calculating restart states for systems modeled by operations using supervisory control theory

Clicks: 220
ID: 236011
2013
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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.
Reference Key
bergagrd2013machinescalculating Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Patrik Bergagård;Martin Fabian
Journal neuroethics
Year 2013
DOI
10.3390/machines1030116
URL
http://www.mdpi.com/2075-1702/1/3/116
Keywords
system recoverymechanical engineering and machinery

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