Title: Optimal design of second generation current conveyor using craziness-based particle swarm optimisation

Authors: Soumen Mallick; Rajib Kar; Durbadal Mandal

Addresses: Department of Information Technology, Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India ' Department of Electronics and Communication Engineering, NIT Durgapur, West Bengal, India ' Department of Electronics and Communication Engineering, NIT Durgapur, West Bengal, India

Abstract: In this paper, a population-based meta-heuristic search algorithm called craziness-based particle swarm optimisation (CRPSO) has been employed for the optimal design of positive second-generation current conveyor based on a trans-linear loop (CCII⁺). CRPSO accepts several random variables for encompassing improved and quicker search and utilisation in multidimensional search space. The main goal of this work is to optimally size the CCII⁺ building block to attain the suitable aspect ratios of the MOS transistors. To enhance the performance of a CCII⁺ design, it needs to increase the higher cut-off frequency of the current signal (f_CI) as well as to decrease the input X-port parasitic resistance (R_X). Accordingly, the optimisation problem is developed as a bi-objective problem of minimisation to obtain the least value of R_X and the superior value of f_CI. The current conveyor is simulated and validated using UMC 180 nm CMOS technology with a power supply of ±2.5 V in Cadence Virtuoso XL Design Environment.

Keywords: CMOS; circuit sizing; second generation current conveyor; trans-linear loop; CRPSO; evolutionary optimisation techniques; X-port parasitic resistance; higher cut-off frequency.

DOI: 10.1504/IJBIC.2022.121234

International Journal of Bio-Inspired Computation, 2022 Vol.19 No.2, pp.87 - 96

Accepted: 13 Sep 2021
Published online: 01 Mar 2022 *

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