지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.1
- 수록면
- 903 - 915 (13page)
이용수
초록· 키워드
오류제보하기
The classical Kalman filter (KF) provides a practical and efficient state estimation approach for structural identification and vibration control. However, the classical KF approach is applicable only when external inputs are assumed known. Over the years, some approaches based on Kalman filter with unknown inputs (KF-UI) have been presented. However, these approaches based solely on acceleration measurements are inherently unstable which leads poor tracking and so-called drifts in the estimated unknown inputs and structural displacement in the presence of measurement noises. Either on-line regularization schemes or post signal processing is required to treat the drifts in the identification results, which prohibits the real-time identification of joint structural state and unknown inputs. In this paper, it is aimed to extend the classical KF approach to circumvent the above limitation for real time joint estimation of structural states and the unknown inputs. Based on the scheme of the classical KF, analytical recursive solutions of an improved Kalman filter with unknown excitations (KF-UI) are derived and presented. Moreover, data fusion of partially measured displacement and acceleration responses is used to prevent in real time the so-called drifts in the estimated structural state vector and unknown external inputs. The effectiveness and performance of the proposed approach are demonstrated by some numerical examples.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Data fusion based improved Kalman filter with unknown inputs and without collocated acceleration measurements
Smart structures and systems
2016 .01
-
Data fusion based improved Kalman filter with unknown inputs and without collocated acceleration measurements
Smart Structures and Systems, An International Journal
2016 .01
-
An improved Kalman filter for joint estimation of structural states and unknown loadings
Smart Structures and Systems, An International Journal
2019 .01
-
A two-stage Kalman filter for the identification of structural parameters with unknown loads
Smart Structures and Systems, An International Journal
2020 .01
-
Effective Heterogeneous Data Fusion procedure via Kalman filtering
Smart structures and systems
2018 .01
-
An improved extended Kalman filter for parameters and loads identification without collocated measurements
Smart Structures and Systems, An International Journal
2023 .02
-
A two-stage and two-step algorithm for the identification of structural damage and unknown excitations: numerical and experimental studies
Smart structures and systems
2015 .01
-
Simultaneous Identification of structures and unknown seismic excitations for chain-like systems with unknown mass using partial absolute responses
Structural Engineering and Mechanics, An Int＇l Journal
2021 .09
-
Experimental validation of Kalman filter-based strain estimation in structures subjected to non-zero mean input
Smart structures and systems
2015 .01
-
Unknown Input Observer는 어떻게 설계되는가
제어로봇시스템학회지
2020 .09
-
Online correction of drift in structural identification using artificial white noise observations and an unscented Kalman Filter
Smart structures and systems
2015 .01
-
Probabilistic damage detection of structures with uncertainties under unknown excitations based on Parametric Kalman filter with unknown Input
Structural engineering and mechanics : An international journal
2017 .01
-
Identification of structural systems and excitations using vision-based displacement measurements and substructure approach
Smart Structures and Systems, An International Journal
2022 .09
-
Effective Heterogeneous Data Fusion procedure via Kalman filtering
Smart Structures and Systems, An International Journal
2018 .01
-
Experimental validation of Kalman filter-based strain estimation in structures subjected to non-zero mean input
Smart Structures and Systems, An International Journal
2015 .01
-
State and Unknown Road Input Estimation for Vehicle Suspension Control System
대한기계학회 춘추학술대회
2019 .05
-
칼만 필터를 이용한 구조 안전성 모니터링에 관한 기초 연구
대한조선학회 논문집
2020 .06
-
미지 입력 관측기를 포함한 적응 확장 칼만 필터 기반 랜덤 도로 조도 및 타이어 강성 동시 추정
대한기계학회 춘추학술대회
2020 .12
-
BLE Beacon의 실내 측위 정확도 향상을 위한 Genetic Algorithm 기반 Kalman Filter Parameters 최적화 방법
한국정보통신학회논문지
2021 .11
이 논문의 저자 정보
최근 본 자료
댓글(0)
0