Universal identification and control of industrial manufacturing equipment as a service

This paper presents a universal approach of identification and closed-loop control of manufacturing equipment, de- livered through web services using Open Platform Communications United Architecture (OPC UA). Rapid prototyping as well as retrofitting and digitization of legacy systems often need des...

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Autores principales:	Jörg Krüger, Verena Tessaro, Axel Vick
Formato:	article
Lenguaje:	EN
Publicado:	Estonian Academy Publishers 2021
Materias:	system identification model predictive control industrial robots process technology manufacturing as a service. Science Q
Acceso en línea:	https://doaj.org/article/65980509e78d4dfbaa6b7cec4cd0b00d
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spelling	oai:doaj.org-article:65980509e78d4dfbaa6b7cec4cd0b00d2021-11-17T17:48:21ZUniversal identification and control of industrial manufacturing equipment as a service1736-60461736-753010.3176/proc.2021.4.11https://doaj.org/article/65980509e78d4dfbaa6b7cec4cd0b00d2021-11-01T00:00:00Zhttps://kirj.ee/wp-content/plugins/kirj/pub/proc-4-2021-444-452_20211104172800.pdfhttps://doaj.org/toc/1736-6046https://doaj.org/toc/1736-7530This paper presents a universal approach of identification and closed-loop control of manufacturing equipment, de- livered through web services using Open Platform Communications United Architecture (OPC UA). Rapid prototyping as well as retrofitting and digitization of legacy systems often need design and application of closed-loop controllers. The analysis and modelling for systems such as energy-conversion or material transport devices is labour-intensive and needs process understanding. Current identification and control toolboxes require systematic preparation of input/output data, modification and tuning of the derived models, also proper design of classic PID controllers. An on-demand service paradigm is applied to allow identification and control with direct access to the controlled system over a network connection. The identified parameters are used to adapt a model predictive controller (MPC), which stabilizes the system and drives trajectories to different operating points. To evaluate the performance of the controllers in terms of stability, accuracy, and time response, several target trajectories and disturbances (signal noise, external physical disturbances, latency in communication) were investigated. The identification service was used to model the linear dynamics of a 6-DOF industrial robot and a laboratory-scale waterworks containing two separately controllable pumps. The robotâs axes and the waterworksâ pumps were successfully controlled with current set-points by using their respective identified state-space models. Simulation and laboratory experiments show promising results for the control of diverse systems with varying time-constants, and imply broad applicability. As a major achievement, this approach enables to efficiently implement system identification and model predictive control in manufacturing.Jörg KrügerVerena TessaroAxel VickEstonian Academy Publishersarticlesystem identificationmodel predictive controlindustrial robotsprocess technologymanufacturing as a service.ScienceQENProceedings of the Estonian Academy of Sciences, Vol 70, Iss 4, Pp 444-452 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	system identification model predictive control industrial robots process technology manufacturing as a service. Science Q
spellingShingle	system identification model predictive control industrial robots process technology manufacturing as a service. Science Q Jörg Krüger Verena Tessaro Axel Vick Universal identification and control of industrial manufacturing equipment as a service
description	This paper presents a universal approach of identification and closed-loop control of manufacturing equipment, de- livered through web services using Open Platform Communications United Architecture (OPC UA). Rapid prototyping as well as retrofitting and digitization of legacy systems often need design and application of closed-loop controllers. The analysis and modelling for systems such as energy-conversion or material transport devices is labour-intensive and needs process understanding. Current identification and control toolboxes require systematic preparation of input/output data, modification and tuning of the derived models, also proper design of classic PID controllers. An on-demand service paradigm is applied to allow identification and control with direct access to the controlled system over a network connection. The identified parameters are used to adapt a model predictive controller (MPC), which stabilizes the system and drives trajectories to different operating points. To evaluate the performance of the controllers in terms of stability, accuracy, and time response, several target trajectories and disturbances (signal noise, external physical disturbances, latency in communication) were investigated. The identification service was used to model the linear dynamics of a 6-DOF industrial robot and a laboratory-scale waterworks containing two separately controllable pumps. The robotâs axes and the waterworksâ pumps were successfully controlled with current set-points by using their respective identified state-space models. Simulation and laboratory experiments show promising results for the control of diverse systems with varying time-constants, and imply broad applicability. As a major achievement, this approach enables to efficiently implement system identification and model predictive control in manufacturing.
format	article
author	Jörg Krüger Verena Tessaro Axel Vick
author_facet	Jörg Krüger Verena Tessaro Axel Vick
author_sort	Jörg Krüger
title	Universal identification and control of industrial manufacturing equipment as a service
title_short	Universal identification and control of industrial manufacturing equipment as a service
title_full	Universal identification and control of industrial manufacturing equipment as a service
title_fullStr	Universal identification and control of industrial manufacturing equipment as a service
title_full_unstemmed	Universal identification and control of industrial manufacturing equipment as a service
title_sort	universal identification and control of industrial manufacturing equipment as a service
publisher	Estonian Academy Publishers
publishDate	2021
url	https://doaj.org/article/65980509e78d4dfbaa6b7cec4cd0b00d
work_keys_str_mv	AT jorgkruger universalidentificationandcontrolofindustrialmanufacturingequipmentasaservice AT verenatessaro universalidentificationandcontrolofindustrialmanufacturingequipmentasaservice AT axelvick universalidentificationandcontrolofindustrialmanufacturingequipmentasaservice
_version_	1718425359951593472

Universal identification and control of industrial manufacturing equipment as a service

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