光学 精密工程, 2017, 25 (6): 1486, 网络出版: 2017-07-10   

用蚁群算法求解关节式坐标测量机的最佳测量区

Optimal measurement area of articulated coordinate measuring machine calculated by ant colony algorithm
作者单位
合肥工业大学 仪器科学与光电工程学院, 安徽 合肥 230009
摘要
本文提出了一种求解最佳测量区的方法, 以进一步提高关节式坐标测量机的测量精度。首先,根据关节式坐标测量机的测量模型, 建立了基于圆编码器测角误差的关节式坐标测量机误差模型。利用蒙特卡洛理论得到6个关节转角的随机数, 采用数值法仿真分析测量机的测量空间。然后将包含测量空间的一立方体区域等间隔切割成343个小立方体区域, 采用蚁群算法确定每个小区域由于圆编码器误差所引起的最大测量误差。最后, 通过比较找到其中最大测量误差最小的区域, 即为最佳测量区。研究结果表明, 对于所研究的关节式坐标测量机, 各个小区域的最大误差为0.069 9~0.189 6 mm, 其中最小值为0.069 9 mm的区域为-100 mm≤x≤100 mm, -100 mm≤y≤100 mm, 400 mm≤z≤600 mm。采用本文方法确定的最佳测量区在测量空间内为一个立方体区域, 故在最佳测量区进行较高精度的测量具有实用性和可操作性。
Abstract
A method to solve the optimal measurement zone was proposed to improve the measurement accuracy of the articulated coordinate measuring machine. According to the measurement model of the articulated coordinate measuring machine, the error model of the articulated coordinate measuring machine was established on the basis of angle measurement error of the circle grating encoder. 6 random numbers of the articulation rotation angle could be obtained by taking advantages of Monte Carlo theory; and the measurement space of the measuring machine could be simulated by using the numerical method. Then, the cube region which include measurement space were divided into 343 small cube regions and the ant colony algorithm was used to determine the maximum measuring error of each region caused by the error of the circle grating encoder. Finally, minimum region of the maximum measuring error was found and as the optimal measurement zone by comparison. The result of the research is shown that in terms of the researched articulated coordinate measuring machine, the scope of the maximum error for each small region is from 0.069 9 mm to 0.189 6 mm. Among them the region of the minimum value which is 0.069 9 mm is -100 mm ≤x≤100 mm, -100 mm≤y≤100 mm, 400 mm≤z≤600 mm. The optimal measurement zone determined by proposed method is a cube region within the measurement space, which make it have the practicability and operability to conduct higher-accuracy measurement in the optimal measurement zone.
参考文献

[1] 高贯斌, 王文, 林铿, 等.应用改进模拟退火算法实现关节臂式坐标测量机的参数辨识[J].光学 精密工程,2009,17(10): 2499-2505.

    GAO G B, WANG W,LIN K, et al..Parameter identification based on modified annealing algorithm for articulated arm CMMs[J]. Opt. Precision Eng., 2009,17(10): 2499-2505. (in Chinese)

[2] 王文, 高贯斌, 林铿,等.关节臂式坐标测量机角度传感器偏心参数辨识[J].光学 精密工程,2010,18(1): 135-141.

    WANG W, GAO G B, LIN K, et al.. Eccentricity parameter identification of angle sensors for articulated arm CMMs[J]. Opt. Precision Eng., 2010,18(1): 135-141. (in Chinese)

[3] 崔亚军, 陈青山, 祝连庆,等.关节式坐标测量机初始位姿对误差影响研究[J].工具技术, 2012, 46(7): 76-79.

    CUI Y J,CHEN Q SH,ZHU L Q, et al.. Study on error of initial position of multi-joint coordinate measuring machine[J].Tool Engineering, 2012,46(7): 76-79. (inChinese)

[4] 黄奎, 莫健华, 钟凯,等.柔性关节臂式测量机的误差仿真分析[J].北京科技大学学报, 2010,32(10): 1346-1352.

    HUANG K, MO J H,ZHONG K, et al.. Simulation of error analysis for flexible articulated arm coordinate measuring machines[J].Journal of University of Science and Technology of Beijing, 2010,32(10): 1346-1352.(in Chinese)

[5] 郑大腾. 柔性坐标测量机空间误差模型及最佳测量区研究[D].合肥: 合肥工业大学, 2010.

