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Particle Swarm Optimization Method to Design a Linear Tubular Switched Reluctance Generator

Particle Swarm Optimization Method to Design a Linear Tubular Switched Reluctance Generator
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Author(s): Rui P. G. Mendes (Universidade da Beira Interior, Portugal), Maria do Rosário Alves Calado (Universidade da Beira Interior, Portugal)and Sílvio José Mariano (Universidade da Beira Interior, Portugal)
Copyright: 2015
Pages: 38
Source title: Handbook of Research on Swarm Intelligence in Engineering
Source Author(s)/Editor(s): Siddhartha Bhattacharyya (RCC Institute of Information Technology, India)and Paramartha Dutta (Visva-Bharati University, India)
DOI: 10.4018/978-1-4666-8291-7.ch015

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Abstract

In this chapter, the Particle Swarm Optimization method is applied to four different structural configurations of a linear switched reluctance generator with tubular topology. The optimization process involves the search of the values for a defined set of geometric parameters that maximize the rate of change of the generator's inductance with the relative displacement of its mover part. The optimization algorithm is applied to each structural configuration in order to find the optimum geometry as well to identify the most suitable configuration for electric generation.

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