Evaluación de la capacidad de diseño de filtro de capacidades conmutadas con Particle Swarm Optimization (PSO)

Authors

  • Gonzalo Tomás Vodanovic, Doctorando Grupo de Estudio en Calidad Mecatrónica, Facultad regional Villa María, Universidad Tecnológica Nacional, Argentina. Grupo de Desarrollo Electrónico e Instrumental, Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba - Argentina
  • Eduardo Romero Director
  • Gabriela Peretti Codirectora

DOI:

https://doi.org/10.33414/ajea.5.765.2020

Keywords:

Particle Swarm Optimization, analog filter, switched capacities, PSoC1

Abstract

In the present work, we analyze the ability of the Particle Swarm Optimization algorithm to design switched capacities analog filters embedded in a particular mixed signal platform for a wide variety of specifications. The convergence rate is used to measure the performance of the optimizer in these different scenarios, and are discussed the reasons this metric varies for different filter specifications.

Downloads

Metrics

PDF views
184
Oct 07 '20Oct 10 '20Oct 13 '20Oct 16 '20Oct 19 '20Oct 22 '20Oct 25 '20Oct 28 '20Oct 31 '20Nov 01 '203.0
| |

Downloads

Published

2020-10-05

How to Cite

Vodanovic, G. T., Romero, E., & Peretti, G. (2020). Evaluación de la capacidad de diseño de filtro de capacidades conmutadas con Particle Swarm Optimization (PSO). AJEA (Proceedings of UTN Academic Conferences and Events), (5). https://doi.org/10.33414/ajea.5.765.2020

Conference Proceedings Volume

No. 5 (2020): Conference on Exchange and Dissemination of Research Results of Doctoral Students in Engineering

Section

Proceedings - Electronics