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A Pseudo-Natural Sampling Algorithm for Low-Cost Low-Distortion Asymmetric Double-Edge PWM Modulators

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Abstract

In this paper, a pseudo-natural sampling algorithm for correcting the harmonic distortion produced by asymmetric double-edge uniform-sampling pulse-width modulation is proposed. The algorithm uses the decomposability of the asymmetric double-edge pulse-width modulation process and the Lagrange numerical differentiation method for calculating the pseudo-natural sampling points to obtain a harmonic distortion correction effect. The computational complexity of the algorithm is low because it requires only three shifts, six additions and three multiplications to calculate each of the pseudo-natural sampling points. A complete experimental system based on a single field programmable gate array was built to verify the effectiveness of the proposed algorithm and to compare it with other reported kindred algorithms. The results obtained show that the proposed algorithm has lower hardware requirements and better harmonic distortion correction than other related algorithms.

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Acknowledgments

This work is supported by the Science and Technology Research and Development Program of Shaanxi Province (Grant No. 2012K06-10) and the Natural Science Foundation of Shaanxi Province (Grant No. 2013JQ8039).

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Authors and Affiliations

  1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, 710129, Shaanxi, China

    Zeqi Yu, Yangyu Fan, Longfei Shi & Guoyun Lv

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  1. Zeqi Yu
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Correspondence to Zeqi Yu.

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Yu, Z., Fan, Y., Shi, L. et al. A Pseudo-Natural Sampling Algorithm for Low-Cost Low-Distortion Asymmetric Double-Edge PWM Modulators. Circuits Syst Signal Process 34, 831–849 (2015). https://doi.org/10.1007/s00034-014-9877-3

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