Gait Generator of Hexapod Robot on Slope Terrain Based on Hopf Oscillator with Feedback

被引：0
|
作者：
Yang X. [1 ]
Guo Z. [1 ]
Wang B. [1 ]
Wang L. [1 ]
Jin Y. [1 ]
机构：
[1] College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou
来源：
Wang, Binrui (wangbinrui@163.com) | 2018年 / Chinese Mechanical Engineering Society卷 / 54期
关键词：
Feedback Hopf oscillator; Hexapod robot; Matlab-ADAMS co-simulation; Slope gait; Static stability margin;
D O I：
10.3901/JME.2018.21.041
中图分类号：
学科分类号：
摘要：
To improve the walking stability of the hexapod robot on slope, based on the tripod gait the walking stability of hexapod robot on slope terrain is analyzed, and the relationship between static stability margin and pitch angle of body is acquired. The relationship between the output characters of Hopf oscillator and the convergence coefficient, variable feedback are studied, joint signals generater of the single leg and the coupling model between legs are designed based on feedback hopf model. Choosing the group of convergence coefficient, and bringing in the pitch angle to construct feedback value, in order to improve the stability of hexapod robot's walking on slope terrain just by changing the knee angle. Union simulation platform of Matlab-ADAMS and physical prototype for testing are constructed. The simulation result is that the stability margin of walking up 12° slope terrain is increased by 6.3 percent and the SM of walking down 12° slope terrain is increased by 7.2 percent compared with the Hopf oscillator. The experiment result is that at the same condition of walking 1 meter, the offset to the left is 0.3 meter under Hopf model, the offset to the left is 0.05 meter under feedback Hopf model. The stability margin improves observably. © 2018 Journal of Mechanical Engineering.
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页码：41 / 48
页数：7
相关论文
共 16 条
  • [1] Ijspeert A.J., Central pattern generators for locomotion control in animals: A review, Neural Networks, 21, 4, pp. 642-653, (2008)
  • [2] Li M., Zhang M., Zhang J., Et al., Free gait generation algorithm for a hexapod robot based on discretization, Journal of Mechanical Engineering, 52, 3, pp. 18-25, (2016)
  • [3] Gao Q., Wang Z., Zhao H., Et al., Gait control for a snake robot based on Hopf oscillator model, Robot, 6, pp. 688-696, (2014)
  • [4] Chen W.H., Liu T., Wang J.H., Et al., Sensor signal processing and omnidirectional locomotion control of a bio-inspired hexapod robot, Journal of Zhejiang University, 49, 3, pp. 430-438, (2015)
  • [5] Tang C., Ma S., Li B., Et al., Self-adaptable biomimetic control strategy for snake robots based on neural stepping stimulation mechanism, Journal of Mechanical Engineering, 49, 1, pp. 53-62, (2013)
  • [6] Ren J., Xu H., Gan S., Et al., CPG model design based on hopf oscillator for hexapod robots gait, CAAI Transaction on Intelligent System, 11, 5, pp. 627-634, (2016)
  • [7] Xu Y., Gao F., Pan Y., Et al., Method for six-legged robot stepping on obstacles by indirect force estimation, Chinese Journal of Mechanical Engineering, 29, 4, pp. 1-11, (2016)
  • [8] Meng J., Li Y., Chai H., Et al., Gait planning and control of quadruped robots in continuous irregular steps environment, Robot, 1, pp. 85-93, (2015)
  • [9] Roennau A., Heppner G., Nowicki M., Et al., Reactive posture behaviors for stable legged locomotion over steep inclines and large obstacles, IEEE/RSJ International Conference on Intelligent Robot and Systems, pp. 4888-4894, (2014)
  • [10] Terryn R., Flamand S., Saldien J., Et al., Innovative design of a hexapod scorpion through digital production techniques, Proceedings of the 19th International Conference on CLAWAR, pp. 267-277, (2016)
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