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Robust Control for a Mixed Leg Mechanism Four-Legged Walking Robot

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Advances in Computer Science and Information Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 168))

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Abstract

This paper designs a mixed leg mechanism four legged robot with excellent mobility and performance. Robot’s virtual model is constructed and a control algorithm is proposed by applying virtual components at some strategic locations. For adjusting the planned control law continuously in response to the current movement of the feet of the robot, a control scheme has been presented to make the four-legged robot control systems robust to parametric and unstructured uncertainties.

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References

  1. Hirose, S., Fukuda, Y., Kikuchi, H.: The gait control system of a quadruped walking vehicle. Advanced Robotics 1(4), 289–323 (1986)

    Article  Google Scholar 

  2. Wong, D.P., Orin, D.E.: Control of a quadruped standing jump over irregular terrain obstacles. Autonomous Robots 1, 111–129 (1995)

    Article  Google Scholar 

  3. Jindrich, D.L., Full, R.J.: Many-legged maneuver-ability: Dynamics of turning in hexapods. The Journal of Experimental Biology 202, 1603–1623 (2005)

    Google Scholar 

  4. Miller, W.T.: Real-time application of neural networks for sensor-based control of robots with vision. IEEE Trans. System, Man, and Cybernetics, 825–831 (1989)

    Google Scholar 

  5. Ananthraman, S., Garg, D.P.: Training backpropagation and CMAC neural networks for control of a SCARA robot. Engng Applied Artif. Intell. 6(2), 105–115 (2003)

    Article  Google Scholar 

  6. Stepanenko, Y., Su, C.Y.: Varible structure control of robot manipulators with nonlinear sliding manifolds. Int. J. Control 58(2), 285–300 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  7. Fei, M., Chen, B.: Intelligent control method intercross synthesis and application. Control Theory and Applications 13(3), 273–281 (1996)

    Google Scholar 

  8. Wang, F.Y., Lever, P.L.A.: Rule generation and modification for intelligent control using fuzzy logic and neral networks, work report. The University of Arizona, Tucson (1995)

    Google Scholar 

  9. King, H., Litz, L.: Inconsistency detection-a powerful means for the design of MIMO fuzzy controllers. In: Int. Conf. Fuzzy Systems, pp. 1191–1197 (2006)

    Google Scholar 

  10. Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. System, Man, and Cybernetics 11(1), 116–132 (1985)

    Article  Google Scholar 

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Correspondence to ChuangFeng Huai .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Huai, C., Jia, X., Liu, P. (2012). Robust Control for a Mixed Leg Mechanism Four-Legged Walking Robot. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30126-1_12

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  • DOI: https://doi.org/10.1007/978-3-642-30126-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30125-4

  • Online ISBN: 978-3-642-30126-1

  • eBook Packages: EngineeringEngineering (R0)

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