Observer-Based Sensor Fault-Tolerant Control With Prescribed Tracking Performance for a Class of Nonlinear Systems

• 成果类型: Article
• 署名作者: Habibi, Hamed; Yazdani, Amirmehdi; Darouach, Mohamed; Wang, Hai; Fernando, Tyrone; Howard, Ian
• 署名单位: University of Luxembourg; Murdoch University; Universite de Lorraine; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); University of Western Australia; Curtin University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3296494
• 发表日期: 2023
• 页码: 8259-8266
• 关键词: Adaptive sliding mode observer (ASMO); Barrier Lyapunov function (BLF); Constrained control; prescribed performance bound (PPB); sensor fault; tracking control

摘要

In this note, a robust output feedback fault-tolerant control for a high-performance tracking problem of a Lipschitz nonlinear system under simultaneous sensor fault and disturbance is developed. The proposed scheme includes the design of an adaptive sliding mode observer, which recovers the separation principle. A tangent-type barrier Lyapunov function is incorporated in the backstepping framework to maintain the system states in a prescribed performance bound. Moreover, the unknown estimation error is taken into account. Furthermore, the bounded initial condition assumption is relaxed by defining a time variable bound. The effectiveness of the proposed solution is numerically examined on a dc motor model.