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Research Article

Research on Motion Control Optimization of Quadruped Crawling Robot for Continuous Slope

Author(s): Peng Zhang, TianYu Wang, Ren Quan Dong, XiuLian Liu and Peng Wang*

Volume 18, Issue 2, 2024

Published on: 21 March, 2023

Article ID: e140223213679 Pages: 14

DOI: 10.2174/1872212117666230214112829

Price: $65

Abstract

Background: In recent years, literature has suggested that quadruped crawling robots have been widely used in the field of reconnaissance on rugged mountain trails. Under the influence of gait and slope, the joint angle of the robot changes drastically when landing, resulting in the robot drop down from the slope. This has strict requirements for gait planning and gait control of quadruped crawling robots.

Objective: The aim of this study is to set up a novel impedance controller based on gearshift integral PID to improve the stability of a quadruped crawling robot during climbing on a continuous slope.

Methods: The three-dimensional model of quadruped crawling robot was established. Considering the characteristics of slope terrain, a slope diagonal gait design is proposed, and a gearshift integral PID impedance controller is designed for this gait. The impedance controller based on position PID, integral separation PID and gearshift integral PID is simulated by MATLAB, and the peak value of foot force is compared under ADAMS.

Results: Overshoot and transient time of positional PID impedance controller was compared, integral separated PID impedance controller and gearshift integral PID impedance controller, the overshoot was reduced by 8.9% and the transient time was reduced by 20%. Finally, the position impedance controller that meets the requirements and import it into ADAMS to compare the peak foot force was selected, it reduced the foot-end contact force by 8.15%.The results show that the gearshift integral PID impedance control strategy is feasible.

Conclusion: The Impedance controller based on gearshift integral PID can provide a reference for other impedance control strategies of quadruped crawling robots.

