Tracking control of uncertain DC server motors using genetic fuzzy system

Wei Min Hsieh, Yih-Guang Leu, Hao Cheng Yang, Jian You Lin

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

1 Citation (Scopus)

Abstract

A controller of uncertain DC server motor is presented by using the fuzzy system with a real-time genetic algorithm. The parameters of the fuzzy system are online adjusted by the real-time genetic algorithm in order to generate appropriate control input. For the purpose of on-line evaluating the stability of the closed-loop system, an energy fitness function derived from backstepping technique is involved in the genetic algorithm. According to the experimental results, the genetic fuzzy control scheme performs on-line tracking successfully.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - First International Conference, ICSI 2010, Proceedings
Pages605-611
Number of pages7
EditionPART 1
DOIs
Publication statusPublished - 2010 Jul 21
Event1st International Conference on Advances in Swarm Intelligence, ICSI 2010 - Beijing, China
Duration: 2010 Jun 122010 Jun 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6145 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Advances in Swarm Intelligence, ICSI 2010
CountryChina
CityBeijing
Period10/6/1210/6/15

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Keywords

  • DC server motor
  • control systems
  • genetic algorithm

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hsieh, W. M., Leu, Y-G., Yang, H. C., & Lin, J. Y. (2010). Tracking control of uncertain DC server motors using genetic fuzzy system. In Advances in Swarm Intelligence - First International Conference, ICSI 2010, Proceedings (PART 1 ed., pp. 605-611). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6145 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-13495-1_74