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Adaptive Attitude Controller for a Six Wheel-Legged Robot Based on Impedance Control

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Intelligent Robotics and Applications (ICIRA 2023)

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Abstract

To remain the attitude of the robot during moving, an adaptive controller is proposed for a wheeled-legged robot on an irregular terrain. Our contributions are as follows: we develop a six-wheeled legged robot based on PRR structure and an adaptive attitude controller. The controller is comprised of three modules: which are adaptive impedance controller module, attitude controller module and centroid height controller module. When moving in wheeled mode, attitude adjustment primarily relies on elongation of each leg, it is crucial to avoid any suspended legs. An adaptive impedance control (AIC) is employed to track the leg force, adapt to terrain changes-induced disturbances, and compensate for terrain uncertainty by self-adaptively adjusting target damping. The comparative simulations were conducted to verify the effectiveness and robustness of the proposed adaptive controller in maintaining the robot’s attitude stability across various motion modes. AIC could track the desired force within 0.3 s and the force error is less than 20 N. The robotic attitude angles are maintained within a range of ±0.5° and the centroid height error fluctuates within −2 mm to + 5 mm.

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References

  1. Bledt, G., Powell, M.J., Katz, B., Di Carlo, J., Wensing, P.M., Kim, S.: MIT Cheetah 3: design and control of a robust, dynamic quadruped robot. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, pp. 2245–2252 (2018)

    Google Scholar 

  2. Kun, X., Yi, Z., Xilun, D.: Structure design and motion mode analysis of a six wheel-legged robot. J. Beijing Univ. Aeronaut. Astronaut. 42(1), 59–71 (2016)

    Google Scholar 

  3. Xilun, D., Kejia, L., Kun, X.: Dynamics and wheel’s slip ratio of a wheel-legged robot in wheeled motion considering the change of height. Chin. J. Mech. Eng. 25(5), 1060–1067 (2012)

    Article  Google Scholar 

  4. Smith, J.A., Sharf, I., Trentini, M.: PAW: a hybrid wheeled-leg robot. In: Proceedings 2006 IEEE International Conference on Robotics and Automation (ICRA 2006), Orlando, FL, USA, pp. 4043–4048 (2006)

    Google Scholar 

  5. Bjelonic, M.: Keep rollin’—whole-body motion control and planning for wheeled quadrupedal robots. IEEE Rob. Autom. Lett. 4(2), 2116–2123 (2019)

    Google Scholar 

  6. Schwarz, M., Rodehutskors, T., Schreiber, M., Behnke, S.: Hybrid driving-stepping locomotion with the wheeled-legged robot Momaro. In: 2016 IEEE International Con-ference on Robotics and Automation (ICRA 2016), Stockholm, Sweden, 2016, pp. 5589–5595 (2016)

    Google Scholar 

  7. Liu, D.C., Wang, J.Z., Wang, S.K., Shen, W., Peng, H.: An electric wheel-legged robot based on parallel 6-DOF structure. Chin. J. Rob. 40, 01–02 (2018)

    Google Scholar 

  8. Grand, C., Benamar, F., Plumet, F., Bidaud, P.: Stability and traction optimization of a reconfigurable wheel-legged robot. Int. J. Robot. Res. 23(10–11), 1041–1058 (2004)

    Article  Google Scholar 

  9. Cui, L., Wang, S., Zhang, J., Zhang, D., et al.: Learning-based balance control of wheel-legged robots. IEEE Robot. Automat. Lett. 6(4), 7667–7674 (2021)

    Article  Google Scholar 

  10. Hogan, N.: Impedance control - an approach to manipulation. I - theory. II - implementa-tion. III - applications. J. Dyn. Syst. Measure. Control 107, 1–24 (1985)

    Google Scholar 

  11. Raibert, M., Craig, J.J.: Hybrid position/force control of manipulators. ASME J. Dynamic Syst. Meas. Control 102, 126–133 (1981)

    Article  Google Scholar 

  12. Anderson, R., Spong, M.W.: Hybrid impedance control of robotic manipulators. IEEE J. Robot. Autom., 1073–1080 (1987)

    Google Scholar 

  13. Irawan, A., Nonami, K., Ohroku, H., Akutsu, Y., Imamura, S.: Adaptive impedance control with compliant body balance for hydraulically driven hexapod robot. J. Syst. Des. Dyn. 5(5), 893–908 (2011)

    Google Scholar 

  14. Seul Jung, T.C.H., Bonitz, R.G.: Force tracking impedance control of robot manipulators under unknown environment. IEEE Trans Control Syst Technol 12(3), 474–483 (2004)

    Google Scholar 

  15. Duan, J., Gan, Y., Chen, M.: Adaptive variable impedance control for dynamic contact force tracking in uncertain environment. Robot. Auton. Syst. 102, 54–65 (2018)

    Article  Google Scholar 

  16. Xu, K., et al.: Adaptive impedance control with variable target stiffness for wheel-legged robot on complex unknown terrain. Mechatronics 69(7), 102388 (2020)

    Article  Google Scholar 

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Acknowledgments

The supports of National Natural Science Foundation of China (No. 52004034) in carrying out this research are gratefully acknowledged.

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Correspondence to Yanzheng Zhao .

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Zhi, H., Zhang, L., Liu, J., Jing, J., Zhao, Y. (2023). Adaptive Attitude Controller for a Six Wheel-Legged Robot Based on Impedance Control. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14274. Springer, Singapore. https://doi.org/10.1007/978-981-99-6501-4_18

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  • DOI: https://doi.org/10.1007/978-981-99-6501-4_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6500-7

  • Online ISBN: 978-981-99-6501-4

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