A Parallel Ranging-Based Relative Position and Orientation Measurement Method for Large-Volume Components
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this paper, a novel relative position and orientation (R-P&O) measurement method for large-volume components is proposed.
Based on the method, the parallel distances between the cooperative point pairs (CPPs) are collected by multiple pairs of wireless ranging sensors which are installed on respective components and finally turned into the R-P&O.
Accordingly, a measurement model is built and an algorithm is designed to solve the model, in which the radial basis function neural network (RBFNN) produces a preliminary solution by offline training and the differential evolution (DE) strategy finds the accurate solution by online heuristic searching.
Furthermore, the crucial parameters and the performance of the algorithm are analyzed through simulating a virtual alignment process which proves that the RBFNN-DE algorithm can quickly and accurately find the global optimal solution in the whole effective workspace.
Besides the theory study, a ranging device based on ultrasound has been developed along with a calibration method.
Depending on the device, an experiment of actual alignment is implemented to verify the algorithm.
Experimental results indicate that the error of R-P&O is no more than 4.1 mm and 0.32° when the ranging error is 0.1 mm, compared with the measurement result of indoor GPS (iGPS).
American Psychological Association (APA)
Wu, Dian& Du, Fuzhou. 2018. A Parallel Ranging-Based Relative Position and Orientation Measurement Method for Large-Volume Components. Journal of Sensors،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1200903
Modern Language Association (MLA)
Wu, Dian& Du, Fuzhou. A Parallel Ranging-Based Relative Position and Orientation Measurement Method for Large-Volume Components. Journal of Sensors No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1200903
American Medical Association (AMA)
Wu, Dian& Du, Fuzhou. A Parallel Ranging-Based Relative Position and Orientation Measurement Method for Large-Volume Components. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1200903
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200903