摘要
研究了基于改进升力线模型和改进粒子群优化算法的船用螺旋桨最佳径向环量分布的求解方法。在升力线理论中计入了螺旋桨在轴向、周向和径向诱导速度的影响,通过迭代计算满足自由涡线的"涡线方向与当地流场方向保持一致"的运动学边界条件,获得变形的自由涡线,使改进的升力线模型适用于包括重载工况在内的多种螺旋桨工作状态下最佳环量分布的求解。改进了一种基于变异策略的粒子群优化算法,以此人工智能优化方法代替传统的变分法,寻优得到船用螺旋桨最佳径向环量分布。针对不同的求解条件,给出了相应的计算结果及讨论。计算结果表明,该最佳环量分布的求解方法是可行、有效和正确的。
The determination of the optimum radial circulation distribution of the propeller is investigated based on the improved liftingline model and the improved particle swarm optimization algorithm. The axi al, radial and tangential induced velocities are considered, and the kinematics boundary condition that the direction of vortex line is consistent with the local flow field direction is fulfilled by iteration calculation. Therefore, the improved liftingline model could be applied on many conditions including the heavy load ed condition to determine the circulation distribution. Meanwhile, an improved particle swarm optimization algorithm is proposed. A mutation strategy for premature convergence particles is added in the algorithm. And the traditional variational calculus method is replaced by this optimization method to calculate the propeller radial circulation distribution. Several circulation distribution optimizations and the analysis of calculations are carried out. Optimization results demonstrate the effectiveness and robustness of the method.
出处
《船舶力学》
EI
CSCD
北大核心
2013年第11期1244-1252,共9页
Journal of Ship Mechanics
基金
中国博士后科学基金资助项目(2012M512140)
关键词
船用螺旋桨
最佳径向环量分布
升力线模型
粒子群算法
marine propeller
optimum radial circulation distribution
lifting-line model
particle swarm optimization algorithm
