高速凸轮NURBS廓线改进人工鱼群多目标动力学优化  

Multi-objective dynamic optimization of NURBS profile in high-speed cam mechanisms with an improved artificial fish swarm algorithm

作　　者：玄冠涛[1] 邵园园[1] 吕钊钦[1] 冯显英[2] 郑继周[1] 

机构地区：[1]山东农业大学机械与电子工程学院,山东省园艺机械与装备重点实验室,泰安271018 [2]山东大学机械工程学院,济南250061

出　　处：《振动与冲击》2013年第12期122-125,130,共5页Journal of Vibration and Shock

基　　金：国家自然科学基金(50875153);“十二五”国家科技支撑计划(2012BAD11B03);山东省优秀中青年科学家奖励基金(BS2010zz010);山东省高等学校科技计划项目(J13LB09)

摘　　要：为改善高速凸轮机构动力学性能,首先采用非均匀有理B样条(NURBS)重构凸轮廓线,建立高速凸轮单自由度弹性动力学模型,进行高速凸轮机构多目标动力学优化设计。然后利用改进人工鱼群算法求解该模型,获取系统Pareto最优解从而得到优化后的NURBS廓线。最后,分析和比较高速凸轮机构在NURBS和修正正弦两种廓线下的动力学响应。结果表明:改进人工鱼群算法可以有效解决多目标优化问题,优化后NURBS廓线运动学特性与修正正弦廓线相差不大,在一定程度上降低了高速凸轮机构的残余振动幅值,提高了高速凸轮机构的定位精度和动力性能,减少了振动和冲击的噪声。To improve dynamic characteristics of high-speed cam mechanisms, Non-uniform rational B-Spline （NURBS） was used to fit a modified-sine curve. Based on the SDOF elastic dynamic theory, a multi-objective dynamic optimization model for NURBS profile was designed here. The multi-objective dynamic model was optimized to search a Pareto optimal solution with an improved artificial fish swarm algorithm, the optimized NURBS profile was acquired. Finally, the dynamic responses of a high-speed cam mechanism under NURBS profile and modified sine profile were analyzed and compared. The results showed that the improved artificial fish swarm algorithm can effectively solve the muhi-objective optimization problem; the optimized NURBS profile keeps the modified sine profile＇s fine kinematic characteristics, and the residual vibration is reduced; the high-speed cam mechanism designed by using this method has advantages of stable transmission and lower noise.

关 键 词：NURBS廓线 改进人工鱼群算法 多目标动力学优化 残余振动 

分 类 号：TH112.2[机械工程—机械设计及理论]