A new approach based on TLBO for DC-DC converter in RFID tag

Article type: Research Article

Authors: Dastanian, Rezvan | Abiri, Ebrahim^* | Salehi, Mohammad Reza | Akbari, Akram

Affiliations: Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran

Correspondence: [*] Corresponding author. Ebrahim Abiri, Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran. abiri@sutech.ac.ir

Abstract: In this paper a DC-DC converter with high voltage conversion ratio and low chip area, which is useful for RFID tag chip, is presented. DC-DC converter is modeled with neural network while TLBO algorithm is used to optimize it. In each stage of the converter the charge transfer switch is used for increasing the voltage gain. Each charge transfer switch is dynamically controlled with the inverter and the charge transfer switch is completely becomes on and off. By using the achieved results of the TLBO algorithm, the output voltage and voltage conversion ratio of DC-DC converter are 7.741 V and 86% , respectively, while the input voltage is considered 1.8 V. The layout of the DC-DC converter chip area drawn in Cadence software is 60μm*60μm. The neural network and TLBO algorithm are programed with Matlab software and the Cadence software is used for extracting the circuit primary samples and simulating the final design of DC-DC converter in 0.18μm CMOS technology.

Keywords: TLBO, DC-DC converter, RFID tag, CTS, low power

DOI: 10.3233/IFS-151660

Journal: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1827-1833, 2015