    ZHEN D T. Research on spatial error model and optimal measurement area of flexible coordinate measuring machine[D]. Hefei: Hefei University of Technology, 2010. (in Chinese)

[6] 尚平, 费业泰. 柔性关节式坐标测量机误差源分析与建模[J].工具技术, 2009, 43(8): 95-98.

    SHANG P, FEI Y T. Error source analysis and modeling of flexible joint coordinate measuring machine[J].Tool Engineering,2006, 2009,43(8): 95-98.(in Chinese)

[7] 郑大腾, 吴全玉.支持向量机的关节坐标测量机最佳测量区研究[J].电子测量与仪器学报,2011,25(12): 1025-1029.

    ZHENG D T, WU Q Y.Research on optimal measurement area of joint coordinate measuring machine with support vector machine[J].Journal of Electronic Measurement and Instrument,2011,25(12): 1025-1029.(in Chinese)

[8] 秦自瑞.圆分度误差匹配技术在柔性关节臂最佳测量区优化中的应用研究[D].合肥: 合肥工业大学,2012.

    QIN Z R. Application and research of matching techniques of circular indexing error on optimal measurement areas of FCMM[D].Hefei: Hefei University of Technology, 2012. (in Chinese)

[9] 高贯斌, 王文, 林铿,等.关节臂式坐标测量机误差仿真系统建模与分析[J].计算机集成制造系统, 2009, 15(8): 1534-1540.

    GAO G B, WANG W, LIN K,et al.. Error-simulation system modeling and error analyzing of an articulated arm coordinate Measuring machine[J]. Computer Integrated Manufacturing System,2009, 15(8): 1534-1540. (in Chinese)

[10] 周爱国, 周飞, 吕刚,等.关节臂式坐标测量机的运动学与工作空间分析[J].机械传动, 2015(1): 48-51.

    ZHOU A G, ZHOU F, LV G, et al.. Kinematics and workspace analysis for articulated arm coordinate measuring machine[J].Journal of Mechanical Transmission, 2015(1): 48-51. (in Chinese)

[11] 郑大腾,费业泰.基于MonteCarlo理论的柔性坐标测量机测量空间分析[J].计量学报, 2010,31(4): 294-298.

    ZHENG D T, FEI Y T. Measurement space analysis of flexible coordinate measuring machine based on MonteCarlo theory[J].Acta Metrologica Sinica, 2010,31(4): 294-298. (in Chinese)

[12] 王宜举, 修乃华.非线性最优化理论与方法[M].北京: 科学出版社,2012.

    WANG Y J,XIU N H.Nonlinear Optimization Theory and Method[M].Beijing: science press,2012. (in Chinese)

[13] 吴华锋, 陈信强,毛奇凰, 等. 基于自然选择策略的蚁群算法求解TSP问题[J].通信学报, 2013(4): 165-170.

    WU H F, CHEN X Q,MAO Q H, et al.. Improved ant colony algorithm based on natural selection strategy for sloving TSP problem[J]. Journal on Communication,2013(4): 165-170. (in Chinese)

[14] 毕军, 付梦印, 张宇河.一种改进的蚁群算法求解最短路径问题[J].计算机工程与应用, 2003,39(3): 107-109.

    BI J, FU M Y, ZHANG Y H. An improved ant colony algorithm for the shortest path problem[J]. Computer Engineering and Applications, 2003, 39(3): 107-109. (in Chinese)

[15] 龚雨兵, 陈志远, 杨世模.改进蚁群优化组合法在长缝光谱仪结构优化中的应用[J].光学 精密工程, 2009,17(4): 713-719.

    GONG Y B, CHEN ZH Y, YANG SH M. Application of combined optimization design based on improved ACO to structural optimization of long slit spectrograph[J]. Opt. Precision Eng., 2009,17(4): 713-719.(in Chinese)

胡毅, 江超, 黄炜, 胡鹏浩. 用蚁群算法求解关节式坐标测量机的最佳测量区[J]. 光学 精密工程, 2017, 25(6): 1486. HU Yi, JIANG Chao, HUANG Wei, HU Peng-hao. Optimal measurement area of articulated coordinate measuring machine calculated by ant colony algorithm[J]. Optics and Precision Engineering, 2017, 25(6): 1486.

本文已被 3 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!