摘要
以高速高精度数控车床为研究对象 ,建立了包括摩擦非线性因素的进给伺服系统综合数学模型 .研究了非线性摩擦对其动态特性的影响 ,并采用遗传算法对模型参数进行了优化 ,有效地避免了采用线性优化方法时易出现的局部极小的问题 ,消除了因非线性摩擦而产生的“削顶”、“死区”和“突变”等不良现象 .通过优化结果验证表明 ,系统的跟踪精度得到了较大的提高 ,有很好的工程实用价值 .
The high-speed and high-precision numerical control (NC) lathe is investigated and the synthesized mathematics model with nonlinear friction of feed servo system is established. The influence of nonlinear friction on its dynamic characteristics is studied and the parameters of model is optimized using the genetic algorithms. The method avoids effectively local minimum problem occurring in the linear identification method and removes bad phenomena such as chopped top, dead zone and mutation, etc. The optimal results show that the trace precision is improved, and the method has high engineering values.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2004年第6期771-774,共4页
Journal of Southeast University：Natural Science Edition
基金
国家自然科学基金资助项目 (5 0 3 75 0 2 6)
江苏省"十五"重大科技攻关招标资助项目 (BE2 0 0 10 68) .
关键词
数控车床
进给系统
非线性摩擦
动态特性
参数优化
摩擦补偿
Feeding
Friction
Identification (control systems)
Mathematical models
Numerical control systems
