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A Systematic Process and Steps to Analyze Various Applications of PSO and Its Effective Implementation in Industries

Author(s):

Cedrick B. Machado , M S R I T, Bangalore; Anirudh Acharya A, M S R I T, Bangalore; Mamatha V, M S R I T, Bangalore; Sujay Pan, M S R I T, Bangalore; M Rajesh, M S R I T, Bangalore

Keywords:

Particle Swarm Optimization; Single Mode Fiber; Loss Minimization

Abstract

This paper presents the particle swarm optimization (PSO) algorithm for solving the optimal distribution system problem for power loss minimization. The proposed methodology determines control variable settings, such as number of shunts to be switched, for real power loss minimization in the transmission system. The problem is formulated as a nonlinear optimization problem. The PSO is relatively new and powerful intelligent evolution algorithm for solving optimization problems. It is a population based approach. The proposed approach employs the PSO algorithm for the optimal setting of optimal power based on loss minimization (LM) function. The proposed approach has been examined. The obtained results are compared with those using other techniques in a previous work to evaluate the performance. Particles swarm optimization (PSO) has shown to be an efficient, robust and simple optimization algorithm. Most of the PSO studies are empirical, with only a few theoretical analyses that concentrate on understanding particle trajectories. This paper overviews current theoretical studies, and extend these studies to applications in mechatronics systems such as identification control, gains and optimization in design. Experimental results are provided to support the conclusions drawn from the theoretical findings. A new alignment method based on the particle swarm optimization (PSO) technique is presented. The PSO algorithm is used for locating the optimal coupling position with the highest optimal power with three degrees of freedom alignment. This algorithm gives interesting results without a need to go through the complex mathematical modeling of the alignment system. The proposed algorithm is validated considering particle tests considering the alignment of two Single Mode Fibers (SMF) and the alignment of SMF and PCF fibers.

Other Details

Paper ID: IJSRDV5I100289
Published in: Volume : 5, Issue : 10
Publication Date: 01/01/2018
Page(s): 929-932

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