Handling large model uncertainty in adaptive feedback noise attenuation by overparametrization

Adaptive feedback noise attenuation is a very efficient way of strongly attenuating multiple tonal and narrow band disturbances with unknown time varying characteristics. These adaptive schemes implement the internal model principle (IMP) for canceling combined Youla Kucera (YK) parametrization which allows to directly tune disturbance compensation filter without explicit identification model. Efficient use these requires good knowledge compensatory path model, can be obtained by experimental system identification. However, there are potential applications where characteristics may change significantly during operation this lead instability system. The paper addresses problem handling large plant uncertainties overparametrization filter. A methodology designing cancelers in presence proposed. In addition overparametrization, specific design linear controller has done order satisfy frequency condition range variations frequencies Experimental validation on relevant active control bench test.