Optimal design of second generation current conveyor using craziness-based particle swarm optimisation Online publication date: Tue, 01-Mar-2022
by Soumen Mallick; Rajib Kar; Durbadal Mandal
International Journal of Bio-Inspired Computation (IJBIC), Vol. 19, No. 2, 2022
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 (fCI) as well as to decrease the input X-port parasitic resistance (RX). Accordingly, the optimisation problem is developed as a bi-objective problem of minimisation to obtain the least value of RX and the superior value of fCI. 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.
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