3차원 오픈 공간에서 단일센서를 활용한 능동 소음제어 기술
Active noise control technology using a single sensor in 3D open environment
- 주제어 (키워드) Noise , Vibration , Active Noise Cancelling , FxLMS (Filtered-x Least Mean Square) , Control Algorithm
- 발행기관 서강대학교 일반대학원
- 지도교수 이승엽
- 발행년도 2024
- 학위수여년월 2024. 2
- 학위명 석사
- 학과 및 전공 일반대학원 기계공학과
- 실제URI http://www.dcollection.net/handler/sogang/000000076961
- UCI I804:11029-000000076961
- 본문언어 한국어
- 저작권 서강대학교 논문은 저작권 보호를 받습니다.
초록
This study proposes an innovative approach for achieving stable noise reduction in open systems by applying a new algorithm to avoid sound amplification due to unexpected noises. Traditionally, active noise control in open systems necessitates the deployment of multiple sensors. However, this research explores the potential for effective noise control using only a single sensor, aiming to simplify the complex sensor arrangement. The new optimization algorithm can be applied for active noise cancellation at a specific target point in open systems. The experimental results in open systems using only one sensor robustly demonstrate the feasibility of the proposed active noise control, emphasizing its adaptability across various applications for noise management in open systems. Furthermore, this study implements a system capable of dynamically adjusting the noise reduction area based on changes in the characteristics of the target point being controlled. This aims to investigate the applicability and scalability of the proposed method in diverse environments and fields. This study provides a fresh perspective on noise control methodologies, addresses practical challenges associated with sensor deployment, and underscores the versatility of this approach across different applications in open systems.
more목차
1. 서론 1
1.1. 연구 배경 및 동향 1
1.2. 연구 목표 4
2. 능동 소음제어 5
2.1. 능동 소음제어(ANC : Active Noise Cancelling) 시스템 5
2.2. 능동 소음제어(ANC) 알고리즘 8
3. 능동 소음제어 실험 11
3.1. 능동 소음제어 실험 구성 및 설계 12
3.2. 개선 알고리즘 설계 16
3.2.1 Reset algorithm 16
3.2.2 Overlap algorithm 21
3.2.3 Multi Loop Buffering algorithm 24
3.3. 개선 알고리즘 적용 가능성 검증 실험 33
3.4. 개선 알고리즘 확장성 검증 실험 및 결과 분석 38
4. 결론 52
5. Reference 54
