제목 | 능동 머플러를 위한 퍼지논리 적응필터의 설계 |
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분야 | 전기ㆍ전자ㆍ통신 |
언어 | Korean |
저자 | 안동준(아주자동차대학), 박기홍(국민대학교), 김선희(국민대학교), 남현도(단국대학교) |
Key Words | Active noise control(능동소음제어), Adaptive filter(적응필터), Active muffler(능동 머플러), Fuzzy logic LMS algorithm(퍼지논리 LMS 알고리즘) |
초록 |
In active noise control filter, LMS algorithms which used for control filter, assure the convergence property, and computational burden of these algorithms are proportionate to the filter taps. The convergence speed of LMS algorithms is mainly determined by value of the convergence coefficient, so optimal selection of the value of convergence coefficient is very important. In this paper, We proposed novel adaptive fuzzy logic LMS algorithms with FIR filter structure which has better convergence speed and less computational burden than conventional LMS algorithms, for single channel active noise control with ill conditioned signal case. Computer simulations were performed to show the effectiveness of a proposed algorithms. |
원문(PDF) | 다운로드 |