Co-FXLMS 알고리듬을 이용한 급가속시 자동차 흡기계의 능등소음제어 = Active Noise Control of Automotive Intake System under Rapid Acceleration using the Co-FXLMS Algorithm

다국어 초록 (Multilingual Abstract)

The method of the reduction of the automotive induction noise can be classified by the method of passive control and the method of active control. However, the passive control method has a demerit to reduce the effect of noise reduction at low frequency (below 500㎐) range and to be limited by a space of the engine room. Whereas, the active control method can overcome the demerit of passive control method. The algorithm of active control is mostly used the LMS (Least-Mean-Square) algorithm because the LMS algorithm can easily obtain the complex transfer function in real-time. Especially, When the Filtered-X LMS (FXLMS) algorithm is applied to an ANC system. However, the convergence performance of LMS algorithm goes bad when the FXLMS algorithm is applied to an active control of the induction noise under rapidly accelerated driving conditions. Thus Co-FXLMS algorithm was developed to improve the control performance under the rapid acceleration. The Co-FXLMS algorithm is realized by using an estimate of the cross correlation between the adaptation error and the filtered input signal to control the step size. In this paper, the performance of the Co-FXLMS is presented in comparison with that of the FXLMS algorithm. Experimental results show that active noise control using Co-FXLMS is effective to reduce automotive induction noise under the rapid acceleration.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 이론
• 3. 능동 흡기소음 제어 시스템의 구성
• 4. 급가속시 능동흡기소음제어 실험
• 5. 결론
• References