An easy tuning fuzzy pulse pump controller for a phase/frequency locked loop servomechanism

Fuzzy set theory had been successfully used to develop a fuzzy pulse pump controller (FPPC) for a phase/frequency locked loop servomechanism (PFLS). For self-tuning the membership functions and control rules of the FPPC, a genetic algorithm has been used to construct a FPPC. However, this self-tuning approach is time-consuming in obtaining a near optimal solution. In this paper, an easy tuning fuzzy pulse pump controller (ET-FPPC) is proposed for solving the above mentioned problem. ET-FPPC is designed and constructed by using the α-cut based adjustable defuzzification method (α-ADM). Only one parameter needs to be tuned in the ET-FPPC without tuning the membership functions and control rules. Finally, simulation and experiment are conducted and their results are very close to the theoretical prediction. In comparison with the fuzzy pulse pump controller and the adaptive digital pump controller, the acquisition time of the PFLS is reduced by 45% and 57%, respectively