The design of a genetic algorithm-based fuzzy pulse pump controller for a frequency-locked servo system

Liang Rui Chen, Guan Chyun Hsieh, Hahn Ming Lee

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In this paper, a Genetic Algorithm-based Fuzzy Pulse Pump Controller (GA-FPPC) is proposed to realize a Frequency-Locked Servo system (FLS). In order to get a better convergence and a higher diversity in the genetic algorithm, a Mixed Elitist and Fuzzy Clustering (MEFC) selection strategy is proposed. A prototype of the GFC-FLS is tested to assess the system performance. In comparison with the FPC and the SVDPC, the acquisition time of the GA-FPPC is improved over than 18%. In particular, there is no overshoot in GA-FPPC for any servo distances. In addition, the GA-FPPC has the best tracking performance of these three controllers. These demonstrate that GA-FPPC can actually provide an appropriate pump voltage to fast locking response without overshoot, meeting the theoretical prediction.

Original languageEnglish
Pages (from-to)91-102
Number of pages12
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an
Issue number1
Publication statusPublished - 2007 Jan 1


All Science Journal Classification (ASJC) codes

  • Engineering(all)

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