Skip to main content

Intelligent Motion Control for Four-Wheeled Omnidirectional Mobile Robots Using Ant Colony Optimization

  • Conference paper
Next Wave in Robotics (FIRA 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 212))

Included in the following conference series:

Abstract

This paper presents an intelligent motion controller for four-wheeled omnidirectional mobile robots with four independent driving wheels equally spaced at 90 degrees from one another by using ant colony optimization (ACO). The optimal parameters of motion controller are obtained by minimizing the performance index using the metaheuristic ACO algorithm. These optimal parameters are used in the ACO motion controller to obtain better performance for four-wheeled omnidirectional mobile robots to achieve both trajectory tracking and stabilization. Simulation results are conducted to show the effectiveness and merit of the proposed ACO-based intelligent motion controller for four-wheeled omnidirectional mobile robots.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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. Kalmár-Nagy, T., D’Andrea, R., Ganguly, P.: Near-optimal dynamic trajectory generation and control of an omnidirectional vehicle. Robotics and Autonomous Systems 46(1), 47–64 (2004)

    Article  Google Scholar 

  2. Chwa, D.K.: Sliding mode tracking control of nonholonomic wheeled mobile ro-bots in polar coordinates. IEEE Transactions on Control Systems Technology 12(4), 637–644 (2004)

    Article  MathSciNet  Google Scholar 

  3. Huang, H.C., Tsai, C.C.: FPGA implementation of an embedded robust adaptive controller for autonomous omnidirectional mobile platform. IEEE Transactions on Industrial Electronics 56(5), 1604–1616 (2009)

    Article  Google Scholar 

  4. Jiang, Z.P., Nijmeijer, H.: A recursive technique for tracking control of non-holonomic systems in chained form. IEEE Transactions on Automatic Control 44(2), 265–279 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  5. Lee, T.C., Song, K.T., Lee, C.H., Teng, C.C.: Tracking control of unicycle-modeled mobile robots using a saturation feedback controller. IEEE Transac-tions on Control Systems Technology 9(2), 305–318 (2001)

    Article  Google Scholar 

  6. Li, T.H., Chang, S.J., Chen, Y.X.: Implementation of human-like driving skills by autonomous fuzzy behavior control on an FPGA-based car-like mobile robot. IEEE Transactions on Industrial Electronics 50(5), 867–880 (2003)

    Article  Google Scholar 

  7. Pin, F.G., Killough, S.M.: A new family of omnidirectional and holonomic wheeled platforms for mobile robots. IEEE Transactions on Robotics and Automation 10(4), 480–489 (1994)

    Article  Google Scholar 

  8. Byun, K.S., Kim, S.J., Song, J.B.: Design of a four-wheeled omnidirectional mo-bile robot with variable wheel arrangement mechanism. In: Proceeding of the 2002 IEEE International Conference on Robotics and Automation, pp. 720–725 (2002)

    Google Scholar 

  9. Purwin, O., D’Andrea, R.: Trajectory generation for four wheeled omnidirectional vehicles. In: Proceeding of 2005 American Control Conference, Portland, pp. 4979–4984 (2005)

    Google Scholar 

  10. Shing, C.C., Hsu, P.L., Yeh, S.S.: T-S fuzzy path controller design for the omnidi-rectional mobile robot. In: 32nd Annual Conference on IEEE Industrial Electronics, IECON 2006, Taiwan, pp. 4142–4147 (2006)

    Google Scholar 

  11. Li, T.H., Chen, C.Y., Hung, H.L., Yeh, Y.C.: A fully fuzzy trajectory tracking control design for surveillance and security Robots. In: Proceeding of 2008 IEEE In-ternational Conference on Systems, Man and Cybernetics (2008)

    Google Scholar 

  12. Tsai, C.C., Wang, T.Y., Wang, Z.C., Wu, Z.R.: Dynamic motion controller design for a four-wheeled omnidirectional mobile robot. In: Proceeding of the International Conference on Automation Technology (2009 Automation) (2009)

    Google Scholar 

  13. Manikas, T., Ashenayi, W.K., Wainwright, R.L.: Genetic algorithms for autono-mous robot navigation. IEEE Instrumentation & Measurement Magazine 10(6), 26–31 (2007)

    Article  Google Scholar 

  14. Tang, K.S., Kim, F.M., Guanrong, C., Kwong, S.: An optimal fuzzy PID controller. IEEE Transactions on Industrial Electronics 48(4), 757–765 (2001)

    Article  Google Scholar 

  15. Kan, J., Li, W., Liu, J.: Fuzzy immune self-tuning PID controller and its simulation. In: IEEE Conference on Industrial Electronics and Applications, pp. 625–628 (2008)

    Google Scholar 

  16. Jung, I.K., Hong, K.B., Hong, S.K., Hong, S.C.: Path planning of mobile robot using neural network. In: Proceedings of the IEEE International Symposium on Industrial Electronics, vol. 3, pp. 979–983 (1999)

    Google Scholar 

  17. Dorigo, M., Maniezzo, V., Colorni, A.: The ant system: optimization by a colony of cooperating agents. IEEE Transaction on Systems, Man, and Cybernetics-Part B 1, 1–13 (1996)

    Article  Google Scholar 

  18. Sim, K.M., Sun, W.H.: Ant colony optimization for routing and load-balancing: survey and new directions. IEEE Transaction on Systems, Man, and Cybernetics-Part A 33(5), 560–572 (2003)

    Article  Google Scholar 

  19. Watanabe, I., Matsui, S.: Improving the performance of ACO algorithms by adap-tive control of candidate set. In: Proceeding of the 2003 IEEE Evolutionary Computation, vol. 2, pp. 1355–1362 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Huang, HC. (2011). Intelligent Motion Control for Four-Wheeled Omnidirectional Mobile Robots Using Ant Colony Optimization. In: Li, TH.S., et al. Next Wave in Robotics. FIRA 2011. Communications in Computer and Information Science, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23147-6_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23147-6_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23146-9

  • Online ISBN: 978-3-642-23147-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics