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基于粒子群算法的数控机床切削力误差实时补偿
引用本文:吴昊,胡伟,鲁志政,杨建国.基于粒子群算法的数控机床切削力误差实时补偿[J].上海交通大学学报,2007,41(10):1695-1698.
作者姓名:吴昊  胡伟  鲁志政  杨建国
作者单位:上海交通大学,机械与动力工程学院,上海,200240
基金项目:全国高等学校优秀博士学位论文作者专项基金;上海市引进技术吸收与创新计划
摘    要:通过分析数控机床主轴传动系统,推导出主轴伺服电机电流信号与切削力之间的关系,运用BP神经网络理论和粒子群优化算法建立起切削力误差模型,研制出数控机床上的切削力误差实时补偿系统,并通过加工实例对补偿系统进行了验证.结果表明:所建的切削力误差模型具有鲁棒性强和精度高的特点;切削力误差实时补偿系统使用方便,应用性强.

关 键 词:粒子群优化算法  切削力误差  实时补偿
文章编号:1006-2467(2007)10-1695-04
修稿时间:2006-10-12

The Real-Time Compensation of Cutting Force-Induced Errors on NC Turning Center Based on Particle Swarm Optimization
WU Hao,HU Wei,LU Zhi-zheng,YANG Jian-guo.The Real-Time Compensation of Cutting Force-Induced Errors on NC Turning Center Based on Particle Swarm Optimization[J].Journal of Shanghai Jiaotong University,2007,41(10):1695-1698.
Authors:WU Hao  HU Wei  LU Zhi-zheng  YANG Jian-guo
Institution:School of Mechanical Eng. , Shanghai Jiaotong Univ. , Shanghai 200240, China
Abstract:The relationship between cutting forced-induced errors and the spindle motor current was analyzed based on kinematic chain of NC machine tools,and then the cutting force-induced error model was constructed using BP neural network and particle swarm optimization.The cutting force-induced error compensation system was developed based on the cutting force-induced error model and verified through a machining experiment.The neural network modeling has better compensating effect and is more robust.The compensation system is of importance to precision manufacturing industry.
Keywords:particle swarm optimization  cutting forced-induced error  real-time compensation
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