|本期目录/Table of Contents|

 基于自抗扰控制算法的麦克斯韦快刀伺服控制系统(PDF)

《纳米技术与精密工程》[ISSN:1672-6030/CN:12-1351/O3]

期数:
2017年5期
页码:
335-341
栏目:
精密加工
出版日期:
2017-09-15

文章信息/Info

Title:
 Development of Fast Tool Servo Control System Based on Maxwell
Normal Force Using ADRC Algorithm
作者:
 房丰洲 陈晓菲 张效栋 李泽骁
 精密测试技术及仪器国家重点实验室(天津大学), 天津 300072
Author(s):
 Fang Fengzhou Chen Xiaofei Zhang Xiaodong Li Zexiao
 State Key Laboratory of Precision Measuring Technology and Instruments (Tianjin University), Tianjin 300072, China
关键词:
 快速伺服刀具 自抗扰控制算法 闭环控制系统
Keywords:
 fast tool servo active disturbance rejection control algorithm closedloop control system
分类号:
TP273.2
DOI:
10.13494/j.npe.20160094
文献标识码:
A
摘要:
 使用麦克斯韦力驱动的快速伺服刀具加工自由曲面,可以获得表面质量更优的加工效果.在快刀控制系统中引入适当的控制方式能够改善快刀的频响性能.本文针对麦克斯韦快刀,搭建包括软硬件在内的控制系统,硬件控制结构采用FPGA+DSP嵌入式控制架构,并加入自抗扰先进控制算法实现系统良好的抗干扰性能.为验证闭环控制系统性能,在自主搭建的精密位移测试平台进行系统位移分辨力和闭环带宽的测试,测试结果表明系统位移分辨力为5 nm,对频率108 Hz、峰峰值16 μm正弦信号的跟踪误差为0.136 μm,对频率540 Hz、峰峰值16 μm正弦信号的跟踪误差为0.094 μm.快刀系统行程50 μm,闭环带宽4 kHz.线下仿真加工实验验证了快刀系统对常规面型的加工能力.
Abstract:
 Fast tool servo (FTS) system has high frequency response and flexible movement which can be used in machining freeform optical surfaces to obtain high cutting qualities. Appropriate control algorithms can improve frequency response of FTS systems. Both software and hardware control systems were designed according to Maxwell normal force FTS. Hardware control is made of FPGA+DSP embedded system while active disturbance rejection control (ADRC) algorithm was used in software control design to achieve high performance of disturbance rejection. In order to verify the performance of FTS closedloop control system, the resolution and closedloop bandwidth of the system were tested by using the selfdeveloped precision displacement platform. Results show that the system has a resolution of 5 nm, a stroke of 50 μm, and 4 kHz closedloop bandwidth, with 0.136 μm error in tracking a 108 Hz sinusoid of 16 μm PV and 0.094 μm error in tracking a 540 Hz sinusoid of 16 μm PV. Simulation of machining experiments verifies the machining ability on conventional surfaces.

参考文献/References

备注/Memo

备注/Memo:
收稿日期: 2017-08-01.
基金项目: 国家自然科学基金资助项目(51375337);天津市应用基础与前沿技术研究青年基金资助项目(14JCQNJC05200).
作者简介: 房丰洲(1963—), 男, 博士, 教授.
通讯作者: 房丰洲, fzfang@tju.edu.cn.
更新日期/Last Update: 2017-09-20