Tracking control of uncertain DC server motors using genetic fuzzy system

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

doi:10.1007/978-3-642-13495-1_74

Tracking control of uncertain DC server motors using genetic fuzzy system

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

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Advances in Swarm Intelligence - First International Conference, ICSI 2010, Proceedings
Pages	605-611
Number of pages	7
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-13495-1_74
Publication status	Published - 2010
Event	1st International Conference on Advances in Swarm Intelligence, ICSI 2010 - Beijing, China Duration: 2010 Jun 12 → 2010 Jun 15

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6145 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Conference on Advances in Swarm Intelligence, ICSI 2010
Country/Territory	China
City	Beijing
Period	2010/06/12 → 2010/06/15

Keywords

DC server motor
control systems
genetic algorithm

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-13495-1_74

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

Tracking control of uncertain DC server motors using genetic fuzzy system. / Hsieh, Wei Min; Leu, Yih Guang; Yang, Hao Cheng et al.
Advances in Swarm Intelligence - First International Conference, ICSI 2010, Proceedings. PART 1. ed. 2010. p. 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hsieh, WM, Leu, YG, Yang, HC & Lin, JY 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 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6145 LNCS, pp. 605-611, 1st International Conference on Advances in Swarm Intelligence, ICSI 2010, Beijing, China, 2010/06/12. https://doi.org/10.1007/978-3-642-13495-1_74

Hsieh WM, Leu YG, Yang HC, Lin JY. 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. 2010. p. 605-611. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-13495-1_74

Hsieh, Wei Min ; Leu, Yih Guang ; Yang, Hao Cheng et al. / Tracking control of uncertain DC server motors using genetic fuzzy system. Advances in Swarm Intelligence - First International Conference, ICSI 2010, Proceedings. PART 1. ed. 2010. pp. 605-611 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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Tracking control of uncertain DC server motors using genetic fuzzy system

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Keywords

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