Abstract
One challenge for the designers of the current industrial control systems consists of assuring the system reconfiguration at runtime, envisaged at system design time. This article focuses specifically on the fault tolerance to controller failures (as it is the most complex challenge) aiming at redistributing the responsibilities at runtime in order to finish the current production plan. Its applicability is illustrated by means of a case study that consists of a reconfigurable control application based on the IEC 61131-3 for a flexible assembly cell. A prototype software tool guides the developer during the development process. This approach contributes to develop more flexible control systems because they can react in case of a controller failure, to increase the system availability during its operation and to reduce the production downtimes to perform the maintenance tasks.
Highlights
I NDUSTRY 4.0 focuses on creating smart factories that lead to customized production with zero defects
An efficient operation of the control system requires advanced software engineering solutions as they have a great impact on the efficiency of automation systems [2]
Vogel-Heuser et al [3] introduce the essential challenges of software engineering and the requirements that software has to meet in the specific domain of automation
Summary
I NDUSTRY 4.0 focuses on creating smart factories that lead to customized production with zero defects. One of the main conclusions of the authors is the strong need of addressing methodological aspects in the design of complex intelligent manufacturing systems, and if advanced technologies from the software engineering field are to be applied Another important aspect when developing industrial solutions is to involve the technical personnel in the development (Requirement 4). As far as authors know, the coverage of all requirements is not completely meet In this context, this article contributes a methodological approach to develop reconfigurable control applications using the industrial standards and where the production process experts participate. It provides a brief overview of the MeiA methodology, detailing the seven steps to perform the analysis and design required to address the dynamic reallocation of control resources at run time.
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