[1]
A.A. Saputra, N. Takesue, K. Wada, A.J. Ijspeert, and N. Kubota, "AQuRo: A cat-like adaptive quadruped robot with novel bio-inspired capabilities", Front. Robot. AI, vol. 8, p. 562524, 2021.
[http://dx.doi.org/10.3389/frobt.2021.562524] [PMID: 33912592]
[2]
X. Li, W. Wang, S. Wu, P. Zhu, F. Zhao, and L. Wang, "The gait design and trajectory planning of a gecko-inspired climbing robot", Appl. Bionics Biomech., vol. 2018, pp. 1-13, 2018.
[http://dx.doi.org/10.1155/2018/2648502] [PMID: 29849755]
[3]
Y. Sun, Y. Yang, S. Ma, and H. Pu, "Design of a high-mobility multi-terrain robot based on eccentric paddle mechanism", Rob. Biomim., vol. 3, no. 1, p. 8, 2016.
[http://dx.doi.org/10.1186/s40638-016-0041-3] [PMID: 27358763]
[4]
P. Wang, R. Dong, T. Sun, and Q. Tang, "Gait design and analysis of quadruped crawling robot climbing over the raised terrain of slope", Recent Pat. Mech. Eng., vol. 15, no. 1, pp. 50-60, 2022.
[http://dx.doi.org/10.2174/2212797614666210413145741]
[5]
H. Kimura, Y. Fukuoka, and A.H. Cohen, "Biologically inspired adaptive walking of a quadruped robot", Philos. Trans. R. Soc. A: Math. Phys. Eng. Sci., vol. 365, pp. 153-170, 2006.
[http://dx.doi.org/10.1098/rsta.2006.1919]
[6]
P. Wang, C. Song, R. Dong, P. Zhang, S. Yu, and H. Zhang, "Research on obstacle avoidance gait planning of quadruped crawling robot based on slope terrain recognition", Ind. Rob., vol. 49, no. 5, pp. 1008-1021, 2022.
[http://dx.doi.org/10.1108/IR-11-2021-0273]
[7]
P. Wang, C. X. Song, X. Q. Li, Y. Zhang, P. Zhang, and P. Luo, "A quadruped robot compliant spine structure for hilly areas", CN Patent 2,018,106,484,82X, 2012.
[8]
R.S. Batth, A. Nayyar, and A. Nagpal, "Internet of robotic things: driving intelligent robotics of future-concept, architecture, applications and technologies", In 2018 4th International Conference on Computing Sciences (ICCS), 30-31 August 2018, Jalandhar, India, IEEE, 2018, p. 151-160
[http://dx.doi.org/10.1109/ICCS.2018.00033]
[9]
A. Nayyar, V. Puri, N.G. Nguyen, and D.N. Le, "Smart surveillance robot for real-time monitoring and control system in environment and industrial applications", In: Bhateja, V., Nguyen, B., Nguyen, N., Satapathy, S., Le, DN. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing,, vol. 672. Springer: Singapore, .
[http://dx.doi.org/10.1007/978-981-10-7512-4_23]
[10]
A. Nayyar, N.G. Nguyen, R. Kumari, and S. Kumar, Robot path planning using modified artificial bee colony algorithm. Frontiers in Intelligent Computing: Theory and Applications., Springer: Singapore, 2020, pp. 25-36.
[http://dx.doi.org/10.1007/978-981-13-9920-6_3]
[11]
F.L. Moro, A. Spröwitz, A. Tuleu, M. Vespignani, N.G. Tsagarakis, A.J. Ijspeert, and D.G. Caldwell, "Horse-like walking, trotting, and galloping derived from kinematic Motion Primitives (kMPs) and their application to walk/trot transitions in a compliant quadruped robot", Biol. Cybern., vol. 107, no. 3, pp. 309-320, 2013.
[http://dx.doi.org/10.1007/s00422-013-0551-9] [PMID: 23463501]
[12]
D. Owaki, and A. Ishiguro, "A quadruped robot exhibiting spontaneous gait transitions from walking to trotting to galloping", Sci. Rep., vol. 7, no. 1, p. 277, 2017.
[http://dx.doi.org/10.1038/s41598-017-00348-9] [PMID: 28325917]
[13]
J. Li, J. Wang, S.X. Yang, K. Zhou, and H. Tang, "Gait planning and stability control of a quadruped robot", Comput. Intell. Neurosci., vol. 2016, pp. 1-13, 2016.
[http://dx.doi.org/10.1155/2016/9853070] [PMID: 27143959]
[14]
Y. Xu, Z. Wang, W. Hao, W. Zhao, W. Lin, B. Jin, and N. Ding, "A flexible multimodal sole sensor for legged robot sensing complex ground information during locomotion", Sensors (Basel), vol. 21, no. 16, p. 5359, 2021.
[http://dx.doi.org/10.3390/s21165359] [PMID: 34450801]
[15]
W. Yan, Y. Pan, J. Che, J. Yu, and Z. Han, "Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies", PeerJ Comput. Sci., vol. 7, p. e821, 2021.
[http://dx.doi.org/10.7717/peerj-cs.821] [PMID: 35036536]
[16]
H. Zhu, D. Wang, N. Boyd, Z. Zhou, L. Ruan, A. Zhang, N. Ding, Y. Zhao, and J. Luo, "Terrain-perception-free quadrupedal spinning locomotion on versatile terrains: Modeling, analysis, and experimental validation", Front. Robot. AI, vol. 8, p. 724138, 2021.
[http://dx.doi.org/10.3389/frobt.2021.724138] [PMID: 34765648]
[17]
P. Wang, C.X. Song, S.P. Zhai, M.Q. Liu, J.H. Chen, and Y. Zhang, "A leg device and control for crawling robot suitable for slope pavement", CN Patent 2,019,103,311,749, 2019.
[18]
P. Wang, C.X. Song, S.P. Zhai, M.Q. Liu, J.H. Chen, and Y. Zhang, "Hip device and control of a crawling robot suitable for slope pavement", CN Patent 2,019,103,311,734, 2019.
[19]
Z. Sun, R. Xing, C. Zhao, and W. Huang, "Fuzzy auto-tuning PID control of multiple joint robot driven by ultrasonic motors", Ultrasonics, vol. 46, no. 4, pp. 303-312, 2007.
[http://dx.doi.org/10.1016/j.ultras.2007.04.001] [PMID: 17540429]
