Evaluation Indexes and Influencing Factors of Multichannel Adaptive Notch Algorithm
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TB55+.2

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    Abstract:

    Based on the state space equation of the discrete system with the adaptive notch algorithm, two evaluation indexes of convergence speed and steady-state error are proposed, and the calculation methods of convergence rate and steady-state error gain are deduced. Moreover, the effects of convergence rate, notch frequency, number of channels, secondary path characteristics and reference signal on convergence rate and steady-state error are analyzed. Furthermore, the simulation results are verified by experiments.

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ZHANG Lijun, PI Xiongfei, MENG Dejian, ZHANG Pinjie. Evaluation Indexes and Influencing Factors of Multichannel Adaptive Notch Algorithm[J].同济大学学报(自然科学版),2020,48(01):68~77

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History
  • Received:February 28,2019
  • Revised:November 06,2019
  • Adopted:September 17,2019
  • Online: January 20,2020
  • Published: