Modeling and Compensation of Positioning Error in Micromanipulation

In order to improve the positioning accuracy of the micromanipulation system, a comprehensive error model is first established to take into account the microscope nonlinear imaging distortion, camera installation error, and the mechanical displacement error of the motorized stage. A novel error comp...

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Main Authors: Miao Hao, Bin Yang, Changhai Ru, Chunfeng Yue, Zongjie Huang, Rongan Zhai, Yu Sun, Yong Wang, Changsheng Dai
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/14/4/779
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author Miao Hao
Bin Yang
Changhai Ru
Chunfeng Yue
Zongjie Huang
Rongan Zhai
Yu Sun
Yong Wang
Changsheng Dai
author_facet Miao Hao
Bin Yang
Changhai Ru
Chunfeng Yue
Zongjie Huang
Rongan Zhai
Yu Sun
Yong Wang
Changsheng Dai
author_sort Miao Hao
collection DOAJ
description In order to improve the positioning accuracy of the micromanipulation system, a comprehensive error model is first established to take into account the microscope nonlinear imaging distortion, camera installation error, and the mechanical displacement error of the motorized stage. A novel error compensation method is then proposed with distortion compensation coefficients obtained by the Levenberg–Marquardt optimization algorithm combined with the deduced nonlinear imaging model. The compensation coefficients for camera installation error and mechanical displacement error are derived from the rigid-body translation technique and image stitching algorithm. To validate the error compensation model, single shot and cumulative error tests were designed. The experimental results show that after the error compensation, the displacement errors were controlled within 0.25 μm when moving in a single direction and within 0.02 μm per 1000 μm when moving in multiple directions.
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spelling doaj.art-4434a6c129744384933bfefd5a4e180e2023-11-17T20:29:14ZengMDPI AGMicromachines2072-666X2023-03-0114477910.3390/mi14040779Modeling and Compensation of Positioning Error in MicromanipulationMiao Hao0Bin Yang1Changhai Ru2Chunfeng Yue3Zongjie Huang4Rongan Zhai5Yu Sun6Yong Wang7Changsheng Dai8School of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, ChinaThe Reproductive Medicine Centre, The First Affiliated Hospital of Suzhou University, Suzhou 215031, ChinaSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSuzhou Boundless Medical Technology Co., Ltd., Suzhou 215163, ChinaSuzhou Boundless Medical Technology Co., Ltd., Suzhou 215163, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, ChinaDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, CanadaSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Mechanical Engineering, Dalian University of Technology, Dalian 116081, ChinaIn order to improve the positioning accuracy of the micromanipulation system, a comprehensive error model is first established to take into account the microscope nonlinear imaging distortion, camera installation error, and the mechanical displacement error of the motorized stage. A novel error compensation method is then proposed with distortion compensation coefficients obtained by the Levenberg–Marquardt optimization algorithm combined with the deduced nonlinear imaging model. The compensation coefficients for camera installation error and mechanical displacement error are derived from the rigid-body translation technique and image stitching algorithm. To validate the error compensation model, single shot and cumulative error tests were designed. The experimental results show that after the error compensation, the displacement errors were controlled within 0.25 μm when moving in a single direction and within 0.02 μm per 1000 μm when moving in multiple directions.https://www.mdpi.com/2072-666X/14/4/779micromanipulation platformsystematic errorimage stitchingerror compensation model
spellingShingle Miao Hao
Bin Yang
Changhai Ru
Chunfeng Yue
Zongjie Huang
Rongan Zhai
Yu Sun
Yong Wang
Changsheng Dai
Modeling and Compensation of Positioning Error in Micromanipulation
Micromachines
micromanipulation platform
systematic error
image stitching
error compensation model
title Modeling and Compensation of Positioning Error in Micromanipulation
title_full Modeling and Compensation of Positioning Error in Micromanipulation
title_fullStr Modeling and Compensation of Positioning Error in Micromanipulation
title_full_unstemmed Modeling and Compensation of Positioning Error in Micromanipulation
title_short Modeling and Compensation of Positioning Error in Micromanipulation
title_sort modeling and compensation of positioning error in micromanipulation
topic micromanipulation platform
systematic error
image stitching
error compensation model
url https://www.mdpi.com/2072-666X/14/4/779
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