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Machines 2013, 1(3), 116-141; doi:10.3390/machines1030116
Article

Calculating Restart States for Systems Modeled by Operations Using Supervisory Control Theory

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Received: 21 September 2013; in revised form: 4 November 2013 / Accepted: 12 November 2013 / Published: 4 December 2013
(This article belongs to the Special Issue Advances and Challenges in Manufacturing Automation)
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Abstract: This paper presents a supervisory control theory based offline method for calculating restart states in a manufacturing control system. Given these precalculated restart states, an operator can be given correct instructions for how to resynchronize the control system and the manufacturing resources during the online restart process. The proposed method enables restart after unforeseen errors. It is assumed that the control system is modeled by operations and that possible operation sequences emerge through dependencies between the operations. The paper shows how reexecution requirements may be included in the calculation to obtain a correct behavior for the restarted system. In addition, it is shown how to filter out restart states that require less effort for the operator during the online restart, and how to adapt the nominal production to always enable restart in desired restart states.
Keywords: discrete event systems; restart; system recovery discrete event systems; restart; system recovery
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Bergagård, P.; Fabian, M. Calculating Restart States for Systems Modeled by Operations Using Supervisory Control Theory. Machines 2013, 1, 116-141.

AMA Style

Bergagård P, Fabian M. Calculating Restart States for Systems Modeled by Operations Using Supervisory Control Theory. Machines. 2013; 1(3):116-141.

Chicago/Turabian Style

Bergagård, Patrik; Fabian, Martin. 2013. "Calculating Restart States for Systems Modeled by Operations Using Supervisory Control Theory." Machines 1, no. 3: 116-141.

Machines EISSN 2075-1702 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert