消拖船节油航速优化研究

Optimization of Fuel Saving Speed of Tugboat

针对港口作业消拖船主机的高油耗问题,从船舶管理节能的角度出发,提出了基于改进天牛须算法的消拖船节油航速优化方法。通过分析消拖船的船、机、浆的能量传递机制,建立了其主机燃油消耗的优化模型,并对消拖船某航次中各航段的航速开展优化研究。天牛须搜索算法(beetle antennae search algorithm, BAS)是近年来出现的智能优化算法,在处理结构复杂的数学模型优化中优势很明显,但是也存在收敛慢、容易进入局部最优状态等问题,为此建立了一种改进的天牛须搜索算法(improved beetle antennae search algorithm, IBAS),以更好地满足应用要求。通过实例计算分析,采用所提出的优化算法进行消拖船主机燃油消耗优化。结果表明:所提算法的收敛速度快,寻优效率高。与天牛须算法和蚁群算法(ant colony algorithm, ACO)对比分析,所提出的优化算法保持较快的运算时间的同时,提高了优化结果的准确率。

Aiming at the problem of high fuel consumption of the main engine of tugboats in port operations, from the perspective of ship management energy saving, an optimization method of tugboats fuel-saving and speed based on the improved tugboat algorithm was proposed. By analyzing the energy transfer mechanism of the ship, engine and paddle, the optimization model of its main engine fuel consumption was established, and the optimization research on the speed of each section of the tugboat in a certain voyage was carried out. The beetle antennae search algorithm(BAS) is a new optimization algorithm in recent years, which has obvious advantages in the optimization of mathematical models with complex structures, but there are also some problems such as slow convergence and easy access to local optimal states. For this reason, an improved beetle antennae search algorithm(IBAS)was established to better to meet the application requirements. Through the calculation and analysis of an example, the proposed algorithm was used to optimize the fuel consumption of the main engine of the tugboat. The results show that the proposed algorithm has fast convergence speed and high optimization efficiency. Compared with the beetle antennae search algorithm and the ant colony algorithm(ACO), the proposed optimization algorithm keeps a faster operation time and improves the accuracy of optimization results.