Parameter extraction of PSP MOSFET model using particle swarm optimisation Online publication date: Thu, 11-Mar-2021
by Amit Rathod; Rajesh Thakker
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 14, No. 2, 2021
Abstract: System on chip (SoC) architecture offers performance acceleration by offloading compute-intensive functions in FPGA logic, together with application specific instruction set processor (ASIP). In this paper, we report a novel approach of MOSFET parameter extraction at hardware level using Xilinx's Zynq-7000 SoC AVNET ZedboardTM platform. Extraction of PSP MOSFET model of 65 nm technology devices has been carried out using particle swarm optimisation (PSO) algorithm. It is demonstrated that the SoC implementation of PSO algorithm is able to accurately minimise the rms error between model generated data and experimental data below 9.5%. ARM Cortex A9 processor inside the Zynq-7000 SoC, was found capable to execute the MOSFET model library. It has been observed that the proposed SoC implementation of PSO algorithm runs 3.68 times faster compared to a software-based approach.
Online publication date: Thu, 11-Mar-2021
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