Self-tuning active noise control

Presents the design and implementation of a self-tuning active noise control (ANC) system suitable for reduction of unwanted noise emanating from a compact source in a three-dimensional non-dispersive (linear) propagation medium. The concept of self-tuning control has been utilised by properly integrating the processes of identification and control so that it suits the application. Moreover, as required by the application, a supervisory level of adaptation is added that is based on a performance criterion and activates automatically as the need may arise. The controller design procedure is based on an RLS identification method and optimal performance of the system. The algorithm is implemented on the TMS32010 digital signal processor and tested with the exhaust noise of a 100 cc motorcycle Comparative results are also given of the system performance employing a constant digital filter controller