Mostafa Ezabadi, Seyyed Ali Emami, Seid H. Pourtakdoust, Nima Assadian
{"title":"具有时变惯性矩和输入约束的航天器定时容错控制","authors":"Mostafa Ezabadi, Seyyed Ali Emami, Seid H. Pourtakdoust, Nima Assadian","doi":"10.1016/j.jfranklin.2025.107872","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a prescribed-time attitude control framework for spacecraft with a deployable panel, addressing key challenges such as input saturation, actuator faults, and time-varying inertia. Unlike conventional approaches that require precise knowledge of inertial dynamics, the proposed method relies only on known upper bounds of the inertia matrix and panel deployment rate, enabling robust performance in the presence of parametric uncertainty. The control strategy is built upon a command-filtered backstepping architecture, which eliminates the explosion of terms commonly encountered in traditional backstepping by approximating virtual control derivatives through first-order filter with time-varying gains. To compensate for the approximation errors introduced by the filters, auxiliary variables are incorporated into the controller. Furthermore, a compensation term inspired by the modified tracking error concept is embedded into these auxiliary variables to decouple the control input from the effects of actuator faults and input saturation. This structure improves fault tolerance and ensures stable performance even under constrained actuation. The prescribed-time stability of the closed-loop system is rigorously established using Lyapunov-based analysis. Simulation results confirm that the proposed controller drives tracking errors to zero within the user-defined time, even in the presence of time-varying moments of inertia, input saturation, and multiple faults. Sensitivity analyses reveal fundamental trade-offs between convergence time and actuator limitations, and demonstrate the controller’s robustness across a wide range of initial conditions. Comparative evaluations show that the proposed method outperforms existing strategies in tracking accuracy, fault resilience, and robustness under concurrent disturbances and constraints.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 13","pages":"Article 107872"},"PeriodicalIF":3.7000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prescribed-time fault-tolerant control of a spacecraft with time-varying moments of inertia and input constraint\",\"authors\":\"Mostafa Ezabadi, Seyyed Ali Emami, Seid H. Pourtakdoust, Nima Assadian\",\"doi\":\"10.1016/j.jfranklin.2025.107872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper presents a prescribed-time attitude control framework for spacecraft with a deployable panel, addressing key challenges such as input saturation, actuator faults, and time-varying inertia. Unlike conventional approaches that require precise knowledge of inertial dynamics, the proposed method relies only on known upper bounds of the inertia matrix and panel deployment rate, enabling robust performance in the presence of parametric uncertainty. The control strategy is built upon a command-filtered backstepping architecture, which eliminates the explosion of terms commonly encountered in traditional backstepping by approximating virtual control derivatives through first-order filter with time-varying gains. To compensate for the approximation errors introduced by the filters, auxiliary variables are incorporated into the controller. Furthermore, a compensation term inspired by the modified tracking error concept is embedded into these auxiliary variables to decouple the control input from the effects of actuator faults and input saturation. This structure improves fault tolerance and ensures stable performance even under constrained actuation. The prescribed-time stability of the closed-loop system is rigorously established using Lyapunov-based analysis. Simulation results confirm that the proposed controller drives tracking errors to zero within the user-defined time, even in the presence of time-varying moments of inertia, input saturation, and multiple faults. Sensitivity analyses reveal fundamental trade-offs between convergence time and actuator limitations, and demonstrate the controller’s robustness across a wide range of initial conditions. Comparative evaluations show that the proposed method outperforms existing strategies in tracking accuracy, fault resilience, and robustness under concurrent disturbances and constraints.</div></div>\",\"PeriodicalId\":17283,\"journal\":{\"name\":\"Journal of The Franklin Institute-engineering and Applied Mathematics\",\"volume\":\"362 13\",\"pages\":\"Article 107872\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The Franklin Institute-engineering and Applied Mathematics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0016003225003655\",\"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":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225003655","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-time fault-tolerant control of a spacecraft with time-varying moments of inertia and input constraint
This paper presents a prescribed-time attitude control framework for spacecraft with a deployable panel, addressing key challenges such as input saturation, actuator faults, and time-varying inertia. Unlike conventional approaches that require precise knowledge of inertial dynamics, the proposed method relies only on known upper bounds of the inertia matrix and panel deployment rate, enabling robust performance in the presence of parametric uncertainty. The control strategy is built upon a command-filtered backstepping architecture, which eliminates the explosion of terms commonly encountered in traditional backstepping by approximating virtual control derivatives through first-order filter with time-varying gains. To compensate for the approximation errors introduced by the filters, auxiliary variables are incorporated into the controller. Furthermore, a compensation term inspired by the modified tracking error concept is embedded into these auxiliary variables to decouple the control input from the effects of actuator faults and input saturation. This structure improves fault tolerance and ensures stable performance even under constrained actuation. The prescribed-time stability of the closed-loop system is rigorously established using Lyapunov-based analysis. Simulation results confirm that the proposed controller drives tracking errors to zero within the user-defined time, even in the presence of time-varying moments of inertia, input saturation, and multiple faults. Sensitivity analyses reveal fundamental trade-offs between convergence time and actuator limitations, and demonstrate the controller’s robustness across a wide range of initial conditions. Comparative evaluations show that the proposed method outperforms existing strategies in tracking accuracy, fault resilience, and robustness under concurrent disturbances and constraints.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.