Prediction of Periodicity of FSS Structure using Particle Swarm Optimization

Volume 7 Issue 3 March - May 2017

Research Paper

Prediction of Periodicity of FSS Structure using Particle Swarm Optimization

Mahuya Panda*, Partha Pratim Sarkar**

* Research Scholar, Department of Engineering and Technological Studies, University of Kalyani, West Bengal, India.

** Professor, Department of Engineering and Technological Studies, University of Kalyani, West Bengal, India.

Panda, M., and Sarkar, P.P. (2017). Prediction of Periodicity of FSS Structure using Particle Swarm Optimization. i-manager’s Journal on Electronics Engineering, 7(3), 25-31. https://doi.org/10.26634/jele.7.3.13561

Abstract

The cosmic relevance of soft computing techniques vested unbounded merits in prediction topology. Particle Swarm Optimization, a stochastic approach pioneered from simple numeric to electromagnetic optimization within a very short spam. The combined and synergic usage of trained data of Particle Swarm Optimization articulates sophisticated solution involving larger parameters. Thus Particle Swarm Optimization manifested revolutionary attributes in designing of Frequency Selective Surface structures since its very inception. The criticality of modern optimization technique is the time consumption. However, research reports revealed that Frequency Selective Surface structures using FEKO or ANSOFT tool consumes larger time and thus it is a challenging aspect to lessen the time consumption. In such, emphasis is given on adopting population based algorithm in Frequency Selective Surface domain for the prediction of different designing parameters. This work offers an alternative solution in predicting the periodicity to synthesize Frequency Selective Surface. Represented here is the circular slot loaded square patch elements and the same are printed on FR4 dielectric substrate in order to testify the effectiveness of the model by numerical analysis. Lastly, the results obtained from the Particle Swarm Optimization algorithm is validated through ANSOFT simulation and they sustain a good agreement.