2007 7th International Conference on Power Electronics and Drive Systems 2007
DOI: 10.1109/peds.2007.4487936
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A Fuzzy Adaptive Detecting Approach of Harmonic Currents for Active Power Filter

Abstract: Successful control of active power filter requires an accurate current reference. Base on adaptive interference canceling theory, this paper presents an adaptive least mean squares (LMS) algorithm employing fuzzy step size for the fast estimation of harmonic current signals in power networks. The learning parameter of the proposed algorithm is constrained by two variable parameters. By using a fuzzy logic based step size update method which causes an automatic suitable adjustment of the step size, the present … Show more

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Cited by 2 publications
(2 citation statements)
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“…It is worth noting that the available data are not considered to be subject to uncertainty or inaccuracy. As for such problems, fuzzy logic [34][35][36] may bring better results.…”
Section: Verification: Casementioning
confidence: 99%
“…It is worth noting that the available data are not considered to be subject to uncertainty or inaccuracy. As for such problems, fuzzy logic [34][35][36] may bring better results.…”
Section: Verification: Casementioning
confidence: 99%
“…But it requires prior trainings of the network. In spite of the superior performance, the predictive controllers have two main drawbacks: First, they require considerable calculations; second, a good knowledge of system parameters is critical for their implementation [36][37][38]. In order to reduce computational burden, very often Artificial Neural network predictor is used [39].…”
Section: Predictive Controlmentioning
confidence: 99%