Active adaptive noise control for systems with cancellation path상쇄계가 존재하는 시스템을 위한 능동 적응 제어

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We must consider ``cancellation path`` when we deal with An adaptive algorithm in ANC system, otherwise algorithm become unstable. Existence of the cancellation path requires heavy computational power to run the adaptive algorithm especially when it is time-varying or of MIMO-type. In such situations, the algorithm has to be complex and suffer from slow convergence speed. There are three major objectives for the ANC algorithms to be developed: (a) computational effectiveness; (b) robustness to the environmental variations; (c) and fast attenuation rate of the residual error. The computational effectiveness will be pursued by simplifying the cancellation path model or by omitting some part of the algorithm and decoupling the MIMO-type cancellation path. Robustness to the environmental variations will be achieved by on-line cancellation path modeling technique so that the algorithm can adjust to the change in the cancellation path. Fast convergence can be achieved by using a modified error and/or normalization technique. It also can be accomplished by decoupling the MIMO cancellation path. Chapter I introduces the ANC system with historical review, objective, and scope of the dissertation. Successive three chapters describe three different but related ways to achieve specific objectives. In Chapter II, to reduce the amount of computations while accepting some performance degradation, an approach intentionally simplifying the cancellation path is proposed. The steady state weight vector solution in the presence of model error is investigated to show the validity of using simplified cancellation path model. DXLMS algorithm, being based on the hypothesis that the cancellation path model can be represented by a delay, is proven to be useful for narrow-band-noise cancellation application. In Chapter III, the shortcomings of the conventional on-line approaches such as the biased estimation of the cancellation path model and the performance deterioration due to error i...
Advisors
Park, Young-Jinresearcher박영진researcher
Description
한국과학기술원 : 기계공학과,
Publisher
한국과학기술원
Issue Date
1998
Identifier
143411/325007 / 000935105
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 기계공학과, 1998.8, [ xi, 97 p. ]

Keywords

Adaptive signal processing; Acitve noise control; Feedforward algorithm; 피드포워드 알고리즘; 적응신호처리; 능동소음제어

URI
http://hdl.handle.net/10203/42919
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=143411&flag=dissertation
Appears in Collection
ME-Theses_Ph.D.(박사논문)
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