Stewart Robotic Platform for Topographic Measuring System
- Carlos Hernández-Santos(corresponding author),
- Donovan S. Labastida,
- Ernesto Rincón,
- A. Fernández-Ramírez,
- ,
- José Valderrama-Chairez
- Tecnológico Nacional de México, Mexico City,
- Instituto Tecnologico de Estudios Superiores de Monterrey
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Abstract
In this work, a prototype of an autonomous topographic metrology system that uses a self-leveling Stewart platform system is presented, with the objective of evaluating the angular uncertainty of the azimuth plane adjustment process, which would disperse an associated collimation instrument. The self-leveling process of the prototype is achieved by means of two mutually independent four-bar kinematic chains that regulate the inclination of the platform on the “x” and “y” axes. The control of the prototype is based on the regulation of the motive source, of the kinematic chains, by means of a servomotor coupled to one of the fixed articulations and an accelerometer. The comparison of the angular error of adjustment of the calculated azimuth plane and that measured independently in an array of orthogonal toroid levels shows that the error changes as a function of the initial disturbed position and converges to a fixed value that depends on the accuracy of the source controller motor, the resolution in the range of the sensor and the alignment of the links and articulations of the kinematic chain.
Publication Information
Output type
Original language
EnglishPages from-to (Number of pages)
Pages 633-645 (13 pages)Publication milestones
- Published - 2019
Publication status
Publisher
Springer, GermanyPublication series
- Publication series name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print): 0302-9743
ISSN (Electronic): 1611-3349
Volume: 11835 LNAI
ISBN (Print)
9783030337483Publication IDs
- Scopus: 85075645669
Host publication title
Advances in Soft Computing - 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, ProceedingsHost publication editors
- Lourdes Martínez-Villaseñor
- Ildar Batyrshin
- Antonio Marín-Hernández
