Global path planning for intelligent ships based on energy consumption optimization

Konferenz: ISCTT 2022 - 7th International Conference on Information Science, Computer Technology and Transportation
27.05.2022 - 29.05.2022 in Xishuangbanna, China

Tagungsband: ISCTT 2022

Seiten: 5Sprache: EnglischTyp: PDF

Autoren:
Zhang, Feng; Liao, Weiqiang (School of Marine Engineering, Jimei University, Xiamen, China)

Inhalt:
In this paper, aiming at the problem that the path with the least energy consumption is often not in the traditional path planning with the constraint conditions of path distance and path smoothness, an improved A* algorithm global path planning with the constraint condition of energy consumption is proposed. By analyzing the resistance model of ships in ocean current environment, the energy consumption function of intelligent ships is established, and an improved A* search algorithm for optimal energy consumption is proposed, and the algorithm is simulated under different ocean current states. Simulation results show that this algorithm can save energy compared with the traditional distance optimization algorithm, and obtain a more economic and environmental protection path, and effectively improve the endurance of intelligent ships.