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Position-Based Robust Locomotion Control of Hexapod Robot

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Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 66))

Abstract

Position-based locomotion control is a very popular technique in walking robot research. However, the actuation system of the robot may pose various challenges for smooth and stable locomotion of the walking robot. This chapter presents few nonlinear robust control techniques for the position-based locomotion control of a hydraulically actuated hexapod walking robot COMET-III. This chapter starts with a general description of position control-based locomotion control of walking robot. Then the various nonlinearities of the hydraulic actuation system have been described in brief. Finally, two sliding model-based locomotion control techniques and a robust adaptive fuzzy control-based locomotion control technique of COMET-III in the position control-based framework have been presented with real-time experimental results.

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References

  1. Spong MW, Vidyasagar M (1989) Robot dynamics and control. Wiley, Singapore

    Google Scholar 

  2. Nonami K, Huang Q, Komizo D, Fukao Y, Asai Y, Shiraishi Y, Fujimoto M, Ikedo Y (2003) Development and control of mine detection robot COMET-II and COMET-III. JSME Int J Series C 45(3):881–890

    Article  Google Scholar 

  3. Sugai H, Nonami K (2005) Reference model following sliding mode control for hydraulic mine detection hexapod robot. Trans JSME C72(721):2829–2837 (in Japanese)

    Google Scholar 

  4. Nonami K, Ikedo Y (2004) Walking control of COMET-III using discrete time preview sliding mode control. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems, Sendai, pp 3219–3225

    Google Scholar 

  5. Barai RK, Nonami K (2007) Locomotion control of a hydraulically actuated hexapod robot by robust adaptive fuzzy control and dead zone compensation. Robotica 25(3):259–281

    Article  Google Scholar 

  6. Slotine J, Li W (1991) Applied nonlinear control. Prentice Hall, Englewood Cliffs

    MATH  Google Scholar 

  7. Sage HG, Mathelin MFD, Ostertag E (1999) Robust control of robot manipulators: a survey. Int J Control 72(15):1498–1522

    Article  MATH  Google Scholar 

  8. Song SM, Waldron KJ (1989) The machine that walk: the adaptive suspension vehicle. MIT, Cambridge

    Google Scholar 

  9. Nonami K, Tian T (1994) Sliding mode control. Corona Publishing Co Ltd, Tokyo (in Japanese)

    Google Scholar 

  10. Utkin VI, Guldner J, Shi J (1999) Sliding mode control in electromechanical systems. Taylor & Francis, Abington

    Google Scholar 

  11. Tsuchiya T, Egami T (1992) Digital preview control, Industrial Library. Sangyo-Tosyo, Tokyo

    Google Scholar 

  12. Sato T, Tsuchiya T, Egami T (2001) Digital preview sliding mode servo system and its characteristics. J Inst of Syst Control Info 14(12):582–592

    Google Scholar 

  13. Wang LX, Mendel JM (1992) Fuzzy basis functions, universal approximation, and orthogonal least-square learning. IEEE Trans Neural Netw 3(5):807–814

    Article  Google Scholar 

  14. Park JH, Seo SJ, Park GT (2003) Robust adaptive fuzzy controller for nonlinear system using estimation of bounds for approximation errors. Fuzzy Sets Syst 133(1):19–35

    Article  MATH  MathSciNet  Google Scholar 

  15. Wang LX (1993) Stable adaptive fuzzy control of nonlinear systems. IEEE Trans Fuzzy Syst 1(2):145–155

    Article  Google Scholar 

  16. Corbet T, Sepehri N, Lawrence PD (1995) Fuzzy control of a class of hydraulically actuated industrial robots. IEEE Trans Control Syst Technol 4(4):419–425

    Article  Google Scholar 

  17. Mudi RK, Pal NR (2000) A self-tuning fuzzy pi-controller. Fuzzy Sets Syst 115(2):327–338

    Article  MATH  Google Scholar 

  18. Wang XS, Su SY, Hong H (2001) Robust adaptive control of a class of nonlinear systems with unknown dead-zone. In: Proceedings of the 40th IEEE conference on decision and control, pp 15.27–15.32

    Google Scholar 

  19. Ioannou PA, Sung J (1995) Robust adaptive control. PTR Prentice Hall, Upper Saddle River

    Google Scholar 

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Nonami, K., Barai, R.K., Irawan, A., Daud, M.R. (2014). Position-Based Robust Locomotion Control of Hexapod Robot. In: Hydraulically Actuated Hexapod Robots. Intelligent Systems, Control and Automation: Science and Engineering, vol 66. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54349-7_5

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  • DOI: https://doi.org/10.1007/978-4-431-54349-7_5

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  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-54348-0

  • Online ISBN: 978-4-431-54349-7

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