考虑风帆攻角控制的风力助航船航线多目标优化方法OA北大核心

To address the challenges in the route optimization of wind-assisted ships,namely insufficient quantifica-tion of wind energy utilization efficiency,limited accuracy in fuel consumption prediction,and lack of multi-objec-tive coordinated optimization mechanism,this study proposes a multi-objective route optimization method integrat-ing dynamic sail control with hybrid propulsion prediction.A dynamic sail control strategy model based on aerody-namic characteristics is developed to achieve spatial vector analysis of auxiliary thrust from sails.This model over-comes the limitations of conventional static angle-of-attack configurations by enabling real-time dynamic adjust-ment of sail parameters,thereby maintaining a high level of wind energy conversion efficiency.To resolve the dual constraints of poor environmental adaptability in traditional physical models and weak physical interpretability in data-driven approaches,a physics-constrained hierarchical artificial neural network architecture is constructed.This architecture establishes feature space bases using ship kinematic equations and employs attention-guided neural net-works for residual learning.The proposed method preserves the underlying physical principles of energy consump-tion while enabling bidirectional coupling between data features and fluid dynamics equations.Validation on North Atlantic routes demonstrates that the proposed method reduces the mean absolute percentage error(MAPE)of fuel consumption prediction by 21.9%compared to purely physical models,while offering significantly enhanced inter-pretability over purely data-driven methods.Furthermore,a multi-objective optimization model incorporating both time costs and fuel consumption is established.A coordinated optimization algorithm combining non-dominated sorting genetic algorithm(NSGA-Ⅱ)and technique for order preference by similarity to ideal solution(TOPSIS)is developed,which improves the convergence rates of the non-dominated solution sets compared to standard algo-rithms.An empirical study conducted on the wind-assisted vessel"NEW ADEN"demonstrates that,during typical voyages in the North Atlantic,the effective operational efficiency of the sail is improved.Compared with the tradi-tional recommended routes,the optimized route reduces voyage time by approximately 5%,fuel consumption costs and fixed costs by 9.1%and 4.95%,respectively,and total operational costs by over 7.2%.This optimization im-proves the economic benefits of wind-assisted ships while effectively reducing environmental pollution.