Wang Ruizhou, Wu Heng
State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou 510006, China.
Guangdong Provincial Key Laboratory of Cyber-Physical System, Guangdong University of Technology, Guangzhou 510006, China.
Micromachines (Basel). 2023 Feb 22;14(3):513. doi: 10.3390/mi14030513.
Micro-vision possesses high in-focus-plane motion tracking accuracy. Unfortunately, out-of-focus-plane displacements cannot be avoided, decreasing the in-focus-plane tracking accuracy of micro-vision. In this paper, a spatial nanopositioner is proposed to evaluate the out-of-focus-plane performance of a micro-vision system. A piezoelectric-actuated spatial multi-degree-of-freedom (multi-DOF) nanopositioner is introduced. Three in-plane Revolute-Revolute-Revolute-Revolute (RRRR) compliant parallel branched chains produce in-focus-plane motions. Three out-of-plane RRRR chains generate out-of-focus-plane motions. A typical micro-vision motion tracking algorithm is presented. A general grayscale template matching (GTM) approach is combined with the region of interest (ROI) method. The in-focus-plane motion tracking accuracy of the micro-vision system is tested. Different out-of-focus-plane displacements are generated using the proposed nanopositioner. The accuracy degradation of the in-focus-plane motion tracking is evaluated. The experimental results verify the evaluation ability of the proposed nanopositioner.
微观视觉具有较高的焦平面内运动跟踪精度。不幸的是,离焦平面位移无法避免,这降低了微观视觉的焦平面内跟踪精度。本文提出了一种空间纳米定位器,用于评估微观视觉系统的离焦平面性能。介绍了一种压电驱动的空间多自由度(多DOF)纳米定位器。三个平面内的旋转-旋转-旋转-旋转(RRRR)柔顺并联支链产生焦平面内运动。三个离焦平面RRRR链产生离焦平面运动。提出了一种典型的微观视觉运动跟踪算法。将通用灰度模板匹配(GTM)方法与感兴趣区域(ROI)方法相结合。测试了微观视觉系统的焦平面内运动跟踪精度。使用所提出的纳米定位器产生不同的离焦平面位移。评估了焦平面内运动跟踪的精度下降。实验结果验证了所提出纳米定位器的评估能力。