Optimal Design of State Variable Filter using Partition-bound Particle Swarm Optimization Optimal Design of State Variable Filter

Main Article Content

Suvashish Kund
Bishnu Prasad De
Rajib Kar
Durbadal Mandal
Bhargav Appasani

Abstract

Because of manufacturing constraints, designing analog active filters is highly challenging. Evolutionary computing is an effective method for automatically selecting the component values like resistors and capacitors. This work describes the partition-bound Particle Swarm Optimization (PB-PSO) for efficiently designing second-order active low-pass state variable filter (SVF) considering different manufacturing series. PB-PSO is responsible for efficiently picking components and minimizing total design error. The filter components are chosen to be compatible with the E12/ E24/ E96 series. Compared to earlier optimization strategies, the simulation findings show that PB-PSO reduces the overall design error.

Article Details

How to Cite
Kund, S. ., De, B. P., Kar, R., Mandal, D., & Appasani, B. (2024). Optimal Design of State Variable Filter using Partition-bound Particle Swarm Optimization: Optimal Design of State Variable Filter. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 22(3). https://doi.org/10.37936/ecti-eec.2024223.252109
Section
Analog/Mixed-Signal Circuits and Systems

References

R. S. Zebulum, M. A. Pacheco and M. Vellasco, “Artificial evolution of active filters: a case study,”

Proceedings of the First NASA/DoD Workshop on Evolvable Hardware, Pasadena, CA, USA, 1999, pp.

-75.

H. Xu and Y. Ding, “Optimizing Method for Analog Circuit Design Using Adaptive Immune Genetic

Algorithm,” 2009 Fourth International Conference on Frontier of Computer Science and Technology,

Shanghai, China, 2009, pp. 359-363.

R. A. Vural, T. Yildirim, T. Kadioglu and A. Basargan, “Performance Evaluation of Evolutionary

Algorithms for Optimal Filter Design,” in IEEE Transactions on Evolutionary Computation, vol. 16,

no. 1, pp. 135-147, Feb. 2012.

R. A. Vural, U. Bozkurt and T. Yildirim, “Analog active filter component selection with nature in spired metaheuristics,” AEU - International Journal of Electronics and Communications, vol. 67, no. 3 pp. 197-205, 2013.

R. A. Vural and T. Yildirim, “State variable filter design using Particle Swarm Optimization,” 2010 XIth

International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD), Gammarth, Tunisia, 2010, pp. 1-4.

B. P. De, R. Kar, D. Mandal, and S. P. Ghoshal, “Optimal analog active filter design using craziness

based particle swarm optimization algorithm”, International Journal of Numerical Modelling: Electronic

Networks, Devices and Fields, vol. 28, no. 5, pp. 593-609, 2015.

B. P. De, R. Kar, D. Mandal, and S. P. Ghoshal, “Particle Swarm Optimization with Aging Leader and

Challengers for Optimal Design of Analog Active Filters”, Circuits, Systems & Signal Processing, vol.

, no. 13, pp. 707-737, 2015.

B. P. De, R. Kar, D. Mandal, and S. P. Ghoshal, “Optimal Selection of Components Value for Analog

Active Filter Design Using Simplex Particle Swarm Optimization”, International Journal of Machine

Learning and Cybernetics, vol. 6, no. 4, pp. 621-636, 2015.

J. Kennedy and R. Eberhart, “Particle swarm optimization”, Proceedings of the IEEE International

Conference on Neural Network, vol. 4, 1995, pp. 1942-1948.

R. Eberhart and Y. Shi, “Comparison between genetic algorithm and particle swarm optimization”,

Evolutionary Programming-VII, pp. 611-616, 1998.

K. G. Shreeharsha, R. K. Siddharth, M. H. Vasantha, and Y. B. N. Kumar, “Partition Bound Random

Number-Based Particle Swarm Optimization for Analog Circuit Sizing,” in IEEE Access, vol. 11, pp.

-123588, 2023.

R. Schaumann and M.V. Valkenburg, Design of Analog Filters, Oxford University Press, NY, 2001.

P. V. Ananda Mohan, “Sensitivity analysis of third and fourth-order filters”, Circuits Syst Signal

Process, vol. 29, no. 5, pp. 999-1005, 2010.

M. S. Ghausi and K. R. Laker, Modern Filter Design: Active RC and switch capacitor, Prentice Hall, 1981.