System Identification Based Parameter Identification of Responding Type Ship Motion Model
- Resource Type
- Conference
- Authors
- Tian, Yanfei; Huang, Liwen; Chen, Lijia; Mou, Junmin; He, Yixiong; Zhang, Ke
- Source
- 2019 5th International Conference on Transportation Information and Safety (ICTIS) Transportation Information and Safety (ICTIS), 2019 5th International Conference on. :542-547 Jul, 2019
- Subject
- Transportation
Marine vehicles
Mathematical model
Parameter estimation
Data models
Analytical models
Navigation
Computational modeling
system identification (SI)
parameter identification
responding type ship motion model
full-scale ship maneuvering experiment
least squares
Particle Swarm optimization (PSO)
- Language
The paper concerns parameter identification of a responding ship motion model for a full-scale ship under the framework of system identification (SI) principles. Several groups of full-scale maneuvering experiments have been implemented to collect research data. A linear responding ship motion model is selected for analysis, and specifically identification of two parameters of the model becomes the research topic. Based on the error criterion in SI theory, a Particle Swarm optimization (PSO) based search process is used for parameter identification under the principle of minimizing the sum of squares due to error (SSE). The accuracy of the estimated values is checked by comparing the simulated ship motion (model output using identified parameters) and the full-scale ship maneuvering trial record (ship output by measurement). The feasibility and availability of the developed strategy are verified by using a case study. It is concluded that the proposed strategy can provide technical support for full-scale ship motion modeling.