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  • 标题:Filtered-error recursive least squares optimization for disturbance feedforward control in active vibration isolation
  • 本地全文:下载
  • 作者:M.A. Beijen ; W.B.J. Hakvoort
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:15
  • 页码:448-453
  • DOI:10.1016/j.ifacol.2019.11.716
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper addresses the filtered-error recursive least squares (FeRLS) algorithm for disturbance feedforward control in active vibration isolation systems. The controller structure consists of a generalized finite-impulse response (FIR) filter to include a set of pre-determined poles and self-tuning zeros. In addition, residual noise shaping is included to add frequency weighting and improve robustness. Compared to existing filtered-error least mean squares (FeLMS) algorithms, two major improvements are distinguished. First, faster convergence is obtained without the necessity of pre-whitening and an orthonormal basis. Second, the parameters are estimated without steady-state variance. These improvements are demonstrated using simulation studies, which show the potential of the algorithm in active vibration isolators.
  • 关键词:KeywordsActive vibration isolationdisturbance feedforward controlrecursive least squares
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