控制理论(社会学)
惯性
工程类
补偿(心理学)
卡尔曼滤波器
轮廓
系统标识
机床
控制工程
扭矩
前馈
鉴定(生物学)
动力摩擦
计算机科学
机械工程
控制(管理)
工程制图
数据建模
热力学
精神分析
软件工程
生物
物理
经典力学
植物
人工智能
心理学
天体物理学
作者
Kaan Erkorkmaz,Yusuf Altıntaş
标识
DOI:10.1016/s0890-6955(01)00003-7
摘要
Accurate modeling and identification of the feed drives' dynamics is an important step in designing a high performance CNC. This paper presents a method for identifying the dynamic parameters, as well as the friction characteristics of machine tool drives. The inertia and viscous friction are estimated through an unbiased least squares scheme. The friction model is developed by observing the disturbance torque through a Kalman filter, while jogging the axes under closed loop control at various speeds. The overall axis model is used in designing a high speed feed drive control system, which has been presented in Part III of this paper. As verification of the identified friction model, contouring test results without and with friction compensation are also presented.
科研通智能强力驱动
Strongly Powered by AbleSci AI