• DocumentCode
    1758304
  • Title

    Supervisor Simplification for AMS Based on Petri Nets and Inequality Analysis

  • Author

    Hesuan Hu ; Yang Liu

  • Author_Institution
    Sch. of Electro-Mech. Eng., Xidian Univ., Xi´an, China
  • Volume
    11
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    66
  • Lastpage
    77
  • Abstract
    In the framework of automated manufacturing systems (AMS), Petri nets are widely used to model, analyze, and control them. Resolving deadlocks is of paramount significance because their emergence may likely zero a systems throughput, if not necessarily. Supervisory control technique is the most widely adopted method to resolve them. A control policy can be converted into satisfying a set of inequalities, each of which corresponds to a siphon in a Petri net structure. The number of siphons can be exponential in the worst case, so does the number of inequalities. Taking into account the independent and dependent inequalities, this paper proposes a method to remove all the dependent inequalities, while preserving only the independent ones. This method can significantly reduce the size of a supervisory controller. Examples are presented to illustrate the effectiveness and efficiency of this method.
  • Keywords
    Petri nets; control system analysis; manufacturing systems; AMS; Petri net structure; automated manufacturing systems; control policy; deadlocks resolution; dependent inequalities; independent inequalities; inequality analysis; supervisor simplification; supervisory control technique; systems throughput; Educational institutions; Monitoring; Petri nets; Supervisory control; System recovery; Vectors; Automated manufacturing systems; Petri nets; linear programming; liveness enforcing supervision; supervisor simplification;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2013.2288645
  • Filename
    6663702