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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

The Benefits of Soft Sensor and Multi-Rate Control for the Implementation of Wireless Networked Control Systems

Texto completo
Autor(es):
Mansano, Raul K. [1] ; Godoy, Eduardo P. [1] ; Porto, Arthur J. V. [2]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Estadual Paulista UNESP, Grp Automat & Integrated Syst, BR-18087180 Sorocaba - Brazil
[2] Univ Sao Paulo USP Sao Carlos, Dept Mech Engn, BR-13566590 Sao Carlos, SP - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: SENSORS; v. 14, n. 12, p. 24441-24461, DEC 2014.
Citações Web of Science: 11
Resumo

Recent advances in wireless networking technology and the proliferation of industrial wireless sensors have led to an increasing interest in using wireless networks for closed loop control. The main advantages of Wireless Networked Control Systems (WNCSs) are the reconfigurability, easy commissioning and the possibility of installation in places where cabling is impossible. Despite these advantages, there are two main problems which must be considered for practical implementations of WNCSs. One problem is the sampling period constraint of industrial wireless sensors. This problem is related to the energy cost of the wireless transmission, since the power supply is limited, which precludes the use of these sensors in several closed-loop controls. The other technological concern in WNCS is the energy efficiency of the devices. As the sensors are powered by batteries, the lowest possible consumption is required to extend battery lifetime. As a result, there is a compromise between the sensor sampling period, the sensor battery lifetime and the required control performance for the WNCS. This paper develops a model-based soft sensor to overcome these problems and enable practical implementations of WNCSs. The goal of the soft sensor is generating virtual data allowing an actuation on the process faster than the maximum sampling period available for the wireless sensor. Experimental results have shown the soft sensor is a solution to the sampling period constraint problem of wireless sensors in control applications, enabling the application of industrial wireless sensors in WNCSs. Additionally, our results demonstrated the soft sensor potential for implementing energy efficient WNCS through the battery saving of industrial wireless sensors. (AU)

Processo FAPESP: 11/23217-0 - Novos desenvolvimentos e estratégias de controle para a aplicação de sistemas de controle via redes (NCS)
Beneficiário:Eduardo Paciência Godoy
Linha de fomento: Auxílio à Pesquisa - Regular