Supervisor synthesis and performance improvement for automated manufacturing systems by using Petri nets

Hesuan Hu, Mengchu Zhou, Yang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Behavior management and performance evaluation are two significant issues in the design and operation of automated manufacturing systems (AMS). The former constrains their dynamics so as to avoid improper behavior and eliminate downtime, while the latter aims to evaluate cycle time. Although abundant research has been conducted on each issue independently, researchers rarely address both in a correlative way. Without accurate and prompt guidance to route parts, it is difficult for an AMS to manage the production process in an optimal manner. In the paradigm of Petri nets, we show that it is crucial to optimize certain local priorities for the sake of cycle time minimization or throughput maximization. Without making radical changes to the system structure, our method can well design some control parameters in order to meet system performance requirement. An algorithm of polynomial complexity is presented to derive supervisory controllers, if existing, to improve system performance.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Pages1139-1144
Number of pages6
DOIs
StatePublished - Dec 1 2013
Event2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 - Madison, WI, United States
Duration: Aug 17 2013Aug 20 2013

Other

Other2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
CountryUnited States
CityMadison, WI
Period8/17/138/20/13

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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