Skip to main content

Trajectory Tracking Pid-Sliding Mode Control for Two-Wheeled Self-Balancing Robot

  • Conference paper
  • First Online:
Intelligent Computing in Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1125))

  • 834 Accesses

Abstract

Two-wheeled self-balancing cart is a robot model which is popular in control engineering. This is a classical MIMO under-actuated system. Balancing control problem is examined in many types of research. However, trajectory tracking problem for this model is new and it is an open research direction. In this paper, authors propose a method of PID-sliding mode control for balancing and number-8 trajectory tracking for this model. This method is proved to work well in both simulation and experiment.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Hirai M, Tomizawa T, Muramatsu S, Sato M (2012) Development of an intelligent mobility scooter. In: IEEE ICMA conference international scientific advisory board, pp 46–52. https://doi.org/10.1109/icma.2012.6282345

  2. Tu TA (2014) Design and test on two-wheeled self-balancing cart. Master Thesis of Mechatronics, Ho Chi Minh City University of Technology (HUTECH), Vietnam

    Google Scholar 

  3. Vu HA (2010) Control two-wheeled self-balancing robot by PID-auto tuning. Master Thesis of Control Automation, Ho Chi Minh City University of Technology (HCMUT), Vietnam

    Google Scholar 

  4. Juang H-S, Lum K-Y (2013) Design and control of a two-wheel self-balancing robot using the arduino microcontroller board. In: 10th IEEE international conference on control and automation (ICCA), pp 634–639. https://doi.org/10.1109/icca.2013.6565146

  5. Thao NGM, Nghia DH, Phuc NH (2010) A PID backstepping controller for two-wheeled self-balancing robot. In: IFOST proceeding, pp 1–6. https://doi.org/10.1109/ifost.2010.5668001

  6. Tsai C-C, Ju SY, Hsieh SM (2010) Trajectory tracking of a self-balancing two-wheel robot using backstepping sliding-mode control and fuzzy basis function networks. In: IEEE/RSJ international conference on intelligent robots and systems, pp 3943–3948. https://doi.org/10.1109/iros.2010.5652351

  7. Hong J-R (2003) Balance control of a car-pole inverted pendulum. Master Thesis of National Cheng Kung University, Taiwan

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anh Khoa Vo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vo, A.K., Nguyen, H.T., Nguyen, V.D.H., Nguyen, M.T., Le, T.T.H. (2020). Trajectory Tracking Pid-Sliding Mode Control for Two-Wheeled Self-Balancing Robot. In: Solanki, V., Hoang, M., Lu, Z., Pattnaik, P. (eds) Intelligent Computing in Engineering. Advances in Intelligent Systems and Computing, vol 1125. Springer, Singapore. https://doi.org/10.1007/978-981-15-2780-7_94

Download citation

Publish with us

Policies and ethics