Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Application of a modified wavelet threshold denoising algorithm in system identification of WPTS

  • Qiming Huang (School of Electrical Engineering and Automation, Wuhan University) ;
  • Qijun Deng (School of Electrical Engineering and Automation, Wuhan University) ;
  • Zhifan Li (School of Electrical Engineering and Automation, Wuhan University) ;
  • Peng Luo (School of Electrical Engineering and Automation, Wuhan University)
  • Received : 2023.10.30
  • Accepted : 2024.02.21
  • Published : 2024.07.20
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Abstract

System identification is an effective method to model a wireless power transfer system when it is used for wireless charging of electric vehicles. However, system identification using raw data directly is often unsatisfactory due to the inevitable noise interference from system operation and signal acquisition. This study proposes an improved wavelet threshold denoising (WTD) algorithm with optimized algorithm parameters and design methods. First, the number of decomposition layers is determined based on the signal spectrum diagram. Second, adaptive thresholds are designed for different decomposition layers. Third, the hierarchical threshold is combined with the hardness adjustable threshold function. Last, recursive least squares is employed to obtain a system model with the data denoised by the proposed method. Experiments demonstrate that the improved WTD method increases the accuracy of system identification to 85.42%, which verifies the effectiveness of the proposed method. An internal model controller is also designed based on the obtained model.

Keywords

Acknowledgement

This work was supported in part by the National Natural Science Foundation of China under Grant 51977151 and in part by the Fundamental Research Funds for the Central Universities under Grant 2042021gf0011.

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