Adaptive Delay-Free Filtering Based on IMU for Improving Ship Heave Measurement.

IMU adaptive digital filtering heave motion marine systems

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
13 Dec 2023
Historique:
received: 01 11 2023
revised: 07 12 2023
accepted: 08 12 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 23 12 2023
Statut: epublish

Résumé

Ship heave motion measurement is crucial for ensuring vessel stability, navigation precision, and maritime engineering safety. In order to achieve accurate heave motion measurement, a method based on an adaptive digital high-pass filter is proposed. The approach involves constructing a ship heave motion model, conducting an analysis of heave motion, determining the optimal cutoff frequency for the adaptive filter based on an analysis of filtering and sensor errors, and designing an adaptive delay-free digital high-pass filter. Through simulation experiments in various sea conditions and platform tests, the method demonstrates superior performance. In comparison to fixed-parameter complementary filters, it exhibits a reduction of over 50% in maximum error and mean square error.

Identifiants

pubmed: 38139638
pii: s23249791
doi: 10.3390/s23249791
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Key Research and Development Project of Jiangsu Province: R&D of Key Technologies for Deep-water Autonomous Navigation Robots and Supporting Platforms
ID : BE2022062

Auteurs

Daohua Lu (D)

School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China.
Marine Equipment and Technology Institute, University of Science and Technology, Zhenjiang 212003, China.

Yong Zhang (Y)

School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China.

Jia Wang (J)

School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China.

Classifications MeSH