A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems

Detalhes bibliográficos
Autor(a) principal: Mansano, Raul K. [UNESP]
Data de Publicação: 2014
Outros Autores: Rodrigues, Eliane C. [UNESP], Oliveira, Thiago A. [UNESP], Godoy, Eduardo P. [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/183960
Resumo: Recent advances in wireless networking technology and proliferation of industrial wireless sensor have led to an increased interest in using wireless networks in NCSs. The main advantages of these Wireless Networked Control Systems (WNCSs) are the reconfigurability, easy commissioning and the installation in places where cabling is impossible. Despite these advantages, there are two main problems which must be considered for application of WNCSs. One problem is the sampling period constraint of the industrial wireless sensors. This problem is related to the energy cost of the wireless transmission, once power supply is limited, which unable the use of these sensors in several closed-loop controls. The other concern in WNCS is the energy efficiency of devices. As the sensors are powered by batteries, it is expected the lowest possible consumption to extend battery lifetime. This paper proposes a model based soft sensor to overcome these problems in WNCSs. The goal of the soft sensor is generating virtual data allowing an actuation on the process faster than the minimum sampling period available for the wireless sensor. Experimental results in a WNCS testbed shown that the soft sensor provided reliable virtual data for the multi-rate controller, overcoming the sampling period constraint and enabling the application of industrial wireless sensors in WNCSs. Additionally, the results shown that the soft-sensor is energy efficient. By increasing the wireless sensor sampling period, while maintaining control performance, the soft sensor can also be applied for saving battery of the industrial wireless sensors.
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spelling A Soft Sensor for Energy Efficient Application of Wireless Networked Control SystemsSoft SensorMathematical ModelWireless Networked Control SystemIndustrial NetworksRecent advances in wireless networking technology and proliferation of industrial wireless sensor have led to an increased interest in using wireless networks in NCSs. The main advantages of these Wireless Networked Control Systems (WNCSs) are the reconfigurability, easy commissioning and the installation in places where cabling is impossible. Despite these advantages, there are two main problems which must be considered for application of WNCSs. One problem is the sampling period constraint of the industrial wireless sensors. This problem is related to the energy cost of the wireless transmission, once power supply is limited, which unable the use of these sensors in several closed-loop controls. The other concern in WNCS is the energy efficiency of devices. As the sensors are powered by batteries, it is expected the lowest possible consumption to extend battery lifetime. This paper proposes a model based soft sensor to overcome these problems in WNCSs. The goal of the soft sensor is generating virtual data allowing an actuation on the process faster than the minimum sampling period available for the wireless sensor. Experimental results in a WNCS testbed shown that the soft sensor provided reliable virtual data for the multi-rate controller, overcoming the sampling period constraint and enabling the application of industrial wireless sensors in WNCSs. Additionally, the results shown that the soft-sensor is energy efficient. By increasing the wireless sensor sampling period, while maintaining control performance, the soft sensor can also be applied for saving battery of the industrial wireless sensors.UNESP Univ Estadual Paulista, GASI, Sao Paulo, BrazilUNESP Univ Estadual Paulista, GASI, Sao Paulo, BrazilIeeeUniversidade Estadual Paulista (Unesp)Mansano, Raul K. [UNESP]Rodrigues, Eliane C. [UNESP]Oliveira, Thiago A. [UNESP]Godoy, Eduardo P. [UNESP]IEEE2019-10-03T18:18:39Z2019-10-03T18:18:39Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject4738-4744Iecon 2014 - 40th Annual Conference Of The Ieee Industrial Electronics Society. New York: Ieee, p. 4738-4744, 2014.1553-572Xhttp://hdl.handle.net/11449/183960WOS:000389471604079Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIecon 2014 - 40th Annual Conference Of The Ieee Industrial Electronics Societyinfo:eu-repo/semantics/openAccess2021-10-22T19:44:34Zoai:repositorio.unesp.br:11449/183960Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:52:45.600639Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems
title A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems
spellingShingle A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems
Mansano, Raul K. [UNESP]
Soft Sensor
Mathematical Model
Wireless Networked Control System
Industrial Networks
title_short A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems
title_full A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems
title_fullStr A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems
title_full_unstemmed A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems
title_sort A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems
author Mansano, Raul K. [UNESP]
author_facet Mansano, Raul K. [UNESP]
Rodrigues, Eliane C. [UNESP]
Oliveira, Thiago A. [UNESP]
Godoy, Eduardo P. [UNESP]
IEEE
author_role author
author2 Rodrigues, Eliane C. [UNESP]
Oliveira, Thiago A. [UNESP]
Godoy, Eduardo P. [UNESP]
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Mansano, Raul K. [UNESP]
Rodrigues, Eliane C. [UNESP]
Oliveira, Thiago A. [UNESP]
Godoy, Eduardo P. [UNESP]
IEEE
dc.subject.por.fl_str_mv Soft Sensor
Mathematical Model
Wireless Networked Control System
Industrial Networks
topic Soft Sensor
Mathematical Model
Wireless Networked Control System
Industrial Networks
description Recent advances in wireless networking technology and proliferation of industrial wireless sensor have led to an increased interest in using wireless networks in NCSs. The main advantages of these Wireless Networked Control Systems (WNCSs) are the reconfigurability, easy commissioning and the installation in places where cabling is impossible. Despite these advantages, there are two main problems which must be considered for application of WNCSs. One problem is the sampling period constraint of the industrial wireless sensors. This problem is related to the energy cost of the wireless transmission, once power supply is limited, which unable the use of these sensors in several closed-loop controls. The other concern in WNCS is the energy efficiency of devices. As the sensors are powered by batteries, it is expected the lowest possible consumption to extend battery lifetime. This paper proposes a model based soft sensor to overcome these problems in WNCSs. The goal of the soft sensor is generating virtual data allowing an actuation on the process faster than the minimum sampling period available for the wireless sensor. Experimental results in a WNCS testbed shown that the soft sensor provided reliable virtual data for the multi-rate controller, overcoming the sampling period constraint and enabling the application of industrial wireless sensors in WNCSs. Additionally, the results shown that the soft-sensor is energy efficient. By increasing the wireless sensor sampling period, while maintaining control performance, the soft sensor can also be applied for saving battery of the industrial wireless sensors.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2019-10-03T18:18:39Z
2019-10-03T18:18:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Iecon 2014 - 40th Annual Conference Of The Ieee Industrial Electronics Society. New York: Ieee, p. 4738-4744, 2014.
1553-572X
http://hdl.handle.net/11449/183960
WOS:000389471604079
identifier_str_mv Iecon 2014 - 40th Annual Conference Of The Ieee Industrial Electronics Society. New York: Ieee, p. 4738-4744, 2014.
1553-572X
WOS:000389471604079
url http://hdl.handle.net/11449/183960
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Iecon 2014 - 40th Annual Conference Of The Ieee Industrial Electronics Society
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 4738-4744
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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