Optimization of an analog controller for a solar tracker using genetic algorithms and particle swarm optimization

Author

Cuchango, H.E.E. ; Sierra Vargas, Fabio Emiro

Author_Institution

Fac. de Ing., Univ. Distrital Francisco Jose de Caldas, Bogota, Colombia

fYear

2012

fDate

25-26 Oct. 2012

Firstpage

1

Lastpage

6

Abstract

This paper shows the design and implementation of an analog controller for a solar tracker. The kind of controller implemented consists of a pole, a zero and gain. The calculation of controller parameters is performed by bio-inspired optimization algorithms. In particular are used Particle Swarm Optimization and Genetic Algorithms. This seeks to observe the performance that these two types of algorithms has for this class of applications. The comparison of results for the algorithms is performed statistically.

Keywords

genetic algorithms; particle swarm optimisation; solar cells; solar energy concentrators; analog controller optimization; bioinspired optimization algorithms; genetic algorithms; particle swarm optimization; solar tracker; Algorithm design and analysis; Genetic algorithms; Indexes; Laboratories; Optimization; Particle swarm optimization; Poles and zeros; control; genetic algorithms; optimization; particle swarm optimization; solar tracker;

fLanguage

English

Publisher

ieee

Conference_Titel

Alternative Energies and Energy Quality (SIFAE), 2012 IEEE International Symposium on

Conference_Location

Barranquilla

Print_ISBN

978-1-4673-4653-5

Type

conf

DOI

10.1109/SIFAE.2012.6478905

Filename

6478905