A novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation

This article presents the development of a novel fault-tolerant control strategy. For this task, a bicausal bond graph model-based scheme is designed to generate online information to the inverse controller about the faults estimation. Secondly, a new approach is proposed for the fault-tolerant cont...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yacine Lounici, Youcef Touati, Smail Adjerid, Djamel Benazzouz, Billal Nazim Chebouba
Formato: article
Lenguaje:EN
Publicado: SAGE Publishing 2021
Materias:
Acceso en línea:https://doaj.org/article/79bf30e24603424b95de70e782160977
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:79bf30e24603424b95de70e782160977
record_format dspace
spelling oai:doaj.org-article:79bf30e24603424b95de70e7821609772021-11-11T01:33:33ZA novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation1687-814010.1177/16878140211059878https://doaj.org/article/79bf30e24603424b95de70e7821609772021-11-01T00:00:00Zhttps://doi.org/10.1177/16878140211059878https://doaj.org/toc/1687-8140This article presents the development of a novel fault-tolerant control strategy. For this task, a bicausal bond graph model-based scheme is designed to generate online information to the inverse controller about the faults estimation. Secondly, a new approach is proposed for the fault-tolerant control based on the inverse bicausal bond graph in linear fractional transformation form. However, because of the time delay for fault estimation, the PI controller is used to reduce the error before the fault is estimated. Hence, the required input that compensates the fault is the sum of the control signal delivered by the PI controller and the control signal resulting from the inverse bicausal bond graph for fast fault compensation and for maintaining the control objectives. The novelties of the proposed approach are: (1) to exploit the power concept of the bond graph by feeding the power generated by the fault in the inverse model (2) to suitably combining the inverse bicausal bond graph with the PI feedback controller so that the proposed strategy can compensate for the fault with a very short time delay and stabilize the desired output. Finally, the experimental results illustrate the efficiency of the proposed strategy.Yacine LouniciYoucef TouatiSmail AdjeridDjamel BenazzouzBillal Nazim CheboubaSAGE PublishingarticleMechanical engineering and machineryTJ1-1570ENAdvances in Mechanical Engineering, Vol 13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Mechanical engineering and machinery
TJ1-1570
spellingShingle Mechanical engineering and machinery
TJ1-1570
Yacine Lounici
Youcef Touati
Smail Adjerid
Djamel Benazzouz
Billal Nazim Chebouba
A novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation
description This article presents the development of a novel fault-tolerant control strategy. For this task, a bicausal bond graph model-based scheme is designed to generate online information to the inverse controller about the faults estimation. Secondly, a new approach is proposed for the fault-tolerant control based on the inverse bicausal bond graph in linear fractional transformation form. However, because of the time delay for fault estimation, the PI controller is used to reduce the error before the fault is estimated. Hence, the required input that compensates the fault is the sum of the control signal delivered by the PI controller and the control signal resulting from the inverse bicausal bond graph for fast fault compensation and for maintaining the control objectives. The novelties of the proposed approach are: (1) to exploit the power concept of the bond graph by feeding the power generated by the fault in the inverse model (2) to suitably combining the inverse bicausal bond graph with the PI feedback controller so that the proposed strategy can compensate for the fault with a very short time delay and stabilize the desired output. Finally, the experimental results illustrate the efficiency of the proposed strategy.
format article
author Yacine Lounici
Youcef Touati
Smail Adjerid
Djamel Benazzouz
Billal Nazim Chebouba
author_facet Yacine Lounici
Youcef Touati
Smail Adjerid
Djamel Benazzouz
Billal Nazim Chebouba
author_sort Yacine Lounici
title A novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation
title_short A novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation
title_full A novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation
title_fullStr A novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation
title_full_unstemmed A novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation
title_sort novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation
publisher SAGE Publishing
publishDate 2021
url https://doaj.org/article/79bf30e24603424b95de70e782160977
work_keys_str_mv AT yacinelounici anovelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
AT youceftouati anovelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
AT smailadjerid anovelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
AT djamelbenazzouz anovelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
AT billalnazimchebouba anovelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
AT yacinelounici novelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
AT youceftouati novelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
AT smailadjerid novelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
AT djamelbenazzouz novelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
AT billalnazimchebouba novelfaulttolerantcontrolstrategybasedoninversebicausalbondgraphmodelinlinearfractionaltransformation
_version_ 1718439597387546624