粒子群算法在大侧斜螺旋桨侧斜分布优化中的应用  

Application of Particle Swarm Optimization Theory in Skew Distribution of Highly Skewed Propeller

作　　者：王超[1,2] 熊鹰[2] 何苗 黄胜[1] 

机构地区：[1]哈尔滨工程大学船舶工程学院,哈尔滨150001 [2]海军工程大学船舶与动力学院,武汉430033

出　　处：《上海交通大学学报》2012年第3期398-403,409,共7页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金资助项目(10702016);博士点基金项目(20102304120026);中央高校基本科研业务费专项资金资助(HEUCFR1102)

摘　　要：为设计出具有良好侧斜分布的螺旋桨剖面,采用智能优化领域的粒子群优化(PSO)算法,结合非定常面元法对螺旋桨的侧斜分布进行了优化设计.给出了PSO算法的数学模型及其在侧斜优化设计中的主要计算过程,并以HSP桨为母型进行设计.获取了2种纵倾方式下非定常推力系数的2阶幅值收敛情况、侧斜分布随迭代次数的收敛情况以及主桨叶在旋转1周的非定常推力系数随迭代次数的变化规律等.由计算结果可知,优化桨的非定常推力系数脉动比母型桨减小了许多,即通过改变螺旋桨侧斜分布能有效改善非均匀流场中螺旋桨的性能,进而也验证了PSO方法在螺旋桨侧斜优化设计中的可行性.In order to design a more reasonable skew distribution of propeller section,the new particle swarm optimization（PSO） arithmetic of the intelligent optimized field combined with panel method was adopted to do the optimization design of the propeller＇s skew distribution.The mathematical model and main process of the PSO arithmetic in the optimization design of the skew distribution were given,moreover the validity calculation to the propeller of HSP was did.The convergence of unsteady thrust coefficient＇s 2ed amplitude and the skew distribution along with iterative times in two different rake modes was taken.At the same time,the change law of the key blade＇s unsteady thrust coefficient along with iterative times in one circuit was also obtained.The results show that the unsteady coefficient fluctuation of the optimization propeller has a little reduction compared with the prototype.So the propeller＇s performance can be improved through the optimization of skew in unsteady field and the feasibility of PSO method in propeller＇s skew optimization is validated.

关 键 词：大侧斜螺旋桨 粒子群优化算法 面元法 推力系数 

分 类 号：U661.31[交通运输工程—船舶及航道工程]