摘要
针对夹持器在工作过程中夹紧力大小不均的实际情况,采用进化算法对其进行优化设计。以最大最小夹紧力之差最小为目标函数,考虑20个约束条件,建立了夹持器优化设计数学模型。提出了一种基于专家规则的多目标优化算法,编制了优化程序。仿真结果表明优化目标得到改善,并验证了所提方法的有效性。
Evolutionary algorithm is adopted to optimize the structural parameters of gripper based on the asymmetry of clamp force. A mathematical model for optimization design of the gripper was established. The difference between the maximum and minimum clamp forces was minimized and taken as an objective function under twenty constraints. A novel method of evolutionary multi - objective optimization with expert rules was proposed. The optimization program was made. The simulation results are given to illustrate the enhancement of objective and the validitv of the proposed method.
出处
《煤矿机械》
北大核心
2006年第10期30-32,共3页
Coal Mine Machinery
基金
国家自然科学基金(50575026)
关键词
优化
专家规则
夹持器
进化算法
optimization
expert rule
gripper
evolutionary algorithms
