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A PID Positioning Controller with a Curve Fitting Model Based on RFID Technology
ARTICLE

, , Department of Computer Science and Information Engineering

Journal of Applied Research and Technology Volume 11, Number 2, ISSN 1665-6423 Publisher: Elsevier Ltd

Abstract

The global positioning system (GPS) is an important research topic to solve outdoor positioning problems, but GPS is unable to locate objects accurately and precisely indoors. Some available systems apply ultrasound or optical tracking. This paper presents an efficient proportional-integral-derivative (PID) controller with curve fitting model for mobile robot localization and position estimation which adopts passive radio frequency identification (RFID) tags in a space. This scheme is based on a mobile robot carries an RFID reader module which reads the installed low-cost passive tags under the floor in a grid-like pattern. The PID controllers increase the efficiency of captured RFID tags and the curve fitting model is used to systematically identify the revolutions per minute (RPM) of the motor. We control and monitor the position of the robot from a remote location through a mobile phone via Wi-Fi and Bluetooth network. Experiment results present that the number of captured RFID tags of our proposed scheme outperforms that of the previous scheme.

Citation

Chen, Y.L. & Chen, Z.R. (2013). A PID Positioning Controller with a Curve Fitting Model Based on RFID Technology. Journal of Applied Research and Technology, 11(2), 301-310. Elsevier Ltd. Retrieved January 19, 2021 from .

This record was imported from Journal of Applied Research and Technology on January 29, 2019. Journal of Applied Research and Technology is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/S1665-6423(13)71540-2

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