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126233

Developing a Supervisory Technique for Online Fault Isolation and Coordination Tasks.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electronics and Communications Engineering

Abstract

The control of complex automated systems requires a supervision system that includes coordination as well as fault detection and diagnosis capabilities. The objective of coordination system is to enforce the plant to legal and safe behavior, while the objective of the fault detection and isolation is to detect and isolate the failures according to the observation traces generated by the system. This paper proposes a new supervisory control technique for online fault detection, isolation and coordination based on Petri net models. This technique has two components, a supervisor, and a diagnoser. The latter evaluates the faulty states without checking the properties that restrict the performance of the conventional dignosers to certain types of Petri net models. This paper also presents two-robot surveillance system, as an application example, to test the proposed algorithm.

DOI

10.21608/bfemu.2020.126233

Keywords

Discrete event systems, Fault detection and isolation, Supervisory control theory, Petri Nets, Hybrid systems, Robotics

Authors

First Name

Hamdi

Last Name

Awad

MiddleName

A.

Affiliation

Department of industrial Electronics and Control Engineering., Facultyof Electronic Engineering., Minufiya., Egypt

Email

awadhaa@yahoo.co.uk

City

Minufiya

Orcid

-

First Name

Mostafa

Last Name

Gomaa

MiddleName

M.

Affiliation

Department of Computer and Systems Engineering, Faculty of Engineering, Ain Shams University, Cairo.

Email

m_gomaa_eg@yahoo.com

City

Cairo

Orcid

-

First Name

Ahmed

Last Name

Anwar

MiddleName

R.

Affiliation

Department of industrial Electronics and Control Eng.,Faculty of Electronic Eng., Minufiya University., Minufiya

Email

rag_gwi@yahoo.com

City

Minufiya

Orcid

-

Volume

34

Article Issue

2

Related Issue

18583

Issue Date

2009-06-01

Receive Date

2009-04-11

Publish Date

2020-11-27

Page Start

23

Page End

34

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 34_Issue 2_Pages 23-34.pdf

PDF . 525.3kB

Link

https://bfemu.journals.ekb.eg/article_126233.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=126233

Order

20

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023