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Time-domain versus frequency-domain effort weighting in active noise control design
Author(s) -
Emmanuel Friot
Publication year - 2017
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.4973276
Subject(s) - weighting , tikhonov regularization , computer science , frequency domain , feed forward , control theory (sociology) , active noise control , noise (video) , regularization (linguistics) , actuator , a weighting , time domain , algorithm , control (management) , mathematics , noise reduction , acoustics , inverse problem , control engineering , artificial intelligence , engineering , physics , mathematical analysis , image (mathematics) , computer vision
Active noise control is often designed by minimizing an error index which includes a penalty on the actuator inputs. In this way, an effort-weighting parameter allows one to monitor the maximum voltages applied to the control sources. Two effort-weighting techniques have been widely implemented in previous studies, Tikhonov regularization for frequency-domain simulations and the leaky filtered-reference least mean square algorithm for real-time feedforward control. This paper introduces the formal connection between the weighting parameters of these two techniques. Simulations of a simple set-up show that, with these two connected parameters, the control performances are indeed very close.

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