A constraint multi-step prediction method for identification of a water-jet vessel in 3DOF planar motion. (1st October 2021)
- Record Type:
- Journal Article
- Title:
- A constraint multi-step prediction method for identification of a water-jet vessel in 3DOF planar motion. (1st October 2021)
- Main Title:
- A constraint multi-step prediction method for identification of a water-jet vessel in 3DOF planar motion
- Authors:
- Wang, Xudong
Zhao, Jin
Liu, Songjie
Geng, Tao - Abstract:
- Abstract: In this research work, a Water-Jet catamaran HUSTER-30 is used as a case study to investigate the modeling and system identification of water-jet vessels. There is a natural phenomenon of the water-jet vessels, which is that the vessel cannot go straight with zero steering angle even under absolutely calm water conditions. Identifying the parameters of the water-jet vessel model and guaranteeing the identified parameters cover a wide range of maneuvering is investigated in this paper. The nonlinear asymmetric 3 Degree of Freedom (DOF) model considering water-jet system assembly error and the external force generated by the effect of outlet water flows is established. Moreover, a constrained multi-step prediction (CMSP) method is proposed in this paper to identify parameters of the nonlinear model. A series of experiments are conducted to identify the parameters, and the prediction results demonstrate that the asymmetric model has better performance than the symmetric model. Also, the identified results demonstrate that the parameters identified by the CMSP method have a more accurate prediction than the LS method in a wide range of maneuvering. The future work will focus on optimizing the proposed method and using the identified model for controller design and simulation study. Highlights: Establish a vessel model considering water-jet assembly error and the external force. Propose a constrained optimization method to identify vessel model parameters. TheAbstract: In this research work, a Water-Jet catamaran HUSTER-30 is used as a case study to investigate the modeling and system identification of water-jet vessels. There is a natural phenomenon of the water-jet vessels, which is that the vessel cannot go straight with zero steering angle even under absolutely calm water conditions. Identifying the parameters of the water-jet vessel model and guaranteeing the identified parameters cover a wide range of maneuvering is investigated in this paper. The nonlinear asymmetric 3 Degree of Freedom (DOF) model considering water-jet system assembly error and the external force generated by the effect of outlet water flows is established. Moreover, a constrained multi-step prediction (CMSP) method is proposed in this paper to identify parameters of the nonlinear model. A series of experiments are conducted to identify the parameters, and the prediction results demonstrate that the asymmetric model has better performance than the symmetric model. Also, the identified results demonstrate that the parameters identified by the CMSP method have a more accurate prediction than the LS method in a wide range of maneuvering. The future work will focus on optimizing the proposed method and using the identified model for controller design and simulation study. Highlights: Establish a vessel model considering water-jet assembly error and the external force. Propose a constrained optimization method to identify vessel model parameters. The parameters are identified based on the vessel maneuvering trials. … (more)
- Is Part Of:
- Ocean engineering. Volume 237(2021)
- Journal:
- Ocean engineering
- Issue:
- Volume 237(2021)
- Issue Display:
- Volume 237, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 237
- Issue:
- 2021
- Issue Sort Value:
- 2021-0237-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10-01
- Subjects:
- Water-jet vessels -- System identification -- Nonlinear asymmetric model
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2021.109534 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18924.xml