Genetic algorithm-based fuzzy pulse-pump controller for phase/frequency-locked servomechanism

G. C. Hsieh, H. M. Lee, Liang-Rui Chen, Y. J. Penth

Research output: Contribution to conferencePaper

Abstract

A fuzzy-clustering-based genetic algorithm (FC-GA) is presented to build a genetic algorithm-based fuzzy pulse-pump controller (GA-FPPC) for achieving fuzzy control-based phase/frequency-locked servomechanism (FC-PFLS). A weighted integral absolute error (WIAE) is presented as the objective function of FC-GA for optimizing the locking behavior of the genetic algorithm-based FC-PFLS (GFC-PFLS). A mixed elitist and fuzzy clustering selection strategy is proposed to achieve high diversity of the FC-GA. A tuning strategy by FC-GA can minimize the overshoot and fast the locking performance of the GFC-PFLS. A design example of two-dimensional X-Y mode GFC-PFLS is realized. Simulation and experiment are conducted to assess the system performance, which is close to the theoretical prediction.

Original languageEnglish
Pages81-86
Number of pages6
Publication statusPublished - 1998 Jan 1
EventProceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4) - Aachen, Ger
Duration: 1998 Aug 311998 Sep 4

Other

OtherProceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4)
CityAachen, Ger
Period98-08-3198-09-04

Fingerprint

Servomechanisms
Fuzzy sets
Fuzzy control
Error analysis
Genetic algorithms
Fuzzy clustering
Pumps
Controllers
Computer simulation
Tuning

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Hsieh, G. C., Lee, H. M., Chen, L-R., & Penth, Y. J. (1998). Genetic algorithm-based fuzzy pulse-pump controller for phase/frequency-locked servomechanism. 81-86. Paper presented at Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4), Aachen, Ger, .
Hsieh, G. C. ; Lee, H. M. ; Chen, Liang-Rui ; Penth, Y. J. / Genetic algorithm-based fuzzy pulse-pump controller for phase/frequency-locked servomechanism. Paper presented at Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4), Aachen, Ger, .6 p.
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abstract = "A fuzzy-clustering-based genetic algorithm (FC-GA) is presented to build a genetic algorithm-based fuzzy pulse-pump controller (GA-FPPC) for achieving fuzzy control-based phase/frequency-locked servomechanism (FC-PFLS). A weighted integral absolute error (WIAE) is presented as the objective function of FC-GA for optimizing the locking behavior of the genetic algorithm-based FC-PFLS (GFC-PFLS). A mixed elitist and fuzzy clustering selection strategy is proposed to achieve high diversity of the FC-GA. A tuning strategy by FC-GA can minimize the overshoot and fast the locking performance of the GFC-PFLS. A design example of two-dimensional X-Y mode GFC-PFLS is realized. Simulation and experiment are conducted to assess the system performance, which is close to the theoretical prediction.",
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Hsieh, GC, Lee, HM, Chen, L-R & Penth, YJ 1998, 'Genetic algorithm-based fuzzy pulse-pump controller for phase/frequency-locked servomechanism' Paper presented at Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4), Aachen, Ger, 98-08-31 - 98-09-04, pp. 81-86.

Genetic algorithm-based fuzzy pulse-pump controller for phase/frequency-locked servomechanism. / Hsieh, G. C.; Lee, H. M.; Chen, Liang-Rui; Penth, Y. J.

1998. 81-86 Paper presented at Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4), Aachen, Ger, .

Research output: Contribution to conferencePaper

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N2 - A fuzzy-clustering-based genetic algorithm (FC-GA) is presented to build a genetic algorithm-based fuzzy pulse-pump controller (GA-FPPC) for achieving fuzzy control-based phase/frequency-locked servomechanism (FC-PFLS). A weighted integral absolute error (WIAE) is presented as the objective function of FC-GA for optimizing the locking behavior of the genetic algorithm-based FC-PFLS (GFC-PFLS). A mixed elitist and fuzzy clustering selection strategy is proposed to achieve high diversity of the FC-GA. A tuning strategy by FC-GA can minimize the overshoot and fast the locking performance of the GFC-PFLS. A design example of two-dimensional X-Y mode GFC-PFLS is realized. Simulation and experiment are conducted to assess the system performance, which is close to the theoretical prediction.

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Hsieh GC, Lee HM, Chen L-R, Penth YJ. Genetic algorithm-based fuzzy pulse-pump controller for phase/frequency-locked servomechanism. 1998. Paper presented at Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4), Aachen, Ger, .