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Assessing complexity of component-based control architectures used in modular automation systems

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Alkan, Bugra, Vera, Daniel A., Kaniappan Chinnathai, Malarvizhi and Harrison, Robert (2017) Assessing complexity of component-based control architectures used in modular automation systems. In: International Conference on Computer and Information Technology, Kusadasi, Turkey, 12-14 Apr 2017. Published in: International Journal of Computer and Electrical Engineering, 9 (1). pp. 393-402. ISSN 1793-8163. doi:10.17706/IJCEE.2017.9.1.393-402

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Official URL: http://doi.org/10.17706/IJCEE.2017.9.1.393-402

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Abstract

Component-based development (CBD) supports hierarchical decomposition of manufacturing control architectures through data and procedural abstraction, allowing designers to handle system development complexity better than function-oriented methods. Although the CBD approach helps managing complexity of the software design and development process, it does not reduce or eliminate complexity of control systems. In fact, large and highly coupled system architectures make entire software very difficult to understand and modify, especially during manufacturing system re-configuration and scale up/down processes. Thus, it is essential to maintain simplicity in control system design, without disregarding the required modularity and functionality. This paper proposes an information-theoretic measure to quantify the complexity of component-based manufacturing control systems. The proposed measure is tested over the auto-generated control codes of Festo MPS system for its validity. The authors believe that the proposed approach can be served as a proactive design support especially useful for early design stages as it allows designers to select the optimal control architectures with least complexity and provides a clear understanding of the potential stress points.

Item Type: Conference Item (Paper)
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TS Manufactures
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: International Journal of Computer and Electrical Engineering
Publisher: International Academy Publishing (IAP)
ISSN: 1793-8163
Official Date: June 2017
Dates:
DateEvent
June 2017Published
9 February 2017Accepted
Volume: 9
Number: 1
Page Range: pp. 393-402
DOI: 10.17706/IJCEE.2017.9.1.393-402
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Conference Paper Type: Paper
Title of Event: International Conference on Computer and Information Technology
Type of Event: Conference
Location of Event: Kusadasi, Turkey
Date(s) of Event: 12-14 Apr 2017
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  • http://www.ijcee.org/vol9/946-T033.pdf

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