基于遗传算法和粒子群优化的太阳跟踪器模拟控制器优化

2012 IEEE International Symposium on Alternative Energies and Energy Quality (SIFAE) Pub Date : 2012-10-01 DOI:10.1109/SIFAE.2012.6478905

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

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引用次数: 3

摘要

本文介绍了太阳能跟踪器模拟控制器的设计与实现。这种控制器由极点、零点和增益组成。控制器参数的计算采用仿生优化算法。特别使用了粒子群优化和遗传算法。本文旨在观察这两种算法在这类应用程序中的性能。对算法的结果进行了统计比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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

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