Equilibrium Control of Robot Arm Tip Mounted on a Transfer Coaxial Two-Wheel Robot

Toshiharu  Yasui; Minoru Sasaki; Kojiro  Matsushita; Joseph  Muguro; Waweru  Njeri; Titus Mulembo

doi:10.25077/jnte.v12n2.1106.2023

Toshiharu Yasui

Gifu University

Minoru Sasaki

Gifu University

Kojiro Matsushita

Gifu University

Joseph Muguro

Dedan Kimathi University of Technology

Waweru Njeri

Dedan Kimathi University of Technology

Titus Mulembo

Dedan Kimathi University of Technology

Keywords

Coaxial Two-wheel Robot, Equilibrium control, LQ, LQI Control

Abstract

Japan has continued to experience population decline which adversely affect working-age group (15-64 years). As a remedy to this social issue, advancements in robotics and human-machine cooperation is proposed to make up for the declining labor force. To this end, design of robots which can work in constrained (indoor) workspace is desirable. A coaxial two-wheeled robot with an appended robot arm aimed at transporting objects is proposed in this paper. The robot is designed with center of gravity below the axle to make it statically stable at rest. It is combined with a robot arm with two links, two degrees of freedom. The goal is to maintain equilibrium of the arm tip during motion with the robot-arm is inclined at 0-, 3-, and 120-degree. In this study, simulations to combine a stable coaxial two-wheel robot with the robot arm is performed to confirm the effectiveness of the designed LQ, and LQI controller. From the results, all the controllers are able to maintain the robot-arm tip at 0-degrees. For 120-degrees, LQI performs better than LQ controller in stabilizing the rotation speed of the wheels by 1.7 seconds. In the future, the proposed controller model will be incorporated in the actual robot to confirm the performance for object transportation.

References

“Decrease in working-age population,” Cabinet Office Japan, 2017. [Online]. Available: https://www5.cao.go.jp/keizai-shimon/kaigi/minutes/2017/0125/shiryo_04-2-3.pdf. [Accessed: 29-May-2020].

S. B. of Japan, “2015 Population Census,” 2015. [Online]. Available: http://www.stat.go.jp/english/data/kokusei/2015/final_en/pdf/s01.pdf. [Accessed: 28-May-2020].

Nippon.com, “Japan’s Population Falls for Ninth Straight Year,” nippon.com, Tokyo, 30-Apr-2020.

P. W. Laksono, M. Sasaki, K. Matsushita, M. S. A. Bin Suhaimi, and J. Muguro, “Preliminary research of surface electromyogram (sEMG) signal analysis for robotic arm control,” AIP Conf. Proc., vol. 2217, no. April, 2020, doi: 10.1063/5.0000542.

N. W. Minoru Sasaki, Eita Kunii, Tatsuya Uda, Kojiro Matsushita, Joseph K. Muguro, Muhammad Syaiful Amri bin Suhaimi, “Construction of an Environmental Map including Road Surface Classification Based on a Coaxial Two-Wheeled Robot,” J. Sustain. Res. Eng., vol. 5, no. 3, pp. 159–169, 2020.

N. Abdul Malik, H. Yussof, F. A. Hanapiah, and S. J. Anne, “Human Robot Interaction (HRI) between a humanoid robot and children with Cerebral Palsy: Experimental framework and measure of engagement,” in 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), 2014, pp. 430–435, doi: 10.1109/IECBES.2014.7047536.

N. Rudigkeit and M. Gebhard, “AMiCUS—a head motion-based interface for control of an assistive robot,” Sensors (Switzerland), vol. 19, no. 12, 2019, doi: 10.3390/s19122836.

M. Sasaki et al., “Robot control systems using bio-potential signals,” AIP Conf. Proc., vol. 2217, no. April, 2020, doi: 10.1063/5.0000624.

K. T. Kouho Sago, Yoshiyuki Noda, Kiyoaki Kakihara, “Vehicle Body Swing Suppression Control Considering Passenger’s Body in Low-CV Parallel Two-wheel Vehicle,” in Proceedings of the Japan Society of Mechanical Engineers Vol. 81, No. 824, 2015, p. 14.

