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Fogification of Electric Drives: An industrial use case


Mohammadreza Barzegaran , Nitin Desai, Jia Qian , Koen Tange , Bahram Zarrin , Paul Pop, Juha Kuusela

Publication Type:

Conference/Workshop Paper


The 25th IEEE International Conference on Emerging Technologies and Factory Automation


Electric drives are used to control electric motors, which are pervasive in industrial applications. In this paper we propose enhancing the electric drives to fulfil the role of fog nodes within a Fog Computing Platform (FCP). Fog Computing is envisioned as a realization of future distributed architectures in Industry 4.0. We identify the system-level requirements of such an FCP, including requirements that are extracted from the current architecture of drives, which we consider as a baseline. These requirements are then used to design a system-level architecture, which we model using the Architecture Analysis & Design Language (AADL). We identify the “technology bricks” (components such as hardware, software, middleware, services, methods and tools) needed to implement the FCP. The proposed fog-based architecture is then used to implement a Conveyor Belt industrial use case. We evaluate the resulting use case on several aspects, demonstrating the usefulness of the proposed fogbased approach. By developing the electric drives as fog nodes, new offerings like programmability, analytics and connectivity to customer Clouds are expected to increase the added value. Increased flexibility allows drives to assume a larger role in industrial and domestic control systems, instrumenting thus also legacy systems by using drives as the data source.


author = {Mohammadreza Barzegaran and Nitin Desai and Jia Qian and Koen Tange and Bahram Zarrin and Paul Pop and Juha Kuusela},
title = {Fogification of Electric Drives: An industrial use case},
editor = {IEEE},
month = {September},
year = {2020},
booktitle = {The 25th IEEE International Conference on Emerging Technologies and Factory Automation},
url = {}