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An estimator based on fuzzy IF-THEN rules for phasor tracking

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5 Author(s)
Tao, C.W. ; Dept. of Electr. Eng., Nat. I-Lan Inst. of Agric. & Technol., Taiwan ; Taur, J.S. ; Kuo, H.-C. ; Wu, J.C.
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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

Published in:

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Date of Conference:

26-29 Jun 1994