Title :
System considerations for adaptive modelling applied to active noise control
Author :
Eriksson, L.J. ; Allie, M.C.
Author_Institution :
Nelson Ind. Inc., Stoughton, WI, USA
Abstract :
Active noise-control systems using adaptive modeling must function in a complex electroacoustic environment that introduces many problems into the basic system identification problem. These include a complex primary plant, an acoustic feedback plant, high-order filters in the input and error paths, nonideal transducers, and a complex error path plant. In addition, the primary acoustic noise source contains a very broad range of frequencies that often exceeds the capabilities of the acoustic transducers and includes nonpropagating pseudosound due to turbulent flow. The authors discuss the application of adaptive digital signal processing to active noise control in this complex system. A complete active noise control system is described that uses the TMS320 family of digital signal processing microprocessors, and results are presented from an application using a centrifugal fan.<>
Keywords :
adaptive filters; digital signal processing chips; noise abatement; DSP chips; TMS320 family; acoustic feedback plant; active noise control system; adaptive digital signal processing; adaptive modelling; application; broad range of frequencies; centrifugal fan; complex electroacoustic environment; complex error path plant; complex primary plant; digital signal processing microprocessors; high-order filters; noise abatement; nonideal transducers; nonpropagating pseudosound; primary acoustic noise source; results; system considerations; system identification problem; turbulent flow; Acoustic noise; Acoustic transducers; Active noise reduction; Adaptive systems; Control systems; Digital signal processing; Feedback; Filters; System identification; Working environment noise;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo, Finland
DOI :
10.1109/ISCAS.1988.15423
