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  • 标题:Optimal Feedforward Preview Control by FIR Filters
  • 本地全文:下载
  • 作者:Johannes N. Strohm ; Boris Lohmann
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:5115-5120
  • DOI:10.1016/j.ifacol.2017.08.779
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe paper presents a new method for designing an optimal feedforward preview controller for asymptotically stable single-input single-output (SISO) systems. We conduct an optimization based on an impulse response representation of the system’s dynamics for a chosen control horizon. This leads to an optimal deconvolution that proactively exploits the reference or disturbance signal’s preview information to calculate the control input for a desired output. In order to extend this deconvolution to arbitrarily long input signals, we show that, under certain circumstances, a finite impulse response (FIR) filter can be build from it. This filter can be seen as the system’s optimized inverse, which also applies to non-minimum phase systems. Since optimization is done offline, the resulting filter is computationally inexpensive and easily implemented. Its effectiveness is shown by applying the proposed method to a sample system.
  • 关键词:KeywordsFIR filterProactive feedforward controlPreview controlOptimal filterPredictive FIRSISONonminimum phase inverse
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