Robust Deadlock Prevention for Automated Manufacturing Systems with Unreliable Resources by Using General Petri Nets

Yanxiang Feng, Keyi Xing, Mengchu Zhou, Xinnian Wang, Huixia Liu

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Recently, the problem of robust control for automated manufacturing systems (AMSs) with unreliable resources receives increasing attentions. Almost all the existing related works are only concerned with the failure-prone AMSs in which each part stage utilizes only one unit of resources. While, in real-world AMS, it is often necessary to use multiple units of different resources to complete a part. This paper focuses on the robust control of such complex AMSs with a type of unreliable resources. General Petri nets are used to model all the behavior of such AMSs. By adding a control place to the Petri net models for each considered siphon, we develop robust deadlock controllers for the considered AMS. Such a robust controller ensures that the parts of all types can be processed continuously through any of its processing routes, even if one of the unreliable resources fails. Finally, some examples are used to illustrate the proposed method.

Original languageEnglish (US)
Article number8591969
Pages (from-to)3515-3527
Number of pages13
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume50
Issue number10
DOIs
StatePublished - Oct 2020

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Automated manufacturing system (AMS)
  • Petri nets
  • deadlock prevention
  • robust controller
  • unreliable resource

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