An adaptive strategy for vehicle vibration and noise cancellation

The desire for increased comfort in both ride and quietness of passenger vehicles is receiving increased attention. To address this concern we develop an active system for vibration control that reduces vibrations on the body and simultaneously reduces noise inside the passenger cabin. The algorithm development is based upon well known principles from adaptive filter theory. The hardware implementation within a concept vehicle dedicated to noise and vibration research is presented. To gain insight with regard to vibration control, experimental modal vibration data are quantified to derive a forced response prediction model. As part of this work we investigate an approach to positioning cancellation forces on the vehicle structure in order to achieve the best noise and vibration reduction performance. Although the technology to date has limitations primarily due to situational physics, we present representative test results which show promise for the prescribed approach to active control of engine and chassis vibrations.