VIRTUAL SENSING FOR ACTIVE NOISE CONTROL IN AIRCRAFT

Abstract

This paper focuses on the initial phase of designing a robust active noise control (ANC) system customized for aircraft cabin environments, using virtual sensors. This involves incorporating monitoring sensors and additional filters into the controller. Previous research has shown that ANC systems with remote sensors are highly sensitive to changes in the physical plants. The primary variations within an aircraft cabin originate from passenger presence, cargo, and cabin crew equipment, which can significantly impact system performance and stability. This study emphasizes the importance of evaluating the effects of such perturbations on the ANC system and applying predictive techniques to anticipate their influence without exhaustive measurement. The superposition method is explored to address different perturbation combinations, utilizing a simplified laboratory setup in a fully an-echoic environment. The objective is to assess various perturbation combinations within the an-echoic chamber, using different objects with reflective and absorptive surfaces, aiming to understand predictability across various scenarios using the superposition approach.