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.
|Number of pages||12|
|Journal||Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an|
|Publication status||Published - 2007 Jan 1|
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