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Implementation of a robust complex extended Kalman filter with LabVIEW for detection in a distorted signal

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Abstract

This article proposes the PC-based LabVIEW as the software to develop the algorithm of the robust complex extended Kalman filter (RCEKF) to detect the parameters of the voltage signal in power systems. The hardware used is a sample-and-hold card and a data acquisition (DAQ) card to extract the data from an outside system to the PC, and the program will compute the amplitude, frequency, and phase of the voltage signal with RCEKF. To validate the performance of RCEKF, the voltage signal from a function generator was applied to check the feasibility of the algorithm. This application was also used in the Taiwan Power Company (TPC) secondary substation in Sijhou, Taiwan.

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Authors and Affiliations

  1. Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Yunlin, Taiwan

    Wen-Bin Lin

  2. Department of Electrical Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin, 640, Taiwan

    Huann-Keng Chiang

  3. Department of Electrical Engineering, National Formosa University, Yunlin, Taiwan

    Kuang-Rong Shih

  4. Electronic Vehicle and System Verification Group R & D Division, Automotive Research and Testing Center, Changhua, Taiwan

    Chien-An Chen

Authors
  1. Wen-Bin Lin
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  2. Huann-Keng Chiang
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  3. Kuang-Rong Shih
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  4. Chien-An Chen
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Corresponding author

Correspondence to Huann-Keng Chiang.

Additional information

This work was presented in part at the 15th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2010

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Lin, WB., Chiang, HK., Shih, KR. et al. Implementation of a robust complex extended Kalman filter with LabVIEW for detection in a distorted signal. Artif Life Robotics 15, 473–477 (2010). https://doi.org/10.1007/s10015-010-0848-x

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  • DOI: https://doi.org/10.1007/s10015-010-0848-x

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