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Proceedings Paper

Stability improvement of a four cable-driven parallel manipulator using a center of mass balance system
Author(s): Iman Salafian; Blake Stewart; Matthew Newman; Arthur I. Zygielbaum; Benjamin Terry
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Paper Abstract

A four cable-driven parallel manipulator (CDPM), consisting of sophisticated spectrometers and imagers, is under development for use in acquiring phenotypic and environmental data over an acre-sized crop field. To obtain accurate and high quality data from the instruments, the end effector must be stable during sensing. One of the factors that reduces stability is the center of mass offset of the end effector, which can cause a pendulum effect or undesired tilt angle. The purpose of this work is to develop a system and method for balancing the center of mass of a 12th-scale CDPM to minimize vibration that can cause error in the acquired data. A simple method for balancing the end effector is needed to enable end users of the CDPM to arbitrarily add and remove sensors and imagers from the end effector as their experiments may require. A Center of Mass Balancing System (CMBS) is developed in this study which consists of an adjustable system of weights and a gimbal for tilt mitigation. An electronic circuit board including an orientation sensor, wireless data communication, and load cells was designed to validate the CMBS. To measure improvements gained by the CMBS, several static and dynamic experiments are carried out. In the experiments, the dynamic vibrations due to the translational motion and static orientation were measured with and without CMBS use. The results show that the CMBS system improves the stability of the end-effector by decreasing vibration and static tilt angle.

Paper Details

Date Published: 28 April 2017
PDF: 12 pages
Proc. SPIE 10213, Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards 2017, 102130K (28 April 2017); doi: 10.1117/12.2262403
Show Author Affiliations
Iman Salafian, Univ. of Nebraska-Lincoln (United States)
Blake Stewart, Univ. of Nebraska-Lincoln (United States)
Matthew Newman, Univ. of Nebraska-Lincoln (United States)
Arthur I. Zygielbaum, Univ. of Nebraska-Lincoln (United States)
Benjamin Terry, Univ. of Nebraska-Lincoln (United States)

Published in SPIE Proceedings Vol. 10213:
Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards 2017
David P. Bannon, Editor(s)

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