Swing control for a three-link brachiation robot based on sliding-mode control on irregularly distributed bars
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Published:2021-12-03
Issue:2
Volume:12
Page:1073-1081
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ISSN:2191-916X
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Container-title:Mechanical Sciences
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language:en
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Short-container-title:Mech. Sci.
Author:
Lu Zhiguo,Liu Guoshuai,Zhao Haibin,Wang Ruchao,Liu Chong
Abstract
Abstract. The bionic-gibbon robot is a popular bionic robot. The bionic-gibbon robot can imitate a gibbon in completing brachiation
motion between branches. With nonlinear and underactuated properties, the
robot has important research value. This paper designs a type of
bionic-gibbon robot with three links and two grippers. To simplify the
controller, a plane control model is proposed, and its dynamic model is established. The control strategy in this paper divides the brachiation
motion into several processes: adjust posture, open the gripper, the swing process and close the gripper. Based on sliding-mode control (SMC), the control method for the swing process is designed. The target position of the
brachiation motion is set as the origin of the sliding-mode surface. In a finite time, the robot will reach the target position along the approach
rate we adopt. In this way, the robot can complete the desired brachiation
motion only by setting the position parameters of the target bar. We perform
some simulations in ROS-Gazebo. The simulation results show that the
bionic-gibbon robot can complete continuous brachiation motion on irregularly distributed bars. The sliding-mode control and the three-link
structure significantly improve the robustness and swing efficiency of the
bionic-gibbon robot.
Funder
Ministry of Science and Technology of the People's Republic of China
Publisher
Copernicus GmbH
Subject
Industrial and Manufacturing Engineering,Fluid Flow and Transfer Processes,Mechanical Engineering,Mechanics of Materials,Civil and Structural Engineering,Control and Systems Engineering
Reference23 articles.
1. Doi, M., Kojima, S., Matsuno, T., Fukuda, T., and Hasegawa, Y.: Analytical
Design Method of Brachiation Controller on the Irregular Ladder, in:
Proceedings of The First IEEE/RAS-EMBS International Conference on
Biomedical Robotics and Biomechatronics, Pisa, Italy, 20–22 February 2006,
887–892, 2006. 2. Fukuda, T., Kojima, S., Sekiyama, K., and Hasegawa, Y.: Energy Efficient
Swing-Back Control for Brachiation Robot, in: Proceedings of 2006 IEEE
International Symposium on MicroNanoMechanical and Human Science, Nagoya,
Japan, 5–8 November 2006, 1–6, 2006. 3. Hasegawa, Y., Fukuda, T., and Shimojima, K.: Self-scaling reinforcement
learning for fuzzy logic controller-applications to motion control of
two-link brachiation robot, IEEE T. Ind. Electron., 46, 1123–1131,
https://doi.org/10.1109/41.807999, 1999. 4. Hengmin, Q., Chen, Y. C., Zhang, N., Zhang, B. J., Wang, D., and Tan, B.:
Improvement of both handling stability and ride comfort of a vehicle via
coupled hydraulically interconnected suspension and electronic controlled
air spring, P. I. Mech. Eng., 2–3,
552–571, https://doi.org/10.1177/0954407019856538, 2020. 5. Ioannou, P. and Sun, J.: Robust Adaptive Control, Prentice Hall, New Jersey,
America, 75 pp., 1995.
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