A novel inertial parameter identification method for the ship-mounted Stewart platform based on a wave compensation platform

• The dynamic model of Stewart platform is established in non-inertial system. • The coefficient matrix of centroid is obtained by decoupling the dynamic equation. • The proposed method does not require designing excitation trajectories. • The coupling error dimension reduction function is proposed. • Experiment results are demonstrated to verify the efficient of proposed method. To meet the requirement of time-varying inertial parameter identification of control algorithms for shipborne Stewart wave compensation platforms, this study proposes an innovative inertial parameter identification method based on a non-inertial system. Unlike traditional Stewart identification methods with a fixed frame, the proposed method does not require designing excitation trajectories to consider the condition number of the observation matrix. Namely, the proposed method requires only performing two-dimensional dynamic parameter collection for parameter identification in a six-dimensional non-inertial motion. In addition, a coupling error dimension reduction method is developed to improve the identification accuracy under the condition of coupling motion. Finally, experiments are conducted to verify the effectiveness of the proposed identification method. The experimental results show that under the coupling motion conditions, the coupling errors of the corrected singularity points are reduced by 7.9–28.1% compared to before correction, and the axial force average error correction is below 5.32%.

Authors

Institutions

Publication Details

Journal
Measurement
Published
2024-10-19
DOI
https://doi.org/10.1016/j.measurement.2024.116010
Citations
7
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
2.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel inertial parameter identification method for the ship-mounted Stewart platform based on a wave compensation platform

Danian Huang, Xiaochuan Lin, Ning Chen, Yongqiang Tu et al.
7 citations
Measurement
Adaptive Control of Nonlinear Systems
2.30
article

A novel inertial parameter identification method for the ship-mounted Stewart platform based on a wave compensation platform

Danian Huang, Xiaochuan Lin, Ning Chen, Yongqiang Tu, Dong Wei
article en
7 citations

Abstract

• The dynamic model of Stewart platform is established in non-inertial system. • The coefficient matrix of centroid is obtained by decoupling the dynamic equation. • The proposed method does not require designing excitation trajectories. • The coupling error dimension reduction function is proposed. • Experiment results are demonstrated to verify the efficient of proposed method. To meet the requirement of time-varying inertial parameter identification of control algorithms for shipborne Stewart wave compensation platforms, this study proposes an innovative inertial parameter identification method based on a non-inertial system. Unlike traditional Stewart identification methods with a fixed frame, the proposed method does not require designing excitation trajectories to consider the condition number of the observation matrix. Namely, the proposed method requires only performing two-dimensional dynamic parameter collection for parameter identification in a six-dimensional non-inertial motion. In addition, a coupling error dimension reduction method is developed to improve the identification accuracy under the condition of coupling motion. Finally, experiments are conducted to verify the effectiveness of the proposed identification method. The experimental results show that under the coupling motion conditions, the coupling errors of the corrected singularity points are reduced by 7.9–28.1% compared to before correction, and the axial force average error correction is below 5.32%.

MeasurementVol. 242
Jimei University (CN)
Natural Science Foundation of Fujian Province, Jimei University
Openalex Percentile: Top 11%
Adaptive Control of Nonlinear Systems
2.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A novel inertial parameter identification method for the ship-mounted Stewart platform based on a wave compensation platform — Danian Huang, Xiaochuan Lin, et al. · Measurement (2024) | TGRS Research Map | TGRS