Sensor Fault Detection for LPV Systems Using Interval Observers

Autor: Jorge Yusef Colin-Castillo, Gloria Lilia Osorio-Gordillo, Vicenc Puig, Rodolfo Amalio Vargas-Mendez, Gerardo Vicente Guerrero-Ramirez, Juan Reyes-Reyes, Carlos Manuel Astorga-Zaragoza
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: IEEE Access, Vol 12, Pp 93701-93710 (2024)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2024.3423722
Popis: This paper presents an approach for design a continuous-time interval observer for linear parameter varying (LPV) systems in the presence of disturbances that are considered unknown but bounded. The proposed observer is used for the design of a sensor fault detection scheme using the input to state stability (ISS) approach through a Lyapunov quadratic function. The conditions of stability and positivity are presented by a set of linear matrix inequalities (LMIs). The performance of the proposed method is shown in simulation using a case study based on a single-link flexible joint robotic system.
Databáze: Directory of Open Access Journals