IEEE Transactions on Fuzzy Systems
The problem of robust phase-locked loop design has attracted attention for many years, particularly since the advent of the global positioning system. This paper proposes and demonstrates the use of a fuzzy PLL to estimate the time-varying phase of a sinusoidal signal. It is shown via simulation results that fuzzy PLL's offer performance comparable to analytically derived PLL's (e.g. Kalman filters and H∞ estimators) when the phase exhibits high dynamics and high noise. The fuzzy PLL rules are optimized using a gradient descent method and a genetic algorithm
Simon, Daniel J. and El-Sherief, Hossny, "Fuzzy Logic for Digital Phase-Locked Loop Filter Design" (1995). Electrical Engineering & Computer Science Faculty Publications. 152.
Simon, D. & El-Sherief, H. (1995). Fuzzy logic for digital phase-locked loop filter design. Fuzzy Systems, IEEE Transactions on 3(2), 211-218, doi: 10.1109/91.388174.
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