Abstract

At present, with the development of waterborne transport vehicles, research on ship faces a new round of challenges in terms of intelligence and autonomy. The concept of maritime autonomous surface ships (MASS) has been put forward by the International Maritime Organization in 2017, in which MASS become the new focus of the waterborne transportation industry. This paper elaborates on the state-of-the-art research on motion control of MASS. Firstly, the characteristics and current research status of unmanned surface vessels in MASS and conventional ships are summarized, and the system composition of MASS is analyzed. In order to better realize the self-adaptability of the MASS motion control, the theory and algorithm of ship motion control-related systems are emphatically analyzed under the condition of classifying ship motion control. Especially, the application of intelligent algorithms in the ship control field is summarized and analyzed. Finally, this paper summarizes the challenges faced by MASS in the model establishment, motion control algorithms, and real ship experiments, and proposes the composition of MASS motion control system based on variable autonomous control strategy. Future researches on the accuracy and diversity of developments and applications to MASS motion control are suggested.

Highlights

  • In September 2015, Lloyd’s Register of Shipping (LR), Quinatiq Group and Southampton University jointly published the “Global Mar

  • The main contribution of this paper is to describe the maritime autonomous surface ships (MASS) as the object, and the ship motion control algorithm is discussed in detail

  • Reinforcement learning (RL) [98,100], reinforcement learning (RL) based on neural network [101], combination of RL and sliding mode control [102] and deep reinforcement learning (DRL) [100] are gradually applied to ship path-following, which improves the adaptability and achieves good results

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Summary

Introduction

In September 2015, Lloyd’s Register of Shipping (LR), Quinatiq Group and Southampton University jointly published the “Global Mar. Seafarers are on board to operate and control shipboard systems and functions. Seafarers are available on board to take control and to operate the shipboard systems and functions. How to design a suitable motion controller is the key to realizing MASS navigation. A set of variable autonomous control strategy is proposed, which is applicable to the entire autonomous navigation of MASS for future research

Characteristics and System Composition of MASS
Research Status of USV
Research Status of MASS
Characteristics of Large MASS
System Composition of MASS
Classification of Motion Control for MASS
Ship speed control
Course control
Stabilization control
Path-following control
Trajectory tracking control
Motion Control Algorithms
Course Control
Stabilization Control
Path-Following Control
Trajectory Tracking Control
Proportion Integral Derivative Algorithm
Fuzzy Logic Control Algorithm
Model Prediction Control Algorithm
Sliding Mode Control Algorithm
Active Disturbance Rejection Control Algorithm
Optimization Algorithm
Artificial Intelligence
Summary of Ship Motion Control Research
Challenges and Prospects of Research on Motion Control of MASS
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