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Analysis on Application of Fusion Function on Fuzzy Controller for Double Inverted Pendulum

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Communications and Information Processing

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 288))

Abstract

As a typically fast, multivariable and non-linear unsteady system, the inverted pendulum system has always been the focus of control theory and application, whose control methods and thoughts also have wide applications in the general industrial processes, so the study on the inverted pendulum system has important theoretical and practical application value. The fuzzy controller for double inverted pendulum based on fusion function will convert the fuzzy control for the multivariable system into fuzzy control for two-input variable system, which greatly reduces the number of fuzzy control rule, simplifies the design of fuzzy controller and effectively solves the multivariable problem. It is shown from MATLAB simulation test that the control effect is perfect.

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References

  1. Shi, X., Zhang, Z., et al.: Modeling and Application of a Double Inverted Pendulum. Journal of Hebei University of Technology 30(5), 48–51 (2001)

    Google Scholar 

  2. Wang, H.: Foundation of Modern Control Theory, pp. 138–145. National Defence Industry Press, Beijing (2004)

    Google Scholar 

  3. Xue, D., Chen, Y.: System Simulation Technology and Application Based on Matlab/Simulink, pp. 235–244. Tsinghua University Press, Beijing (2002)

    Google Scholar 

  4. Tang, B., Lu, L., et al.: Fuzzy Control Theory and Application Technology, pp. 285–302. Tsinghua University Press, Beijing (2002)

    Google Scholar 

  5. Li, S., Wang, J.: Intelligent Control, pp. 168–177. Mechanical Industry Press, Beijing (2005)

    Google Scholar 

  6. Li, T., Lin, X., et al.: Application of Fuzzy Control in the Control System for inverted pendulum. Modern Electronics Technique 136(5), 66–68 (2002)

    Google Scholar 

  7. Wu, X., Lin, Z., et al.: Design of MATLAB-aided fuzzy system, pp. 169–185. XiDian University Press, Xi’an (2002)

    Google Scholar 

  8. Huang, Z.: Computer Simulation of Control System MATLAB, pp. 246–255. National Defence Industry Press, Beijing (2004)

    Google Scholar 

  9. Wang, M.: Simulink Modeling and Dynamic Simulation, pp. 68–101. Publishing House of Electronics Industry, Beijing (2002)

    Google Scholar 

  10. Cao, C., Wan, N.: Intelligent Control, pp. 375–387. Tsinghua University Press, Beijing (2004)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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He, Ly. (2012). Analysis on Application of Fusion Function on Fuzzy Controller for Double Inverted Pendulum. In: Zhao, M., Sha, J. (eds) Communications and Information Processing. Communications in Computer and Information Science, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31965-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-31965-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31964-8

  • Online ISBN: 978-3-642-31965-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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