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
- Danian Huang
- Xiaochuan Lin (ORCID: https://orcid.org/0000-0002-5336-9173)
- Ning Chen (ORCID: https://orcid.org/0000-0002-1779-915X)
- Yongqiang Tu (ORCID: https://orcid.org/0000-0002-8895-4188)
- Dong Wei (ORCID: https://orcid.org/0000-0002-0973-644X)
Institutions
- Jimei University (CN)
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
- Natural Science Foundation of Fujian Province
- Jimei University