EVALUATION OF AN ACTIVE SOUND QUALITY CONTROL SYSTEM IN A VIRTUAL CAR DRIVING SIMULATOR

摘要

Active Sound Quality Control (ASQC) is a possible solution for improving vehicle interior sound. ASQC systems can be installed in vehicles in order to adapt engine noise to customer preferences. They bring human perception criteria other than loudness into the control design, differentiating them from conventional ANC (Active Noise Control) systems which are designed to reduce the overall sound pressure level. This paper reports on the implementation of an ASQC system in a Virtual Car Sound (VCS) driving simulator. The ASQC system employs an adaptive feedforward control scheme, including a normalized reference signal for compensating the secondary path dynamics as well as equalization capabilities to control the various engine harmonics. The control performance is evaluated on a passenger car for various driving scenarios, including run-up and stationary driving. A specific analysis is performed on the convergence speed of the control algorithm, illustrating its capability to cope with varying engine speeds. Finally, the ASQC control performance is assessed in comparison to passive structural modification scenarios using a Transfer Path Analysis (TPA) model of the vehicle.