Adaptive Vold-Kalman filter FXLMS scheme for harmonic sound quality control

Abstract

Active sound quality control (ASQC) systems for engine noise in an automobile always involve the task of improving the order sound linearity with revolving speed and balancing the proportion of each order’s contribution to the total noise. However, most current ASQC algorithms can not control the sound from the perspective of the order quantitative target. Therefore, a new algorithm, in this paper, is proposed to control the harmonic sound in terms of its order profiles. The algorithm uses the adaptive Vold-Kalman filter (VKF) to track the concerned order of disturbance and schedules the gain factors by calculating the ratio of predefined target amplitudes to the tracked disturbance amplitudes. The gain factors are used to tune the controller output of corresponding orders, which enables the algorithm to equalize single or multiple orders independently. Furthermore, simulated sounds and real engine noises are used to demonstrate the effectiveness. The proposed algorithm can equalize the order(s) sound amplitude to a much narrower range. The results reveal that it is capable of improving the linearity and balancing the proportion of orders and can be further implemented to control the harmonic sound quality.