.1002/rnc.7893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>This article investigates the prescribed performance control (PPC) problem for a class of uncertain strict-feedback systems with unknown time-varying control direction and actuator faults. A low-complexity control scheme which contains a novel control direction determination approach is proposed herein. Compared with the mainstream methods such as the Nussbaum gain and parameter estimation, the newly proposed scheme overcomes the challenge of the unknown time-varying control direction caused by actuator faults in the controller design. First, a distance function is defined, upon which a mechanism for identifying the control direction is developed. Combined with the PPC-based control law, a state feedback fault-tolerant control scheme for strict-feedback systems under unknown time-varying control coefficient is designed. Subsequently, utilizing the idea of proof by contradiction, it has been proven that under this scheme, the system tracking error can be maintained within the predefined performance criteria, while ensuring the boundedness of any closed-loop signals. Lastly, the effectiveness and merits of the proposed scheme under unknown time-varying control direction and conventional unknown control direction are verified by two sets of simulation examples, respectively.</p>\\n </div>\",\"PeriodicalId\":50291,\"journal\":{\"name\":\"International Journal of Robust and Nonlinear Control\",\"volume\":\"35 9\",\"pages\":\"3906-3918\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Robust and Nonlinear Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7893\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7893","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Prescribed Performance Tracking Control of Nonlinear Systems Under Unknown Time-Varying Control Direction and Actuator Faults
This article investigates the prescribed performance control (PPC) problem for a class of uncertain strict-feedback systems with unknown time-varying control direction and actuator faults. A low-complexity control scheme which contains a novel control direction determination approach is proposed herein. Compared with the mainstream methods such as the Nussbaum gain and parameter estimation, the newly proposed scheme overcomes the challenge of the unknown time-varying control direction caused by actuator faults in the controller design. First, a distance function is defined, upon which a mechanism for identifying the control direction is developed. Combined with the PPC-based control law, a state feedback fault-tolerant control scheme for strict-feedback systems under unknown time-varying control coefficient is designed. Subsequently, utilizing the idea of proof by contradiction, it has been proven that under this scheme, the system tracking error can be maintained within the predefined performance criteria, while ensuring the boundedness of any closed-loop signals. Lastly, the effectiveness and merits of the proposed scheme under unknown time-varying control direction and conventional unknown control direction are verified by two sets of simulation examples, respectively.
期刊介绍:
Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.