Optimization of Wind Turbine Hub Assembly Sequence Based on Intelligent Algorithm

A method for hub assembly sequence planning oriented to the fixed position layout is proposed. An assembly relationship model was constructed to describe the relationship between hub assembly components and workstations, considering the layout of the hub assembly line and process constraints, including the assembly precedence matrix, workstation assembly capability table and criticality table of components. The evaluation mechanism for the assembly sequence was established. Values from the evaluation functions with engineering significance were used to select the optimal assembly sequence from the perspective of assembly time, assembly index and assembly path distance. In function, the criticality of components was introduced into the traditional assemblability index, comparing the multi-objective dragonfly algorithm (MODA) with non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) to complete the assembly sequence planning and assignment for workstations. The optimized results show that the presented method is feasible and efficient for solving the hub assembly sequence planning problem.