Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (2): 621-632.doi: 10.12305/j.issn.1001-506X.2025.02.28

• Guidance, Navigation and Control • Previous Articles    

Robust trajectory planning for ship collision avoidance based on polynomial chaotic expansion

Xinyu QI, Zhi ZHANG, Xiaobing SHANG, Yiqiong ZHANG, Lichao JIANG, Yuexin ZHOU   

  1. School of Intelligent Science and Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2024-02-20 Online:2025-02-25 Published:2025-03-18
  • Contact: Zhi ZHANG

Abstract:

Most of the existing ship collision avoidance trajectory planning is based on accurate motion mo-dels and environmental information, which makes it difficult to cope with various uncertain sea conditions in the actual environment and leads to a decrease in the safety and reliability of the planned trajectory. A robust trajectory planning method for ships based on polynomial chaotic expansion method is proposed to address the above issues. The hydrodynamic coefficients in the ship hydrodynamic model are considered as uncertain parameters, and the collision risk and rudder angle control variables are used as objective functions to establish the optimal control model for ship trajectory planning. Genetic algorithm is used to obtain the control variables and optimized trajectory. The experimental results show that the minimum distance and maximum encounter distance of the optimized trajectory are increased by 10%-20%, and the average collision risk is reduced by 10%. The experimental results prove that the ship trajectory considering uncertainty is more safer and reliable.

Key words: ship collision avoidance, polynomial chaotic expansion, collision risk, optimal control, genetic algorithm

CLC Number: 

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