Virtual error sensing for active noise control in a one-dimensional waveguide:  Performance prediction versus measurement (L)

Abstract

Virtual error sensing is a novel active noise control technique, which is designed to produce a zone of attenuation remote from the physical error sensors. In this letter virtual sensing is investigated for tonal noise (both on and off resonance) in a long narrow duct. The performance of the virtual error sensors using real-time control is compared to the performance determined from an analytical model and the performance determined through the postprocessing of experimental data. Two examples of control using postprocessed experimental transfer function data are presented; the first relied on transfer functions measured using broadband noise and the second relied on transfer functions measured at discrete frequencies. The results highlight the significant errors encountered as a result of using broadband transfer functions in lightly damped enclosures.

Recent advances on active noise control: open issues and innovative applications

“…Currently, two classes of algorithms have been developed. The first class [175][176][177][178] requires system models to process data acquired from physical sensors. A training (offline) stage is required to measure the system model from physical sensors to virtual sensors, which will be used in the online operation of the virtual sensing ANC algorithm.…”

“…10. This problem can be solved using virtual sensing techniques [173][174][175][176][177][178][179], which are also critical for many practical ANC applications that have to place error sensors away from the desired control locations.…”

A Review of Virtual Sensing Algorithms for Active Noise Control

“…The performance of forward difference prediction virtual sensors has been evaluated in a long narrow duct and in a free field, both numerically and experimentally, by a number of authors [40][41][42][43][44][45][46][47]. Using either linear or quadratic prediction techniques, these virtual sensors outperform the physical microphones in terms of the level of attenuation achieved at the virtual location.…”

Spatial Noise-Field Control With Online Secondary Path Modeling: A Wave-Domain Approach

“…A technique known as virtual sensing [12] was proposed. This technique requires a training stage to measure the system model from physical sensors to virtual sensors, which later on will be used in the online operation of the virtual sensing ANC system [13]. Obviously, the technique is highly dependent on the accuracy of the system model obtained during the training stage; any change of the acoustic environment or the physical sensor locations would result in system failure.…”