Title :
A soft sensor for energy efficient application of wireless networked control systems
Author :
Mansano, Raul K. ; Rodrigues, Eliane C. ; Oliveira, Thiago A. ; Godoy, Eduardo P.
Author_Institution :
GASI - Group of Autom. & Integrated Syst., UNESP - Univ. Estadual Paulista, Sao Paulo, Brazil
Abstract :
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.
Keywords :
telecommunication control; telecommunication power management; wireless sensor networks; NCS; WNCS; closed-loop controls; energy efficient application; extend battery lifetime; industrial wireless sensor; industrial wireless sensors; multirate controller; soft sensor; soft-sensor; virtual data; wireless networked control systems; wireless networking technology; wireless transmission; Actuators; DC motors; Mathematical model; Process control; Wireless networks; Wireless sensor networks; Industrial Networks; Mathematical Model; Soft Sensor; Wireless Networked Control System;
Conference_Titel :
Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
DOI :
10.1109/IECON.2014.7049217