多目标组合箱梁设计的粒子群优化方法

提出了多级搜索技术设计一个优化的组合箱梁飞行转动叶片,搜索技术称之为粒子群优化(受到鸟群飞行的启发),将连续的几何参数(断面尺寸)和箱梁离散折角作为设计变量,使之达到指定刚度和最大弹性连接的设计目标。目前组合箱梁的最大弹性连接增加了直升机转动叶片的气体弹性稳定性。多目标设计可明确表达为组合优化问题,采用粒子群优化技术求解,得到组合箱梁设计的最佳几何夹角为10°、15°和45°。对粒子群优化方法的性质和计算效率与各种设计方法进行了比较。模拟结果清楚显示,在性能和计算时间方面,粒子群优化方法比其他方法优越。

Particle Swarm Optimization Approach for Multi-Objective Composite Box-Beam Design

This paper presents a multi-agent search technique to design an optimal composite box-beam helicopter rotor blade. The search technique is called particle swarm optimization ('inspired by the choreography of a bird flock'). The continuous geometry parameters (cross-sectional dimensions) and discrete ply angles of the box-beams are considered as design variables. The objective of the design problem is to achieve specified stiffness value and maximum elastic coupling. The presence of maximum elastic coupling ...