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Algorithm of Ground Stability Correction for High Difficulty Movements of Competitive

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1233))

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Abstract

The stability correction analysis model of high difficulty movement in competitive Wushu after landing is studied, and the dynamic parameters such as rigid body mechanical driving moment of landing limb of high difficulty movement of competitive martial arts is solved. A stability correction analysis model based on rigid body dynamics adaptive control for competitive martial arts after landing is proposed. The mathematical model of knee movement of lower extremity after landing of high difficulty movement of competitive martial arts was constructed, and the driving force model and movement trajectory control equation after landing of martial arts movement were constructed. The 7-bar driving structure is used to decompose the lower limbs of human competitive martial arts after falling to the ground, and the 3-dimensional orthogonal carrier coordinate system of rigid body is defined. The Lagrange dynamic equation is used to realize the global analysis of the landing impact parameters of the high difficulty movements of competitive martial arts. According to the continuous control method of joint value, the stability correction is realized by using the proportional and integral trajectory correction control method. The simulation results show that the stability correction model has better control performance, higher calculation accuracy and better correction performance for landing position.

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References

  1. Yin, W., Sun, L., Wang, M., Liu, J.: Amplitude-saturated nonlinear state feedback position control for flexible joint robots. Robot 39(4), 458–465 (2017)

    Google Scholar 

  2. Yu, Ma., Cai, Y.: Scheduled offline model predictive control based on multiple LPV models. Control. Decis. 31(08), 1468–1474 (2016)

    MATH  Google Scholar 

  3. Wan, Z., Kothare, M.V.: Efficient scheduled stabilizing output feedback model predictive control for constrained nonlinear systems. IEEE Trans Autom. Control. 49(7), 1172–1177 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  4. Li, K.Y.: PID tuning for optimal closed-loop performance with specified gain and phase margins. IEEE Trans. Control Syst. Technol. 21(3), 1024–1030 (2013)

    Article  Google Scholar 

  5. Shi, R., Zhang, X., Yao, Y.: A CPG-based control method for the multi-mode locomotion of a desert spider robot. Robot 40(2), 146–157 (2018)

    Google Scholar 

  6. Chiranjeeevi, T., Vijetha, I.V.V., Chakravarthi, B., et al.: Tuning and control of multi-variable systems. Int. J. Electron. Electr. Eng. 2(4), 309–320 (2014)

    Article  Google Scholar 

  7. Uijlings, J.R.R., Van de Sande, K.E.A., Gevers, T., et al.: Selective search for object recognition. Int. J. Comput. Vision 104(2), 154–171 (2013)

    Article  Google Scholar 

  8. Liu, C., Yan, X., Liu, C., et al.: Dynamic path planning for mobile robot based on improved ant colony optimization algorithm. Acta Electron. Sin. 39(5), 1220–1224 (2011)

    Google Scholar 

  9. Liu, J.C., Chen, N., Yu, X.: Modified two-degrees-of-freedom internal model control for non-square systems with multiple time delays. J. Harbin Inst. Technol. 21(2), 122–128 (2014)

    Google Scholar 

  10. Jing, Q.B., Hao, F., Wang, Q.: A multivariable IMC-PID method for non-square large time delay systems using NPSO algorithm. J. Process Control 23(5), 649–663 (2014)

    Google Scholar 

  11. Zhang, X.L., Gu, X.X., Zhao, H.F., et al.: Design of a compliant robotic arm based on series elastic actuator. Robot 38(4), 385–394 (2016)

    Article  Google Scholar 

  12. Koivumaki, J., Mattila, J.: Stability-guaranteed impedance control of hydraulic robotic manipulators. IEEE/ASME Trans. Mechatron. 22(2), 601–612 (2017)

    Article  Google Scholar 

  13. Koivumaki, J., Mattila, J.: Stability-guaranteed force-sensorless contact force/motion control of heavy-duty hydraulic manipulators. IEEE Trans. Rob. 31(4), 918–935 (2015)

    Article  Google Scholar 

  14. Chen, G.R., Wang, J.Z., Wang, S.K., et al.: Separate meter in and separate meter out energy saving control system using dual servo valves under complex load conditions. Trans. Beijing Inst. Technol. 36(10), 1053–1058 (2016)

    Google Scholar 

  15. Li, H., Hu, Z., Chen, X.: PLP-SLAM: a visual SLAM method based on point-line-plane feature fusion. Robot 39(2), 214–220 (2017)

    Google Scholar 

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Acknowledgement

Guangxi Higher Education Teaching Reform Project in the New Century (No. 2014JGB240); Subject of School-level Teaching Reform in Hezhou University (No. hzxyjg201549).

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Correspondence to Mingming Gong .

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Gong, M. (2021). Algorithm of Ground Stability Correction for High Difficulty Movements of Competitive. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_86

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