Skip to main content

Dynamic Analysis and Control of the MJR Robot Palletizer

  • Conference paper
Intelligent Robotics and Applications (ICIRA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5315))

Included in the following conference series:

Abstract

The MJR120 palletizer is researched and manufactured by the paper. Using the Second Lagrangian kinetics, the author analyses the dynamical features of the robot, derives the generated driving torque of the arms, and sets up its inverse dynamical equations. To improve its performance of the system, a new controller is designed with a self-adaptive fuzzy PID control algorithm, which makes use of the merits both of the fuzzy control and the self-adaptive control algorithm. The effectiveness of the proposed control method is verified by simulation based on Matlab. The controller has better performance and robustness than the conventional PID controller in the Palletizer system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hu, H.G., Gao, J.H., Yang, R.Q.: The development of palletizing technology. Modular Machine Tool & Automatic Manufacturing Technique 6, 54–59 (2000)

    Google Scholar 

  2. Zhu, Z.X., Zhou, Q.H., Yin, J.S.: Theoretical Mechanics, pp. 315–325. Beijing University Press (1997)

    Google Scholar 

  3. Fei, X.: Advanced Dynamics, pp. 27–42. Zhejiang University Press (1993)

    Google Scholar 

  4. Fei, R.Y., Zhang, H.H.: Mechabical design and analysis of robots, pp. 123–128. Beijing Industry University Press (1998)

    Google Scholar 

  5. Tang, X.Y., Li, W.: Effect of parallel four-bar mechanism on spotwelding robot. Journal of China Agricultural University 8(4), 36–40 (2003)

    Google Scholar 

  6. Ma, X.F.: Robot Mechanisms, pp. 233–239. Medical Industry Press (1991)

    Google Scholar 

  7. Spong, M.W., Vidyasagar, M.: Robot Dynamics and control, United States of America, pp. 234–245 (1989)

    Google Scholar 

  8. Terano, T., Asai, K., Sugeno, M.: Applied Fuzzy Systems. AP Professional 1994, p. 302 (1994)

    Google Scholar 

  9. Tanaka, K., Sugeno, M.: Stability Analysis and Design of Fuzzy Control Systems. Fuzzy Sets and Systems 45(2), 135–156 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  10. Adachi, G., Horikawa, S., Furuhashi, T., Uchikawa, Y.: A New Linguistic Design Method of Fuzzy Controller Using a Description of Dynamical Behavior of Fuzzy Control Systems. In: Proceedings of ACC 1995, pp. 2282–2286 (1995)

    Google Scholar 

  11. Tao, Y.H., Yin, Y.X., Ge, L.S.: The control and application of late-model PID, pp. 211–219. China Machine Press, Beijing (1999)

    Google Scholar 

  12. Buja, G.S., Todesco, F.: Neural network implementation of fuzzy logic controller. IEEE Trans. Ind. Rlectron. 41, 663–667 (1994)

    Article  Google Scholar 

  13. Zhang, J.H.: Study and compare for PID control system and fuzzy self-adaptive PID control system. Journal of Wuhan University of Technology 27, 286–290 (2005)

    Google Scholar 

  14. Liu, J.K.: Advanced PID control and Matlab simulink, pp. 125–190. Publishing House of Electronics Industry, Beijing (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ning, F., Yun, C., Chen, X. (2008). Dynamic Analysis and Control of the MJR Robot Palletizer. In: Xiong, C., Liu, H., Huang, Y., Xiong, Y. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88518-4_77

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-88518-4_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88516-0

  • Online ISBN: 978-3-540-88518-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics