Title: Parameter extraction of PSP MOSFET model using particle swarm optimisation

Authors: Amit Rathod; Rajesh Thakker

Addresses: Department of Electronics and Communication, Gujarat Technological University, Ahmadabad, Gujarat, 382424, India ' Department of Electronics and Communication, Vishwakarma Government Engineering College, Chandkheda, Gujarat, 382424, India

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.

Keywords: evolutionary algorithm; MOSFET parameter extraction; particle swarm optimisation; PSO; PSP MOSFET model; system on chip; SoC; Zynq-7000 SoC; application specific instruction set processor; ASIP; ARM Cortex.

DOI: 10.1504/IJCAET.2021.113550

International Journal of Computer Aided Engineering and Technology, 2021 Vol.14 No.2, pp.278 - 291

Received: 25 Jan 2018
Accepted: 02 Aug 2018

Published online: 03 Mar 2021 *

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