New simple filtered-x algorithm for parallel Hammerstein systems

Tomohiro Ohno, Akira Sano, Hiromitsu Ohmori

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

Abstract

A new nonlinear filtered-x algorithm is proposed for adaptive feedforward compensation for parallel Hammerstein systems, which has many applications such as nonlinear active noise control and predistortion for nonlinear high power amplifiers. To attenuate the compensation error, a virtual error and prediction error are introduced and forced into zero by adjusting three nonlinear adaptive filters in an on-line manner. It is shown that the convergence of the compensation error to zero can be assured by forcing the prediction error and virtual error to zero separately. The proposed method can adjust the adaptive feedforward controller by using the newly introduced virtual error, unlike the ordinary nonlinear filtered-x algorithm using the compensation error directly. Furthermore, the PE property of the reference signal is not needed, which is a great advantage of the proposed direct approach. Its effectiveness is examined and clarified in comparison with an ordinary nonlinear filtered-x algorithm in numerical simulations.

Original languageEnglish
Title of host publicationICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
Pages4503-4507
Number of pages5
Publication statusPublished - 2009 Dec 1
EventICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 - Fukuoka, Japan
Duration: 2009 Aug 182009 Aug 21

Publication series

NameICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

Other

OtherICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
CountryJapan
CityFukuoka
Period09/8/1809/8/21

Keywords

  • Adaptive feedforward control
  • Filtered-x algorithm
  • Hammerstein system
  • Nonlinear filtered-x algorithm

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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