KLI

능동제어 기술을 이용한 드론의 음질개선에 관한 연구

Metadata Downloads
Abstract
In recent years with the widespread application of drones, the noise problem caused by drones has become a key research topic. Much effort has been conducted towards noise-level reduction of drones in the past decades but is insufficient regarding the use of sound pressure levels as the noise reduction index of drones. Considering the difficulty of implementing drones, a simplified active sound-quality control (ASQC) method is presented in this paper based on the LMS algorithm. Sound quality research has focused on the estimation of noise quality changes by evaluating the sense of comfort. A comparison of Matlab simulation results and subjective evaluations shows that ANC positively affects acoustic comfort. Finally, based on a jury's evaluation of the noise Improvement Level(IL), an optimal optimization plan is selected, which provides a new method of dealing with drone sound quality.
Author(s)
신옥
Issued Date
2022
Awarded Date
2022-02
Type
dissertation
Keyword
드론음질ANC
URI
https://oak.ulsan.ac.kr/handle/2021.oak/9812
http://ulsan.dcollection.net/common/orgView/200000603312
Alternative Author(s)
Shen Yu
Affiliation
울산대학교
Department
일반대학원 기계자동차공학과
Advisor
이장명
Degree
Master
Publisher
울산대학교 일반대학원 기계자동차공학과
Language
eng
Rights
울산대학교 논문은 저작권에 의해 보호 받습니다.
Appears in Collections:
Mechanical & Automotive Engineering > 1. Theses (Master)
공개 및 라이선스
  • 공개 구분공개
파일 목록

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.