基于粒子群算法的惯性水平振动给料机的优化  

Optimization Design of Inertial Feeder with Horizontal Vibration by Particle Swarm Algorithm

作　　者：王苗[1] 严伟博 滕维淑[1] Wang Miao Yah Wei-bo Teng Wei-shu(Mechanical and Electrical College, Xi＇ an University of Architecture ＆ Technology, Shanxi Xi＇an 710055)

机构地区：[1]西安建筑科技大学机电工程学院,陕西西安710055

出　　处：《山东煤炭科技》2016年第12期179-181,共3页Shandong Coal Science and Technology

摘　　要：该文介绍了粒子群优化算法的概念、算法的实现方法。通过对惯性水平振动给料机进行运动学分析,以料槽上物料运动的平均速度最大为目标函数,建立相应的优化模型,在MATLAB中编写粒子群优化算法的程序进行优化,得到了更好的结果。粒子群优化算法能够较好的完成优化,为惯性水平振动给料机的设计提供了新的方法和思路。The basic concept and Implementation process of PSO are introduced in the paper. Through kinematic analysis of Inertial Feeder with Horizontal Vibration, in the maximum average speed of materials as the objective function, establish its optimization mathematical model. Program optimization of PSO in MATLAB, and get more superior result. The optimization algorithm PSO has been finished optimization task well, and provides new methods and ideas for the structural design of vibration machines.

关 键 词：惯性水平振动给料机 粒子群优化算法 MATLAB 

分 类 号：TH237.1[机械工程—机械制造及自动化] TP301.6[自动化与计算机技术—计算机系统结构]