Research on Synthesis of Multi-Layer Intelligent System for Optimal and Safe Control of Marine Autonomous Object

Author:

Koznowski Wojciech1,Kula Krzysztof1ORCID,Lazarowska Agnieszka1ORCID,Lisowski Józef1ORCID,Miller Anna1ORCID,Rak Andrzej1,Rybczak Monika1ORCID,Mohamed-Seghir Mostefa1ORCID,Tomera Mirosław1ORCID

Affiliation:

1. Faculty of Electrical Engineering, Gdynia Maritime University, 81-225 Gdynia, Poland

Abstract

The article presents the synthesis of a multi-layer group control system for a marine autonomous surface vessel with the use of modern control theory methods. First, an evolutionary programming algorithm for determining the optimal route path was presented. Then the algorithms—dynamic programming with neural state constraints, ant colony, and neuro-phase safe control algorithms—were presented. LMI and predictive line-of-sight methods were used for optimal control. The direct control layer is implemented in multi-operations on the principle of switching. The results of the computer simulation of the algorithms were used to assess the quality control.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference50 articles.

1. EMSA—European Maritime Safety Agency (2023, July 07). Maritime Autonomous Surface Ships (MASS). Available online: https://emsa.europa.eu/mass.html.

2. LR—Lloyd’s Register (2023, July 07). Out of the Box—Implementing Autonomy and Assuring AI. Available online: https://www.lr.org/en/reports/ai-and-autonomy.

3. Marine autonomous surface ship—Control system configuration;Zubowicz;IFAC-PapersOnLine,2019

4. Distributed Model Predictive Control for cooperative floating object transport with multi-vessel systems;Chen;Ocean. Eng.,2019

5. Hu, X., Hu, K., Tao, D., Zhong, Y., and Han, Y. (2023). GIS-Data-Driven Efficient and Safe Path Planning for Autonomous Ships in Maritime Transportation. Electronics, 12.

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