基于量子粒子群算法优化的平面连杆压力机构优化研究  

Optimization of Planar Linkage Pressure Mechanism Based on Quantum Particle Swarm Optimization

作　　者：娄坤 LOU Kun(Anhui Kechang Machinery Manufacturing co.LTD,Chuzhou 239500,China)

机构地区：[1]安徽省科昌机械制造股份有限公司,安徽滁州239500

出　　处：《嘉应学院学报》2018年第8期41-44,共4页Journal of Jiaying University

摘　　要：为了改善冲压件加工质量,采用量子粒子群算法优化六杆压力机构并进行运动仿真.分析六杆压力机构工作过程,采用几何关系式推导冲头的位移方程式.确定设计参数,构造冲头速度优化目标函数,增加约束条件.采用量子粒子群算法优化目标函数,得出六杆最优运动参数.采用数学软件MATLAB对冲头速度进行仿真验证,输出冲头速度运动曲线.结果表明:优化后的六杆压力机构在冲压工件时,冲头速度跳动幅度较小,回程速度快.采用量子粒子群算法优化六杆压力机构设计参数,能够提高冲压件产品综合质量.In order to improve the quality of stamping parts, quantum particle swarm optimization（QPSO） is used to optimize the six bar pressure mechanism and carry out motion simulation. The working process of the six bar pressure mechanism is analyzed, and the displacement equation of the punch is derived by using the geometric relation formula to determine the design parameters, construct the punch speed optimization objective function, and increase the constraint conditions. The objective function is optimized by quantum behaved particle swarm optimization, and the optimal motion parameters of the six bar are obtained. The speed of punch is simulated and verified by mathematical software MATLAB, and the velocity curve of output punch is output. The results show that when the optimized six bar pressure mechanism punches the workpiece, the velocity of the punch is smaller and the return speed is faster. Using quantum particle swarm optimization to optimize the design parameters of six bar pressure mechanism can improve the comprehensive quality of stamping products.

关 键 词：量子粒子群算法 六杆机构 优化 仿真 

分 类 号：TH112[机械工程—机械设计及理论]