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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11129

Title: The design of a genetic algorithm-based fuzzy pulse pump controller for a frequency-locked servo system
Authors: Chen, Liang‐Rui;Hsieh, G. C.;Lee, H. M.
Contributors: 電機工程系
Keywords: Genetic algorithm-based fuzzy pulse pump controller;Mixed elitist and fuzzy clustering selection strategy;Frequency-locked servo system.
Date: 2007-01
Issue Date: 2012-06-05T04:33:30Z
Publisher: 中國工程學會
Abstract: In this paper, a Genetic Algorithm-based Fuzzy Pulse Pump Controller (GAFPPC) 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 GFCFLS 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.
Relation: Journal of the Chinese Institute of Engineers, 30(1): 91-102
Appears in Collections:[電機工程學系] 期刊論文

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