改进粒子群算法在三维水翼设计中的应用  

Application of improved particle swarm algorithm in 3D design of hydrofoil

作　　者：任万龙 郝宗睿[1] 王越[1] 徐娟[1] REN Wanlong HAO Zongrui WANG Yue XU Juan(Institute of Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao, Shandong 266001, China Shandong Scientl- fic and Technological Center of Oceanographic Instrumentation, Qingdao, Shandong 266001, China)

机构地区：[1]山东省科学院海洋仪器仪表研究所,山东青岛266001 [2]山东省海洋仪器仪表科技中心,山东青岛266001

出　　处：《江苏大学学报（自然科学版）》2017年第2期168-172,共5页Journal of Jiangsu University：Natural Science Edition

基　　金：国家自然科学基金资助项目(51206101);国家重点研发计划项目(2016YFC1402306);山东省重点研发计划项目(军民融合)(2016JMRH0541);青岛市应用基础研究计划项目(16-5-1-101-jch)

摘　　要：对基本粒子群算法的权重进行改进,采用非线性权重,使得粒子在整个寻优过程中加速向最优解靠拢,从而快速收敛得到最优解.选取Rastrigin函数和Quadric函数为验证函数,对改进粒子群算法进行验证,改进粒子群算法具有更快更优的搜索性能.将其引入到三维水翼的优化设计中,分别以升阻比和压力分布为优化目标,以三维水翼的升力系数为限制条件,进行迭代优化.优化后三维水翼的升阻比及压力分布得到明显改善,验证了改进粒子群算法在三维水翼优化设计中应用的可行性及有效性.The weight was modified to improve particle swarm optimization algorithm. According to the non-linear weight,the particle swarm optimization algorithm was accelerated to the optimal solution close to quickly during finding optimization particle to obtain the optimal solution. The improved particle swarm optimization（ PSO） was verified for searching the best solution by the verification functions of Rastrigin and Quadric functions. The improved PSO was introduced for the optimal design of three-dimensional hydrofoils. The lift drag ratio and the pressure distribution were respectively used as optimization objectives with 3D hydrofoil lift coefficient as limit constraints,and the optimization was iteratively conducted. The results show that the performance of 3D hydrofoil is improved,and the application of particle swarm algorithm in three-dimensional hydrofoil optimization design is feasible and effective.

关 键 词：粒子群算法 水翼 面元法 升阻比 压力分布 

分 类 号：O354[理学—流体力学]