Title :
Fuzzy phase-locked loops
Author :
Simon, Dan ; El-Sherief, Hossny
Author_Institution :
Syst. Integration Group, TRW Inc., San Bernardino, CA, USA
Abstract :
The problem of robust phase-locked loop (PLL) 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 PLLs offer performance comparable to analytically derived PLLs (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
Keywords :
fuzzy set theory; genetic algorithms; numerical analysis; parameter estimation; phase-locked loops; radionavigation; satellite relay systems; Global Positioning System; fuzzy PLL; fuzzy phase-locked loops; genetic algorithm; gradient descent method; high dynamics; high noise; performance; robust PLL design; simulation results; sinusoidal signal; time-varying phase; Control systems; Frequency estimation; Fuzzy control; Fuzzy systems; Global Positioning System; Phase estimation; Phase locked loops; Phase noise; Robustness; Satellites;
Conference_Titel :
Position Location and Navigation Symposium, 1994., IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7803-1435-2
DOI :
10.1109/PLANS.1994.303321