System parameter exploration of ship maneuvering model for automatic docking/berthing using CMA-ES

• Published in: Journal of marine science and technology Vol. 27; no. 2; pp. 1065 - 1083
• Main Authors: Miyauchi, Yoshiki, Maki, Atsuo, Umeda, Naoya, Rachman, Dimas M., Akimoto, Youhei
• Format: Journal Article
• Language: English
• Published: Tokyo Springer Japan 01.06.2022; Springer; Springer Nature B.V
• Subjects: Automotive Engineering; Berthing; Engineering; Engineering Design; Engineering Fluid Dynamics; Global optimization; Maneuvers; Mathematical models; Mechanical Engineering; Model testing; Objective function; Offshore Engineering; Original Article; Parameters; Ship handling; System identification; Autonomous Docking; System Identification; CMA-ES; MMG Model
• ISSN: 0948-4280; 1437-8213
• DOI: 10.1007/s00773-022-00889-3

Accurate maneuvering estimation is essential to establish autonomous berthing control. The system-based mathematical model is widely used to estimate the ship’s maneuver. Commonly, the system parameters of the mathematical model are obtained by the captive model test (CMT), which is time-consuming to construct an accurate model suitable for complex berthing maneuvers. System identification (SI) is an alternative to constructing the mathematical model. However, SI on the mathematical model of ship’s maneuver has been only conducted on much simpler maneuver: turning and zig-zag. Therefore, this study investigates the SI on a mathematical model capable of berthing maneuver. The main contributions of this study are as follows: (i) construct the system-based mathematical model on berthing by optimizing system parameters with a reduced amount of model tests than the CMT-based scheme; (ii) Find the favorable choice of objective function and type of training data for optimization. Global optimization scheme CMA-ES explored the system parameters of the MMG model from the free-running model’s trajectories. The berthing simulation with the parameters obtained by the proposed method showed better agreement with the free-running model test than parameters obtained by the CMT. Furthermore, the proposed method required fewer data amounts than a CMT-based scheme.