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基于蚁群算法的往复振动筛运动参数优化设计
引用本文:李智,周龙,王东. 基于蚁群算法的往复振动筛运动参数优化设计[J]. 农业机械学报, 2004, 35(3): 76-78,82
作者姓名:李智  周龙  王东
作者单位:武汉工业学院电气信息工程系,副教授,博士,430023,武汉市;武汉工业学院电气信息工程系,副教授,博士;华中科技大学机械科学与工程学院,副教授,博士后,430074,武汉市
基金项目:湖北省自然科学基金资助项目 (项目编号 :2 0 0 3 ABA0 5 3 )
摘    要:运用蚁群算法和Matlab语言,编制了往复振动筛运动参数仿真计算的算法实现程序,并运用该程序对往复振动筛的振动圆频率、振幅、振动方向角和振动面倾角进行了优化仿真计算。优化计算结果表明:物料沿振动筛面的平均推进速度达到0.188m/s;在保证物料不跳离筛面的条件下,振动惯性达到最大值。

关 键 词:振动筛  优化  蚁群算法

Optimization Design of Movement Parameters of a Vibrating Screen Based on the Ant Colony Algorithm
Li Zhi Zhou Long. Optimization Design of Movement Parameters of a Vibrating Screen Based on the Ant Colony Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2004, 35(3): 76-78,82
Authors:Li Zhi Zhou Long
Affiliation:Li Zhi Zhou Long(Wuhan Polytechnic University) Wang Dong(Huazhong University of Science and Technology)
Abstract:Based on the ant colony algorithms and Matlab,the realization programs regarding moving parameters simulation of vibrating screens were made. When the programs were used in optimization simulation of vibration frequencies,amplitudes,direction angles and tilt angles,the optimization results showed that the average moving speed of feed materials along vibrating screen surface was 0 188 m/s and the vibration inertia reached the maximum on condition that the feed materials kept on no leave of the vibrating screens.
Keywords:Vibrating screens  Optimization  Ant colony algorithm
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