Hybrid Partitioned Frequency/Time domain adaptive filtering algorithm for shaker control

Martino O. Ajangnay, Matthew W. Dunnigan, Barry W. Williams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A Hybrid Partitioned Frequency/Time domain adaptive filtering algorithm for vibration shock control is proposed. Due to the complexity of the electrodynamic shaker transfer function, the FIR based model of this transfer function requires thousands of filter weights. The Hybrid Partitioned Frequency/Time domain approach for computing the shaker model and inverse controller model is proposed, such that when this controller is cascaded with the shaker/specimen system, the output of the controlled system tracks the reference signal. The control system algorithm uses both frequency domain and time domain adaptive filtering methods. The model of the shaker system was computed using the partitioned block frequency domain adaptive FIR algorithm where the weights are partitioned in a non-overlapped fashion. The control algorithm is designed to implement the filtered-x algorithm in the time domain. The simulation and practical results indicate the effectiveness of this combined time and frequency algorithm.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Circuits, Signals, and Systems
Pages29-34
Number of pages6
Publication statusPublished - 2004
EventProceedings of the IASTED International Conference on Circuits, Signals, and Systems - Clearwater Beach, FL, United States
Duration: 28 Nov 20041 Dec 2004

Conference

ConferenceProceedings of the IASTED International Conference on Circuits, Signals, and Systems
CountryUnited States
CityClearwater Beach, FL
Period28/11/041/12/04

Keywords

  • Adaptive filtering
  • Electrodynamic shaker
  • Filtered-x
  • FIR model
  • Hybrid
  • Inverse adaptive control

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  • Cite this

    Ajangnay, M. O., Dunnigan, M. W., & Williams, B. W. (2004). Hybrid Partitioned Frequency/Time domain adaptive filtering algorithm for shaker control. In Proceedings of the IASTED International Conference on Circuits, Signals, and Systems (pp. 29-34)