Parametric estimation of ship maneuvering motion with integral sample structure for identification |
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Institution: | 1. Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin 150001, Heilongjiang, China;2. Wuhan Second Ship Design and Research Institute, Wuhan 430064, Hubei, China;3. Navigation College, Dalian Maritime University, Dalian 116026, Liaoning, China;4. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;5. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;6. China Ship Research and Development Academy, Beijing 100192, China;1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China;2. Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai Jiao Tong University, Shanghai, China;3. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China;1. College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China;2. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China;3. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China;4. Navigation College, Dalian Maritime University, Dalian, Liaoning, 116026, China;1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China |
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Abstract: | This documentation presents the parametric identification modeling of ship maneuvering motion with integral sample structure for identification (ISSI) and Euler sample structure for identification (ESSI) based on least square support vector machines (LS-SVM), where ISSI is used for the construction of in–out sample pairs. By using Mariner Class Vessel, the sample dataset are obtained from 15°/15° zigzag maneuvering simulation based on Abkowitz model. By analyzing the simulation data including rudder angle, surge velocity, sway velocity, yaw rate and so forth, the hydrodynamic derivatives in Abkowitz model are all identified. The validation of the proposed identification algorithm is verified by the high precisions of the identified hydrodynamic derivatives and maneuvering prediction results. The comparison is also conducted between the proposed ISSI and the conventional Euler sample structure for identification (ESSI), and the experimental results shows that ISSI is much more appropriate for parametric identification modeling of ship maneuvering motion. |
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Keywords: | Ship maneuvering motion Sample structure for identification Support vector machines System identification |
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