Self-calibration method of two-dimensional grid plate

2011 ◽  
Author(s):  
Guoqing Ding ◽  
Xin Chen ◽  
Lihua Wang ◽  
Lihua Lei ◽  
Yuan Li
Keyword(s):  
Calibration Method ◽  
Two Dimensional ◽  
Self Calibration ◽  
Grid Plate

Square Layout Four-Point Method for Two-Dimensional Profile Measurement and Self-Calibration Method of Zero-Adjustment Error

2018 ◽  
Vol 12 (5) ◽  
pp. 707-713 ◽  
Author(s):  
Hiroki Shimizu ◽  
◽  
Ryousuke Yamashita ◽  
Takuya Hashiguchi ◽  
Tasuku Miyata ◽  
...  
Keyword(s):  
Calibration Method ◽  
Recurrence Equation ◽  
Profile Measurement ◽  
Two Dimensional ◽  
Measuring Point ◽  
Self Calibration ◽  
Displacement Sensors ◽  
Adjustment Error ◽  
Scan Line ◽  
Height Data

An on-machine measurement method, called the square-layout four-point (SLFP) method with angle compensation, for evaluating two-dimensional (2-D) profiles of flat machined surfaces is proposed. In this method, four displacement sensors are arranged in a square and mounted to the scanning table of a 2-D stage. For measuring the 2-D profile of a target plane, height data corresponding to all measuring points are acquired by means of the raster scanning motion. At the same time, pitching data of the first primary scan line and rolling data of the first subsidiary scan line are monitored by means of two auto-collimators to compensate for major profile errors that arise out of the posture error. Use of the SLFP method facilitates connection of the results of straightness-measurements results obtained for each scanning line by using two additional sensors and rolling data of the first subsidiary scan line. Specifically, the height of a measuring point is calculated by means of a recurrence equation using three predetermined height data for adjacent points in conjunction with data acquired by the four displacement sensors. Results of the numerical simulation performed in this study demonstrate higher efficiency of the SLFP method with angle compensation. During actual measurement, however, it is difficult to perfectly align inline the origin height of each displacement sensor. With regard to the SLFP method, zero-adjustment error is defined as the relative height of a sensor’s origin with respect to the plane comprising origins of the other three sensors. This error accumulates in proportion to number of times the recurrence equation is applied. Simulation results containing the zero-adjustment error demonstrate that accumulation of the said error results in unignorable distortion of measurement results. Therefore, a new self-calibration method for the zero-adjustment error has been proposed. During 2-D profile measurement, two different calculation paths – the raster scan path and orthogonal path – can be used to determine the height of a measurement point. Although heights determined through use of the two paths must ideally be equal, they are observed to be different because accumulated zero-adjustment errors for the two paths are different. In view of this result, the zero-adjustment error can be calculated backwards and calibrated. Validity of the calibration method has been confirmed via simulations and experiments.

Sensor Array Self-Calibration for Two-Dimensional Direction of Arrival Estimation

2012 ◽  
Vol 490-495 ◽  
pp. 534-537
Author(s):  
Da Wei Xiao ◽  
Jin Fang Cheng ◽  
Yi Liu
Keyword(s):  
Sensor Array ◽  
Linear Array ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Calibration Method ◽  
Estimation Accuracy ◽  
Two Dimensional ◽  
Uniform Linear Array ◽  
Actual Measurement ◽  
Self Calibration

In recent years, high-resolution Direction of Arrival (DOA) estimation with a sensor array has become indispensable for various applications. In actual measurement, however, DOA estimation accuracy is deteriorated by many error factors. For a uniform linear array (ULA), there exist algorithms for self-calibration for single-dimensional (1-D) DOA estimation. In this paper, we develop a simple self-calibration method for two-dimensional (2-D) DOA estimation with an L-shaped array.

A self-calibration method for rotary tables’ five degrees-of-freedom error motions

Measurement ◽  
2021 ◽  
Vol 174 ◽  
pp. 109067
Author(s):  
Zhi-Feng Lou ◽  
Li Liu ◽  
Ji-Yun Zhang ◽  
Kuang-chao Fan ◽  
Xiao-Dong Wang
Keyword(s):  
Degrees Of Freedom ◽  
Calibration Method ◽  
Self Calibration

scholarly journals A Vision-Based Self-Calibration Method for Robotic Visual Inspection Systems

Sensors ◽  
2013 ◽  
Vol 13 (12) ◽  
pp. 16565-16582 ◽  
Author(s):  
Shibin Yin ◽  
Yongjie Ren ◽  
Jigui Zhu ◽  
Shourui Yang ◽  
Shenghua Ye
Keyword(s):  
Visual Inspection ◽  
Calibration Method ◽  
Self Calibration ◽  
Inspection Systems

A Non-Intrusive Self-Calibration Method for the Circuit Design of Inductorless Low Noise Amplifier

2021 ◽  
Author(s):  
Wenrun Xiao ◽  
Weikang Wu ◽  
Yinghui Chang ◽  
Jidong Diao ◽  
Yanping Qiao ◽  
...  
Keyword(s):  
Circuit Design ◽  
Calibration Method ◽  
Low Noise ◽  
Low Noise Amplifier ◽  
Self Calibration ◽  
Noise Amplifier
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