基于粒子群算法的液压缓冲器优化设计

Structural Optimization of Hydraulic Buffer Based on PSO Algorithm

该文以重物下落缓冲平台的液压缓冲器作为研究对象,建立并采用Runge-Kutta法求解缓冲系统动力学支配微分方程,模拟重物在缓冲器作用下的减速缓冲过程。之后以增大缓冲效率和降低系统压力为优化目标,通过粒子群算法优化阻尼孔孔径及孔间距,与以往等孔径等间距的经验设计相比,优化结构显著提高缓冲阻尼的效率,同时将系统最高压力控制在45MPa以下。

The hydraulic buffer in the falling-object buffering platform was studied and the corresponding dominating differential equations was solved with Runge-Kutta method in this paper,simulating the buffering dynamic process.The orifice diameters and distances of the hydraulic buffer were optimized to enhance the buffering efficiency and reduce the system pressure through particle swarm optimization (PSO) algorithm.Compared with the empirical design with uniform orifice diameters and distances,the optimized structure could notably improve the buffering efficiency and decrease the highest system pressure to less than 45 MPa.