中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
基于显微视觉的亚像素压电陶瓷驱动特性测量

文献类型:期刊论文

作者刘艳梅; 金博伟; 魏阳杰; 薛定宇; 董再励
刊名仪器仪表学报
出版日期2015
卷号36期号:5页码:1163-1169
关键词微纳米操作 压电陶瓷驱动器 Harris角点 亚像素
ISSN号0254-3087
其他题名Measurement on driving characteristic of a piezoelectric actuator based on the sub-pixel of micro-vision
产权排序2
中文摘要为了得到纳米操作压电陶瓷驱动器高精度的驱动特性,提出一种基于显微视觉的亚像素位移测量方法。本文采用Harris角点初始定位,对标准的栅格图像序列进行角点匹配,获得模板匹配的初始区域。并提出了二元拉格朗日插值与二元非线性Newton-Raphson迭代算法的亚像素位移测量方法,能够在保证良好测量精度的同时有效地减少亚像素匹配中耗时的相关计算。最后使用改进的亚像素图像块匹配方法对实际的压电陶瓷驱动器的驱动特性进行了测量,并与真实结果和理论模型描述结果进行了对比。实验结果表明,该算法位移测量精度高、稳定性好,得到的压电陶瓷驱动特性曲线符合物理分析结果,能够满足高精度的微纳米测量要求。
英文摘要In order to obtain driving characteristics of the piezoelectric actuator, a sub-pixel displacement measurement method based on micro-vision is proposed. The initial position is solved by the Harris corner location method. The initial template matching region is obtained by corner matching to critena raster image sequence. The sub-pixel displacement measurement method of duality Lagrange interpolation and nonlinear Newton-Raphson iterated algorithm are proposed, which can effectively reduce the time-consuming for sub-pixel matching related calculations to ensure the good measurement accuracy. A modified sub-pixel image block matching method is used to measure the actual driving characteristics of piezoelectric actuators, and the measurement result is compared with the real displacement and PI model. Experimental results show that the algorithm of displacement measurement exhibits high accuracy and good stability. Piezoelectric characteristic curves obtained agree with the results of physical analysis and can satisfy requirements of high-precision measurements of nanomanipulation.
收录类别EI ; CSCD
语种中文
CSCD记录号CSCD:5432193
源URL[http://ir.sia.ac.cn/handle/173321/16214]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
刘艳梅,金博伟,魏阳杰,等. 基于显微视觉的亚像素压电陶瓷驱动特性测量[J]. 仪器仪表学报,2015,36(5):1163-1169.
APA 刘艳梅,金博伟,魏阳杰,薛定宇,&董再励.(2015).基于显微视觉的亚像素压电陶瓷驱动特性测量.仪器仪表学报,36(5),1163-1169.
MLA 刘艳梅,et al."基于显微视觉的亚像素压电陶瓷驱动特性测量".仪器仪表学报 36.5(2015):1163-1169.

入库方式: OAI收割

来源:沈阳自动化研究所

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