Convex Fault Diagnosis of a Three-Degree-of-Freedom Mechanical Crane

Autor: Julio Guzmán-Rabasa, Francisco Rodríguez, Guillermo Valencia-Palomo, Ildeberto Santos-Ruiz, Samuel Gómez-Peñate, Francisco-Ronay López-Estrada
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Mathematics, Vol 11, Iss 20, p 4258 (2023)
Druh dokumentu: article
ISSN: 2227-7390
DOI: 10.3390/math11204258
Popis: This paper presents a fault detection and estimation method based on a proportional-integral observer applied to a three-degree-of-freedom mechanical crane. Faults are common in this system and can provoke oscillations that generate a loss of performance and stability. A convex linear parameter varying approach is proposed to stabilize the crane and detect and isolate actuator faults to guarantee the crane’s performance. The linear matrix inequalities obtained from candidate Lyapunov functions give sufficient conditions to guarantee the fault estimation method. Finally, numerical simulations are proposed to illustrate the method’s performance and applicability.
Databáze: Directory of Open Access Journals
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