Modeling And Diagnosis of Avionic Systems by Hybrid Automata Using Stateflow - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Modeling And Diagnosis of Avionic Systems by Hybrid Automata Using Stateflow

Résumé

This article concerns the detection and diagnosis of avionic system failures. The aim is the implementation of a fault diagnostic tool using hybrid automata. An Efficient diagnosis technique must be adopted to detect, isolate faults. A simple process is used to demonstrate the modelling steps and adopt the time analysis method to reach the diagnosis results. The proposed diagnostic model is implemented in MATLAB by using State flow toolbox to describe the discrete part coordinated with Matlab-Simulink for continuous part. In this paper, the different proposed models are detailed in studying a four-tank system.
Fichier non déposé

Dates et versions

hal-04271424 , version 1 (06-11-2023)

Identifiants

Citer

Ihem Hnayen, Hedi Dhouibi, Zineb Simeu-Abazi, Eric Gascard. Modeling And Diagnosis of Avionic Systems by Hybrid Automata Using Stateflow. 2023 International Conference on Control, Automation and Diagnosis (ICCAD), May 2023, Rome, Italy. pp.1-5, ⟨10.1109/ICCAD57653.2023.10152427⟩. ⟨hal-04271424⟩
19 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More