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本文对某型飞机液压管道采用的带压缩因子的粒子群算法(PSO)进行了改进,并对其支撑位置进行动力学优化。使用映射方法来离散粒子的位置,分别利用“和声搜索”法和“飞回技术”法对粒子群算法的边界条件和约束条件进行处理,改进了粒子群算法。并有效结合有限元(FEM)和改进的粒子群算法,以管道的疲劳累积损伤可靠度为约束,以一阶固有频率最大为目标对支撑位置进行动力学优化。经过优化,提高了管道的一阶固有频率,降低了振动水平,增强了系统的抗振能力。
In this paper, Particle Swarm Optimization (PSO) with compressing factor adopted by a certain type of aircraft hydraulic pipeline is improved, and its support position is optimized dynamically. Particle swarm optimization algorithm is used to solve the boundary conditions and constraints of particle swarm optimization by using the mapping method to discretize the positions of the particles and using the “harmony search” method and the “fly back technique” respectively. The finite element method (FEM) and the improved Particle Swarm Optimization (PSO) are combined effectively to restrain the cumulative damage reliability of the pipe as a constraint. The first-order natural frequency is maximized and the support position is dynamically optimized. After optimization, the first natural frequency of the pipeline is increased, the vibration level is reduced, and the anti-vibration capability of the system is enhanced.