Active Fault Tolerant Control Based on Bond Graph Approach-Reference-Cited by-同舟云学术

Active Fault Tolerant Control Based on Bond Graph Approach

Published:2014-11-10 Issue: Volume:2014 Page:1-8
ISSN:2356-6655
Container-title:Advances in Electrical Engineering
language:en
Short-container-title:Advances in Electrical Engineering

Author:

Allous Manel¹,Zanzouri Nadia¹²

Affiliation:

1. Department of Electrical Engineering, LACS Laboratory, National Engineering School of Tunis, Université de Tunis El Manar, P.O. Box 37, Le Belvedere, 1002 Tunis, Tunisia

2. Preparatory Engineering Institute of Tunis 2, Université de Tunis, Rue Jawaher Lel Nahrou-Monfleury, 1089 Tunis, Tunisia

Abstract

This paper proposes a structural fault recoverability analysis using the bond graph (BG) approach. Indeed, this tool enables structural analysis for diagnosis and fault tolerant control (FTC). For the FTC, we propose an approach based on the inverse control using the inverse BG. The fault tolerant control method is also compared with another approach. Finally, simulation results are presented to show the performance of the proposed approach.

Publisher

Hindawi Limited

Link

http://downloads.hindawi.com/archive/2014/216153.pdf

Reference23 articles.

1. Fault detection and isolation and fault tolerant control of a catalytic alkylation of benzene process

2. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy

3. Fault detection and isolation using parity relations

4. LUBRES: An expert system development and implementation for real-time fault diagnosis of a lubricating oil refining process

5. Reliable robust flight tracking control: an LMI approach

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fault Tolerant Control;Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis;2020-12-18

2. Integrating Bond Graph-Based Fault Diagnosis and Fault Accommodation Through Inverse Simulation;Bond Graphs for Modelling, Control and Fault Diagnosis of Engineering Systems;2017