[20]
Y. Zaidel, A. Shalumov, A. Volinski, L. Supic, and E. Ezra Tsur, "Neuromorphic NEF-Based inverse kinematics and PID control", Front. Neurorobot., vol. 15, p. 631159, 2021.
[http://dx.doi.org/10.3389/fnbot.2021.631159] [PMID: 33613225]
[21]
B. Gao, Y. Ye, and G. Han, "Research on PID neural network decoupling control among joints of hydraulic quadruped robot", Recent Pat. Mech. Eng., vol. 12, no. 4, pp. 367-377, 2019.
[http://dx.doi.org/10.2174/2212797612666190819161320]
[22]
X. Zang, Y. Liu, X. Liu, and J. Zhao, "Design and control of a pneumatic musculoskeletal biped robot", Technol. Health Care.
vol. 24, no. s2, suppl. Suppl. 2, pp. S443-S454, 2016. [http://dx.doi.org/10.3233/THC-161167] [PMID: 27163303]
[23]
B. Gao, H. Guan, W. Tang, W. Han, and S. Xue, "Research on position recognition and control method of single-leg joint of hydraulic quadruped robot", Recent Adv. Electr. Electron. Eng., vol. 14, no. 8, pp. 802-811, 2021.
[http://dx.doi.org/10.2174/2352096514666211027150816]
[24]
Q. Hao, Z. Wang, J. Wang, and G. Chen, "Stability-guaranteed and high terrain adaptability static gait for quadruped robots", Sensors (Basel), vol. 20, no. 17, p. 4911, 2020.
[http://dx.doi.org/10.3390/s20174911] [PMID: 32878028]
[25]
M. Fallon, "Accurate and robust localization for walking robots fusing kinematics, inertial, vision and LIDAR", Interface Focus, vol. 8, no. 4, p. 20180015, 2018.
[http://dx.doi.org/10.1098/rsfs.2018.0015] [PMID: 29951194]
[26]
G. Klaus, K. Glette, and M. Høvin, "Evolving locomotion for a 12-DOF quadruped robot in simulated environments", Biosystems, vol. 112, no. 2, pp. 102-106, 2013.
[http://dx.doi.org/10.1016/j.biosystems.2013.03.008] [PMID: 23499813]
[27]
D. Owaki, T. Kano, K. Nagasawa, A. Tero, and A. Ishiguro, "Simple robot suggests physical interlimb communication is essential for quadruped walking", J. R. Soc. Interface, vol. 10, no. 78, p. 20120669, 2013.
[http://dx.doi.org/10.1098/rsif.2012.0669] [PMID: 23097501]
[28]
H. Sun, T. Fu, Y. Ling, and C. He, "Adaptive quadruped balance control for dynamic environments using maximum-entropy reinforcement learning", Sensors (Basel), vol. 21, no. 17, p. 5907, 2021.
[http://dx.doi.org/10.3390/s21175907] [PMID: 34502796]
[29]
C. Tiseo, S. Vijayakumar, and M. Mistry, "Analytic Model for Quadruped Locomotion Task-Space Planning", In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 23-27 July 2019, Berlin, Germany, IEEE, 2019, p. 5301-5304
[http://dx.doi.org/10.1109/EMBC.2019.8857345]
[30]
M.H. Raibert, "Trotting, pacing and bounding by a quadruped robot", J. Biomech..
vol. 23, no. 1, suppl. Suppl. 1, pp. 79-98, 1990. [http://dx.doi.org/10.1016/0021-9290(90)90043-3] [PMID: 2081747]
[31]
Z.H. Shen, P.L. Larson, and J.E. Seipel, "Rotary and radial forcing effects on center-of-mass locomotion dynamics", Bioinspir. Biomim., vol. 9, no. 3, p. 036020, 2014.
[http://dx.doi.org/10.1088/1748-3182/9/3/036020] [PMID: 25162748]
[32]
G. Xin, W. Wolfslag, H.C. Lin, C. Tiseo, and M. Mistry, "An optimization-based locomotion controller for quadruped robots leveraging cartesian impedance control", Front. Robot. AI, vol. 7, no. 48, p. 48, 2020.
[http://dx.doi.org/10.3389/frobt.2020.00048] [PMID: 33501216]
[33]
H. Tanaka, T.Y. Chen, and K. Hosoda, "Dynamic turning of a soft quadruped robot by changing phase difference", Front. Robot. AI, vol. 8, p. 629523, 2021.
[http://dx.doi.org/10.3389/frobt.2021.629523] [PMID: 33969002]
[34]
T. Miki, J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, "Learning robust perceptive locomotion for quadrupedal robots in the wild", Sci. Robot., vol. 7, no. 62, p. eabk2822, 2022.
[http://dx.doi.org/10.1126/scirobotics.abk2822] [PMID: 35044798]
[35]
S. Zhang, H. Zhang, and Y. Fu, "Leg locomotion adaption for quadruped robots with ground compliance estimation", Appl. Bionics Biomech., vol. 2020, pp. 1-15, 2020.
[http://dx.doi.org/10.1155/2020/8854411] [PMID: 33029197]
[36]
X. Liang, W. Wang, Z.G. Hou, S. Ren, J. Wang, and W. Shi, "Position based impedance control strategy for a lower limb rehabilitation robot", In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 23-27 July 2019, Berlin, Germany, IEEE, 2019, p. 437-441
[http://dx.doi.org/10.1109/EMBC.2019.8857186]
[37]
Z. Nasution, A.F. Ilham Suparman, G.A. Prasetyo, A.H. Alasiry, E.H. Binugroho, and A. Darmawan, "Body balancing control for EILERO quadruped robot while walking on slope", In 2019 International Electronics Symposium (IES), 27-28 September 2019, Surabaya, Indonesia, IEEE, 2019, pp. 364-369
[http://dx.doi.org/10.1109/ELECSYM.2019.8901598]
[38]
X-P. Meng, L. Kou, Q-D. Yuan, Y-Z. Pi, and W-D. Ke, "Motion control of robot based on a new integral separated PID", Int. J. Wireless Mobile Comput., vol. 28, pp. 207-213, 2016.
[http://dx.doi.org/10.1504/IJWMC.2016.081160]

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