Title :
An estimator based on fuzzy IF-THEN rules for phasor tracking
Author :
Tao, C.W. ; Taur, J.S. ; Kuo, H.-C. ; Wu, J.C. ; Thompson, W.E.
Author_Institution :
Dept. of Electr. Eng., Nat. I-Lan Inst. of Agric. & Technol., Taiwan
Abstract :
An estimator based on fuzzy IF-THEN rules for phasor tracking is developed. Both the magnitude and the phase of a phasor signal are estimated. In our simulation, it is assumed that only noisy measurements of the phasor signal are available. The estimator based on fuzzy IF-THEN rules consists of Gaussian membership functions, min-“AND” inference, and centroid defuzzification. Examples are presented to illustrate the comparisons between a Kalman estimator and the fuzzy estimator. Simulation results show that the fuzzy estimator outperforms the Kalman estimator
Keywords :
Kalman filters; electrical engineering computing; fuzzy logic; fuzzy set theory; parameter estimation; phase estimation; signal processing; Gaussian membership functions; Kalman estimator; centroid defuzzification; complexors; fuzzy IF-THEN rules; fuzzy estimator; min-AND inference; noisy measurements; phasor signal; phasor tracking; simulation; Amplitude estimation; Fuzzy control; Fuzzy sets; Input variables; Kalman filters; Noise level; Phase estimation; Phase measurement; Phase noise; Uncertainty;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343621