S. Ito, S. Nishio, M. Ino, R. Morita, K. Matsushita, and M. Sasaki, “Design and adaptive balance control of a biped robot with fewer actuators for slope walking,” Mechatronics, vol. 49, pp. 56–66, 2018, doi: 10.1016/j.mechatronics.2017.11.007.

L. C. GAO Xue-shan, DAI Fu-quan, “Two types of coaxial self-balancing robots,” J. Cent. South Univ., vol. 20, p. 2981−2990, 2013, doi: 10.1007/s11771-013-1822-2.

K. M. Goher, “A two-wheeled machine with a handling mechanism in two different directions,” Robot. Biomimetics, vol. 3, no. 1, 2016, doi: 10.1186/s40638-016-0049-8.

J. H. Park and B. K. Cho, “Development of a self-balancing robot with a control moment gyroscope,” Int. J. Adv. Robot. Syst., vol. 15, no. 2, pp. 1–11, 2018, doi: 10.1177/1729881418770865.

M. Khaled, A. Mohammed, M. S. Ibraheem, and R. Ali, “Balancing a Two Wheeled Robot,” 2009.

Z. Kausar, K. Stol, and N. Patel, Nonlinear control design using Lyapunov function for two-wheeled mobile robots. 2012.

M. Sasaki et al., “Robust posture tracking control of stable coaxial two-wheeled AGV using the approximate inverse system and LMI,” J. Appl. Sci. Eng. Technol. Dev., pp. 24–42, 2020, doi: 10.33803/jasetd.2020.4-1.3.

M. Deng, A. Inoue, K. Sekiguchi, and L. Jiang, “Two-wheeled mobile robot motion control in dynamic environments,” Robot. Comput. Integr. Manuf., vol. 26, no. 3, pp. 268–272, 2010, doi: 10.1016/j.rcim.2009.11.005.

F. Dai, X. Gao, S. Jiang, W. Guo, and Y. Liu, “A two-wheeled inverted pendulum robot with friction compensation,” Mechatronics, vol. 30, pp. 116–125, 2015, doi: 10.1016/j.mechatronics.2015.06.011.

X. Huang, F. Wen, and Z. Wei, “Optimization of triple inverted pendulum control process based on motion vision,” Eurasip J. Image Video Process., vol. 2018, no. 1, 2018, doi: 10.1186/s13640-018-0294-6.

D. Morin, “The Lagrangian Method,” in Computer Simulation of Shaped Charge Problems, 2006, pp. 5–30.

Y. Mori, Easy-to-understand modern control theory [Japanese version]. Tokyo, Japan: Morikita Publishing Co. Ltd, 2013.

S. O. H. Madgwick, “An efficient orientation filter for inertial and inertial/magnetic sensor arrays,” 2010.

A. Al-Fahoum and M. Abadir, “Design of a Modified Madgwick Filter for Quaternion-Based Orientation Estimation Using AHRS,” Int. J. Comput. Electr. Eng., vol. 10, pp. 174–186, Oct. 2018, doi: 10.17706/IJCEE.2018.10.3.174-186.

M. Hasan and M. H. Rahman, “Smart Phone Based Sensor Fusion by Using Madgwick Filter for 3D Indoor Navigation,” Wirel. Pers. Commun., Apr. 2020, doi: 10.1007/s11277-020-07338-7.

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Published

Jul 31, 2023

https://doi.org/10.25077/jnte.v12n2.1106.2023

How to Cite

Yasui, T. ., Sasaki, M., Matsushita, K. ., Muguro, J. ., Njeri, W. ., & Mulembo, T. (2023). Equilibrium Control of Robot Arm Tip Mounted on a Transfer Coaxial Two-Wheel Robot. Jurnal Nasional Teknik Elektro, 12(2). https://doi.org/10.25077/jnte.v12n2.1106.2023

Issue

Vol 12, No 2: July 2023

Section

Control

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