[1]叶衡,谢明红.连续微线段柔性加减速自适应前瞻规划算法[J].华侨大学学报(自然科学版),2021,42(1):1-8.[doi:10.11830/ISSN.1000-5013.201912036]
　YE Heng,XIE Minghong.Self-Adaptation Look-Ahead Planning Algorithm Based onContinuous Micro Line Flexible Acceleration and Deceleration[J].Journal of Huaqiao University(Natural Science),2021,42(1):1-8.[doi:10.11830/ISSN.1000-5013.201912036]
点击复制

连续微线段柔性加减速自适应前瞻规划算法()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第42卷
期数:
2021年第1期
页码:
1-8
栏目:
出版日期:
2021-01-20

文章信息/Info

Title:
Self-Adaptation Look-Ahead Planning Algorithm Based onContinuous Micro Line Flexible Acceleration and Deceleration
文章编号:
1000-5013(2021)01-0001-08
作者:
叶衡;  谢明红
华侨大学 机电及自动化学院, 福建 厦门361021
Author(s):
YE Heng;  XIE Minghong
College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
关键词:
微线段;  前瞻算法;  S曲线加减速;  自适应;  数控机床;  高速加工
Keywords:
micro line;  look-ahead algorithm;  S-curve acceleration and deceleration;  self-adaptation;  computerised numerical control machine;  high speed machining
分类号:
TG659
DOI:
10.11830/ISSN.1000-5013.201912036
文献标志码:
A
摘要:
针对目前数控加工代码大多是连续微线段的情况,提出一种新型的自适应前瞻规划算法.首先,采用简化的S曲线加减速减少计算时间,提高加工过程的平稳性,并采用二分法求解段内可达到的最高速度;然后,采用识别速度敏感点的方法分割前瞻区间,实现自适应动态规划,进一步优化前瞻区间的终点速度,提高加工效率;最后,通过模拟实验验证算法的可行性.结果表明:相较于传统规划算法与其他前瞻规划算法,文中前瞻规划算法可显著提高加工效率.
Abstract:
In view of the fact that most numerical control machining codes are continuous micro lines, a new self-adaptation look-ahead planning algorithm was proposed. Firstly, the simplified S-curve acceleration and deceleration method was used to reduce the calculation time and improve the smoothness of the machining process, and the dichotomy method was used to solve the maximum speed that can be achieved in the segment. Then, the method of identifying speed sensitive points was used to segment the look-ahead interval to realize self-adaptation dynamic planning, which further optimized the terminal speed of the look-ahead interval and improved the processing efficiency. Finally, the feasibility of the algorithm was verified by simulation experiments. The results show that the proposed planning algorithm can significantly improve the machining efficiency compared with the traditional planning algorithm and other look-ahead planning algorithm.

参考文献/References:

[1] 李浩,吴文江,韩文业,等.基于自适应前瞻和预测校正的实时柔性加减速控制算法[J].中国机械工程,2019,30(6):690-699.DOI:10.3969/j.issn.1004-132X.2019.06.010.
[2] 陈琳,黄旭丰,刘梦,等.综合多约束条件优化连续轨迹前瞻算法[J].机械工程学报,2019,55(13):151-159.DOI: 10.3901/JME.2019.13.151.
[3] 陈日东,李迪,王世勇,等.连续轨迹动态前瞻插补算法研究[J].电子设计工程,2017,25(7):152-155,160.DOI:10.14022/j.cnki.dzsjgc.2017.07.037.
[4] 王耀庭,张秋菊,成津赛.高速嵌入式数控系统速度前瞻控制算法的研究[J].机械科学与技术,2014,33(12):1850-1853.DOI:10.13433/j.cnki.1003-8728.2014.1218.
[5] 钟前进,王科,丁信忠.一种新型S加减速算法研究[J].电气传动,2019,49(6):8-12,37.DOI:10.19457/j.1001-2095.dqcd18616.
[6] 司慧晓,吴文江,李浩.基于圆弧过渡的五段S型加减速算法[J].组合机床与自动化加工技术,2017(3):6-9,13.DOI:10.13462/j.cnki.mmtamt.2017.03.002.
[7] 王海涛.数控系统速度前瞻控制算法及其实现[D].南京:南京航空航天大学,2011.
[8] 许东伟.多轴数控系统的运动控制算法研究与开发[D].广州:广东工业大学,2015.
[9] LEE C S.Generation of velocity profiles with speed limit of each axis for high-speed machining using look-ahead buffer[J].International Journal of Precision Engineering and Manufacturing,2010,11(2):201-208.DOI:10.1007/s12541-010-0023-2.
[10] ERKORKMAZ K,ALTINTAS Y.High speed CNC system design(PartⅠ): Jerk limited trajectory generation and quintic spline interpolation[J].International Journal of Machine Tools and Manufacture,2001,41(9):1323-1345.
[11] 李志杰,蔡力钢,刘志峰.加加速度连续的S型加减速规划算法[J].计算机集成制造系统,2019,25(5):1192-1201.
[12] 李淑梅,谢明红.高速高精度数控系统速度平稳控制策略[J].华侨大学学报(自然科学版),2016,37(4):411-415.DOI:10.11830/ISSN.1000-5013.201604004.
[13] 李淑梅.高速高精度五轴数控系统前瞻算法研究[D].厦门:华侨大学,2016.
[14] 王旭浩,张华.多轨迹段平滑过渡的前瞻插补算法[J].计算机系统应用,2020,29(4):118-125.DOI:10.15888/j.cnki.csa.007350.
[15] 朱长峰.连续微线段高速加工数控系统路径与速度前瞻规划算法研究[D].杭州:浙江大学,2018.
[16] HAO Li,WU Wenjiang,RASTEGAR J,et al.A real-time and look-ahead interpolation algorithm with axial jerk-smooth transition scheme for computer numerical control machining of micro-line segments[J].Journal of Engineering Manufacture,2019,233(9):2007-2019.DOI:10.1177/0954405418809768.
[17] 金永乔.微小线段高速加工的轨迹优化建模及前瞻插补技术研究[D].上海:上海交通大学,2015.
[18] 杨珖.高速加工数控系统NURBS曲线前瞻直接插补关键算法研究与实现[D].杭州:浙江大学,2019.

备注/Memo

备注/Memo:
收稿日期: 2019-12-29
通信作者: 谢明红(1968-),男,研究员,博士,主要从事数控技术、CAD/CAM及计算机视觉的研究.E-mail:xmh@hqu.edu.cn.
基金项目: 国家自然科学基金面上资助项目(51875218); 华侨大学研究生科研创新基金资助项目(18013080038)
更新日期/Last Update: 2021-01-20