Design and Implementation of a Robust Predictive Control Scheme for Active Power Filters

Yang Han; Lin Xu

Design and Implementation of a Robust Predictive Control Scheme for Active Power Filters

Yang Han

Lin Xu

Vol. 11, No. 5, pp. 751-758, Sep. 2011

10.6113/JPE.2011.11.5.751

Active Power Filter (APF)

Adaline

Harmonic contamination

Robust control

Smith-predictor

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Abstract

This paper presents an effective robust predictive control scheme for the active power filter (APF) using a smith-predictor based current regulator, which show superior features when compared to proportional-integral (PI) controllers in terms of an enhanced closed-loop bandwidth and an improved current tracking accuracy. A moving average filter (MAF) is implemented using a field programmable gate array (FPGA) for signal pre-processing to eliminate the switching ripple contamination. An adaptive linear neural network (ADALINE) is used for individual harmonic estimation to achieve selective compensation purpose. The effectiveness and validity of the devised control algorithm are confirmed by extensive simulation and experimental results.

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Cite this article

[IEEE Style]

Y. Han and L. Xu, "Design and Implementation of a Robust Predictive Control Scheme for Active Power Filters," Journal of Power Electronics, vol. 11, no. 5, pp. 751-758, 2011. DOI: 10.6113/JPE.2011.11.5.751.

[ACM Style]

Yang Han and Lin Xu. 2011. Design and Implementation of a Robust Predictive Control Scheme for Active Power Filters. Journal of Power Electronics, 11, 5, (2011), 751-758. DOI: 10.6113/JPE.2011.11.5.751.