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Authors: Shuo Wang ; Zhiyuan Yan ; Zhengxin Yang and Zhijiang Du

Affiliation: State Key Laboratory of Robotics and System, Harbin Institute of Technology, China

Keyword(s): Haptic device, Gravity-compensation, Principle of virtual work, BP neural network

Abstract: The haptic device is the key facility in the master-slave minimally invasive surgery system, a gravity- compensation algorithm is proposed for this device. The structure of this device mentioned in this paper is a combination of serial and parallel structure, and it has 6 degrees of freedom. 3 motors are installed at 3 active joints respectively. In order to establish the dynamic equation of the haptic device, the device is simplified and the torque which is used to compensate the gravity is calculated by the principle of virtual work (Codourey A, 1998). Then the whole process of gravity-compensation is simulated under the environment of a dynamic software. After the comparison between the theoretical model and the simulation result, errors are shown and compensated through BP neural network, the performance of the gravity-compensation is improved.

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Paper citation in several formats:
Wang, S.; Yan, Z.; Yang, Z. and Du, Z. (2018). A Gravity-Compensation Algorithm for the Haptic Device Based on the Principle of Virtual Work and BP Neural Network. In 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT; ISBN 978-989-758-312-4, SciTePress, pages 599-605. DOI: 10.5220/0006975305990605

@conference{icectt18,
author={Shuo Wang. and Zhiyuan Yan. and Zhengxin Yang. and Zhijiang Du.},
title={A Gravity-Compensation Algorithm for the Haptic Device Based on the Principle of Virtual Work and BP Neural Network},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT},
year={2018},
pages={599-605},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006975305990605},
isbn={978-989-758-312-4},
}

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT
TI - A Gravity-Compensation Algorithm for the Haptic Device Based on the Principle of Virtual Work and BP Neural Network
SN - 978-989-758-312-4
AU - Wang, S.
AU - Yan, Z.
AU - Yang, Z.
AU - Du, Z.
PY - 2018
SP - 599
EP - 605
DO - 10.5220/0006975305990605
PB - SciTePress