2011 IEEE International Symposium on Industrial Electronics 2011
DOI: 10.1109/isie.2011.5984173
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High precision compensation for high power Hybrid Active Power Filter based on repetitive control algorithm

Abstract: Hybrid Active Power Filter (HAPF), which consists of Passive Power Filter (PPF) and Active Power Filter (APF) in series, is suitable for large capacity and high voltage application.Conventional controllers e.g. PI and proportional resonant ones etc., have their disadvantages diversely to control the output voltage of the APF part as a controlled harmonic voltage source as desired, which is crucial to the whole HAPF. In this paper, a high-performance control strategy based on PI-inner and repetitive-control-ext… Show more

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Cited by 7 publications
(1 citation statement)
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References 15 publications
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“…Each of these methods offers some of the desired goals of fast dynamic response, low steady-state tracking error, low computational burden, low sensitivity to model parameter variations, etc. Proportional [19], proportional-resonant [8], [14], fuzzy [20], repetitive [21], deadbeat [9], [11]- [12], model predictive [22], and nonlinear controllers [13], [23] are some of the common approaches, which can be categorized into model-based and non-modelbased control techniques. The deadbeat control method is a model-based current control technique which is used in APF and HAPF control loops [9], [11]- [12].…”
Section: Fmentioning
confidence: 99%
“…Each of these methods offers some of the desired goals of fast dynamic response, low steady-state tracking error, low computational burden, low sensitivity to model parameter variations, etc. Proportional [19], proportional-resonant [8], [14], fuzzy [20], repetitive [21], deadbeat [9], [11]- [12], model predictive [22], and nonlinear controllers [13], [23] are some of the common approaches, which can be categorized into model-based and non-modelbased control techniques. The deadbeat control method is a model-based current control technique which is used in APF and HAPF control loops [9], [11]- [12].…”
Section: Fmentioning
confidence: 99%