Designing Fuzzy Artificial Organic Networks Using Sliding-Mode Control

Pedro Ponce, Antonio Rosales, Arturo Molina, Raja Ayyanar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Since direct-current (DC) drives are commonly used electric drives, it is imperative to improve their operation under sudden torque-load disturbances. Several industrial applications work under torque-load changes that strongly affect the speed response of the motor, thus deteriorating the performance of the DC drive. On the other hand, discontinuous sliding-mode control (SMC) ensures robustness against disturbances and changes in parameters but has certain drawbacks, such as chattering. In this paper, a fuzzy-logic controller (FLC) based on artificial organic networks is proposed to adjust the control signal of the SMC. This control provides a smooth signal that reduces chatter. The Lyapunov stability of the DC motor driven by the proposed SMC with a fuzzy organic controller is tested and stability margins are computed. The proposed controller is validated via simulation results showing an excellent DC-drive performance. In fact, the fuzzy artificial organic controller can adjust the command signal to improve the transitory response of the DC drive. The proposed controller achieves a good performance for speed controllers using brushless DC motors.

Original languageEnglish (US)
Title of host publicationAdvances in Soft Computing - 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Proceedings
EditorsLourdes Martínez-Villaseñor, Ildar Batyrshin, Antonio Marín-Hernández
PublisherSpringer
Pages546-556
Number of pages11
ISBN (Print)9783030337483
DOIs
StatePublished - Jan 1 2019
Event18th Mexican International Conference on Artificial Intelligence, MICAI 2019 - Xalapa, Mexico
Duration: Oct 27 2019Nov 2 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11835 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th Mexican International Conference on Artificial Intelligence, MICAI 2019
CountryMexico
CityXalapa
Period10/27/1911/2/19

Keywords

  • Artificial hydrocarbon networks
  • Artificial organic networks
  • DC motor
  • Intelligent control
  • Sliding mode control

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Ponce, P., Rosales, A., Molina, A., & Ayyanar, R. (2019). Designing Fuzzy Artificial Organic Networks Using Sliding-Mode Control. In L. Martínez-Villaseñor, I. Batyrshin, & A. Marín-Hernández (Eds.), Advances in Soft Computing - 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Proceedings (pp. 546-556). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11835 LNAI). Springer. https://doi.org/10.1007/978-3-030-33749-0_44