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<p>This research addresses an event-triggered fault-tolerant impulsive sliding mode control scheme that ensures fixed-time attitude synchronization between two non-identical satellites. The designed controller works based on an event-triggered linear feedback law which acts as a single estimator for the unknown dynamics as well as two types of actuator fault. Firstly, the sliding surface functions with delayed impulse are defined in a way that the system’s response becomes rapid in the presence of both small and large errors. Secondly, the proposed optimal weight constant minimizes the approximation error and provides an optimized approximation process. Furthermore, utilizing the generalized error dynamics and the proposed reaching law, the system’s stability is shown by Lyapunov analysis. Finally, the controller’s efficiency is confirmed by conducting two numerical simulation results.</p>

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Generalized regression neural network-based impulsive event-triggered attitude tracking control for non-identical satellite systems under actuator faults

  • 期刊论文

  • 发表日期：

    2025年4月26日

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  • Kuntal Dhara,
  • Santanu Mandal

摘要

This research addresses an event-triggered fault-tolerant impulsive sliding mode control scheme that ensures fixed-time attitude synchronization between two non-identical satellites. The designed controller works based on an event-triggered linear feedback law which acts as a single estimator for the unknown dynamics as well as two types of actuator fault. Firstly, the sliding surface functions with delayed impulse are defined in a way that the system’s response becomes rapid in the presence of both small and large errors. Secondly, the proposed optimal weight constant minimizes the approximation error and provides an optimized approximation process. Furthermore, utilizing the generalized error dynamics and the proposed reaching law, the system’s stability is shown by Lyapunov analysis. Finally, the controller’s efficiency is confirmed by conducting two numerical simulation results.