Revistas de investigación UNMSM

PID Controller with Real Number Genetic Algorithms

Authors

  • Guillermo Tejada Muñoz Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Electrónica y Eléctrica. Lima, Peru

DOI:

https://doi.org/10.15381/idata.v22i2.16489

Keywords:

Genetic algorithms, real number genes, PID, mean square error

Abstract

A genetic algorithm (GA) is an artificial intelligence technique that can be applied to any engineering specialty. In this study, the proposed GA finds optimal values for PID controller parameters Kp, Ki and Kd, which are widely used in the industry. Chromosomes, composed of Kp, Ki and Kd genes, represented by real numbers, evolve and are evaluated by the mean square error (MSE) of the desired output. In that sense, the solution is the chromosome with the lowest MSE, which produces less transient output. In addition, the GA has been encoded in MATLAB language and results have been compared with other works.

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Author Biography

  • Guillermo Tejada Muñoz, Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Electrónica y Eléctrica. Lima, Peru

    Electrical engineer and PhD in Industrial Engineering from the Universidad Nacional Mayor de San Marcos. Master in Electronic Engineering from the Universidade de São Paulo (Brazil). Currently working as Professor at the School of Electrical and Electronic Engineering of the UNMSM.

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Published

2020-01-02

Issue

Vol. 22 No. 2 (2019)

Section

Sistemas e Informática

License

Copyright (c) 2020 Guillermo Tejada Muñoz

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

AUTHORS RETAIN THEIR RIGHTS:

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b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the INDUSTRIAL DATA.

c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).

How to Cite

PID Controller with Real Number Genetic Algorithms. (2020). Industrial Data, 22(2), 213-234. https://doi.org/10.15381/idata.v22i2.16489