Single-parameter-learning-based robust adaptive control of dynamic positioning ships considering thruster system dynamics in the input saturation state

Mu, Dongdong; Feng, Yupei; Wang, Guofeng; Fan, Yunsheng; Zhao, Yaohua

doi:10.1007/s11071-022-07657-3

Cited by 7 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More recent work focuses on using an NN as an approximator to handle unknown nonlinear terms in the DP model [13,14,[54][55][56]. Furthermore, a method called the minimum learning parameter method [57] was proposed to simplify NN training parameters, leading to significant development in NN-based DP control [58][59][60]. In recent years, deep neural networks have been considered for solving DP problems [61].…”

Section: Neural Network Adaptive Control Design Schemementioning

confidence: 99%

Dynamic Positioning Control for Marine Crafts: A Survey and Recent Advances

Gao,

2024

JMSE

View full text Add to dashboard Cite

This paper surveys the recent advances in dynamic positioning (DP) control for marine crafts. DP of marine crafts means that a craft can maintain a fixed position and heading, or move along a predetermined trajectory slowly without the anchoring system, using only its own thruster system to counteract ocean disturbances. The survey is by no means exhaustive but provides a survey of some of the major technological advancements in DP controller design over the years of research and development. Firstly, the model of marine crafts and some difficult problems in DP control are introduced including the impact of multiple source disturbance, unavailable velocity measurement information, resource conservation and performance optimization, destabilizing impact of faults and network security and compound multi-constraint restrictions. Then, the DP control schemes in recent years are summarized and classified in detail. Finally, some theoretical and technical problems are proposed, including online data-driven model-free control, man–machine combination intelligent control and composite hierarchical anti-disturbance control to guide future investigations.

show abstract

Section: Neural Network Adaptive Control Design Schemementioning

confidence: 99%

Dynamic Positioning Control for Marine Crafts: A Survey and Recent Advances

Gao,

2024

JMSE

View full text Add to dashboard Cite

show abstract

“…Dynamic load identification technology is the second type of inverse problem in structural dynamics [1][2][3]. Dynamic load positioning and identification pertain to the technology for analyzing and processing the dynamic response of a structure to obtain the position and amplitude information of the dynamic load received by the structure during operation.…”

Section: Introductionmentioning

confidence: 99%

A Non-Global Traversal Method for Dynamic Load Rapid Localization and Identification

Li,

Zhang,

Jiang

2024

Aerospace

View full text Add to dashboard Cite

Dynamic load localization and identification technology is very important in the structural design and optimization of aircraft. This paper proposes a non-global traversal method (NTM) for the fast positioning and recognition of dynamic loads on continuous beams. This method separates the load’s position and amplitude information in the modal space. Then, it constructs an interpolation function about position information, and converts load positioning to solving the zero point of the interpolation function. After determining the position of the dynamic load, the amplitude of the dynamic load is recognized. This method does not need to traverse all the position points globally, thereby greatly improving the efficiency of load positioning. Numerical simulations and experiments show that compared with the original variable separation fast positioning method (VSRPM), this method improves the calculation efficiency by more than 80% while maintaining the same recognition accuracy. NTM is a new method of great application value.

show abstract