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Robust fault detection and isolation for uncertain neutral time-delay systems using a geometric approach.
Hou, Yandong; Zhang, Zhiheng; Yan, Jiayuan; Chen, Zhengquan.
Afiliação
  • Hou Y; School of Artificial Intelligence, Henan University, Zhengzhou 450046, China. Electronic address: hydong@henu.edu.cn.
  • Zhang Z; School of Artificial Intelligence, Henan University, Zhengzhou 450046, China. Electronic address: zhzhang@henu.edu.cn.
  • Yan J; School of Artificial Intelligence, Henan University, Zhengzhou 450046, China. Electronic address: jyyan@henu.edu.cn.
  • Chen Z; School of Computer and Information Engineering, Henan University, Kaifeng 475004, China. Electronic address: zqchen@vip.henu.edu.cn.
ISA Trans ; 151: 232-242, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38821851
ABSTRACT
This paper proposes a new geometric fault detection and isolation (FDI) strategy for uncertain neutral time-delay systems (UNTDS). Firstly, the concept of unobservability subspace is extended to the considered system. Subsequently, utilizing the geometric properties of factor space and canonical projection, the fault is divided into different unobservability subspaces. Therefore, an algorithm for constructing the subspace is developed for fault isolation. Finally, a set of observers is designed for the subsystems, and generates a set of structured residuals which is sensitive only to a specific fault. Additionally, the H∞ technique is utilized to suppress the disturbances and error signals due to time-varying delays on the residual. The simulation examples verify the effectiveness of the proposed approach.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ISA Trans Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ISA Trans Ano de publicação: 2024 Tipo de documento: Article