Fuzzy Phase-Locked Loops

Daniel J. Simon; Hossny El-Sherief

doi:10.1109/PLANS.1994.303321

Fuzzy Phase-Locked Loops

Daniel J. Simon
, Hossny El-Sherief

TRW System Integration Group

Research output: Contribution to journal › Article › peer-review

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

Original language	American English
Journal	IEEE Position, Location and Navigation Symposium
DOIs	https://doi.org/10.1109/PLANS.1994.303321
State	Published - Apr 1 1994

Keywords

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

Disciplines

Electrical and Computer Engineering

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10.1109/PLANS.1994.303321License: CC BY

http://olc1.ohiolink.edu/record=b17083446~S0

Cite this

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title = "Fuzzy Phase-Locked Loops",

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 = "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",

author = "Simon, \{Daniel J.\} and Hossny El-Sherief",

note = "D. Simon and H. El-Sherief. (1994). Fuzzy Phase-Locked Loops. IEEE Position, Location and Navigation Symposium, Las Vegas, 252-259, doi: 10.1109/PLANS.1994.303321.",

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doi = "10.1109/PLANS.1994.303321",

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N2 - 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

AB - 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

KW - Global Positioning System

KW - Fuzzy PLL

KW - Fuzzy phase-locked loops

KW - Genetic algorithm

KW - Gradient descent method

KW - High dynamics

KW - High noise

KW - Performance

KW - Robust PLL design

KW - Simulation results

KW - Sinusoidal signal

KW - Time-varying phase

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UR - http://olc1.ohiolink.edu/record=b17083446~S0

U2 - 10.1109/PLANS.1994.303321

DO - 10.1109/PLANS.1994.303321

M3 - Article

JO - IEEE Position, Location and Navigation Symposium

JF - IEEE Position, Location and Navigation Symposium

ER -

Fuzzy Phase-Locked Loops

Abstract

Keywords

Disciplines

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