Skip to the content

Petri-net-based supervisory control of discrete event systems and their ladder logic diagram implementations

Uzam, M 1998, Petri-net-based supervisory control of discrete event systems and their ladder logic diagram implementations , PhD thesis, University of Salford.

[img]
Preview
PDF - Submitted Version
Download (17MB) | Preview

    Abstract

    The last decade has witnessed rapid developments in computer technology, which in return, has found widespread applications in manufacturing systems, communication networks, robots etc. Such systems are called Discrete Event Systems (DESs), in which properties such as non-determinism, conflict and parallelism are exhibited. As DESs become more complex, the need for an effective design tool and its implementation becomes more important. Supervisory control theory, based on finite state machines (FSM) and formal languages, is a well established framework for the study of DESs. In supervisory control, given a model of the system and the desired system behaviour specifications, the objective is to find a supervisor (controller) such that the controlled behaviour of the system does not contradict the specifications given and does not unnecessarily constrain the behaviour of the system. In general, the classes of specifications that have been considered within the supervisory control fall into two categories: the forbidden state problem, in which the control specifications are expressed as forbidden conditions that must be avoided, and the desired string problem, in which the control specifications are expressed as sequence of activities that must be provided. In supervisory control, there are some problems when using FSMs as an underlying modelling tool. Firstly, the number of states grows exponentially as the system becomes bigger. Secondly, FMSs lack from graphical visivalisation. To overcome these problems Petri nets have been considered as an alternative modelling tool for the analysis, design and implementation of such DESs, because of their easily understood graphical representation in addition to their well formed mathematical formalism. The thesis investigates the use of Petri nets in supervisory control. Both the forbidden state problem and the desired string problem are solved. In other words, this work presents systematic approaches to the synthesis of Petri-nets-based supervisors (controllers) for both the forbidden state problem and the desired string problem and introduces the details of supervisory design procedures. The supervisors obtained are the form of a net structure as oppose to supervisors given as a feedback fiinction. This means that a controlled model of the system can be constructed and analysed using the techniques regarding to Petri net models. In particular the thesis considers discrete manufacturing systems. The results obtained can be applied to high level control of manufacturing systems, where the role of the supervisor is to coordinate the control of machines, robots, etc. and to low-level control of manufacturing systems, where the role of the supervisor is to arrange low-level interactions between the control devices, such as motors, actuators, etc. An approach to the conversion from the supervisors to ladder logic diagrams (LLDs) for implementation on a programmable logic controller (PLC) is proposed. A discrete manufacturing system example is then considered. The aim of this is to illustrate the applicability, strengths and drawbacks of the design techniques proposed.

    Item Type: Thesis (PhD)
    Contributors: Jones, AH(Supervisor)
    Themes: Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
    Depositing User: Institutional Repository
    Date Deposited: 05 Aug 2011 16:54
    Last Modified: 17 Feb 2014 10:42
    URI: http://usir.salford.ac.uk/id/eprint/14836

    Actions (login required)

    Edit record (repository staff only)

    Downloads per month over past year

    View more statistics