Extending a Combination of Map-Based and Adaptive Feedforward Control Algorithms for Active Noise Cancellation

Dominik Schubert1, Felix Gärner1, Simon Hecker2, Stefan Sentpali3, Martin Buss4

  • 1University of Applied Sciences Munich
  • 2University of Applied Sciences - Munich
  • 3university of applied sciences, faculty 03, munich
  • 4Tu Muenchen

Details

15:30 - 15:50 | Tue 20 Aug | Lau, 6-211 | TuC4.1

Session: Adaptive Control

Abstract

In order to reduce tonal orders of a combustion engine with electrical drives as acoustical actuators, a parallel control structure for active noise cancellation (ANC) applications is used. It consists of map-based and adaptive feedforward control algorithms to reduce the convergence time and improve the tracking behavior during fast changes of the disturbing motor order. This paper describes two extensions of the parallel control structure. A method to improve the noise reduction during the adaption process is proposed. Furthermore, a method is described to constrain the filter weights of the parallel control structure to avoid nonlinear distortions due to output constraints.