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

Abstract 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.

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