基于粒子群算法的螺旋桨侧斜分布优化

摘要

为了降低螺旋桨激振力，减小螺旋桨对船体的诱导振动，采用粒子群优化算法，结合螺旋桨非定常面元法预报程序，对螺旋桨的侧斜分布进行优化设计。给出侧斜分布的数学表达形式以及粒子群优化算法的数学模型，并以Seiun-Maru HSP螺旋桨为母型桨进行优化设计，得到3种优化方案。其中，最优方案在不损失螺旋桨推力和扭矩的情况下，轴向一倍叶频、二倍叶频推力系数和扭矩系数明显降低，达到了优化目的，即通过改变螺旋桨侧斜分布形式，能够有效改善非均匀流场中螺旋桨的性能，验证了粒子群优化算法用于螺旋桨侧斜分布优化的可行性，可以实现工程化应用。%In order to reduce the excitation force of the propeller on a ship's hull surface, a hybrid method of the Particle Swarm Optimization (PSO) algorithm of the intelligent optimized field and panel method is adopted to optimize the propeller's skew distribution. The mathematical model and main process of the PSO algorithm in the optimization design of the skew distribution is given, and a Seiun-Maru HSP propeller is taken as the prototype. Three different skew distributions are obtained through calculations. The results show that the axial coefficients of thrust and torque for the optimal scheme are reduced significantly at Blade Passing Frequency (BPF) and 2 BPF, while the thrust and torque of the propeller show no such reduc⁃tion. In brief, optimizing the skew distribution of the blades effectively improves the propeller's perfor⁃mance in unsteady fields, and the PSO algorithm is proven to optimize skew distribution for propeller engi⁃neering.