[go: up one dir, main page]

Skip to main content

Design of a Trajectory-Tracking Controller for OMRs Based on Minimizing Tire Wear

  • Conference paper
  • First Online:
Intelligent Robotics and Applications (ICIRA 2024)

Abstract

Omnidirectional mobile robots (OMRs), which have full mobility on a plane, have been widely used in various applications, such as warehousing and logistics. However, the high tire wear and power consumption of the OMRs have become to difficulties needed to be solved urgently. In this paper, to address the issues of interest, a novel trajectory-tracking algorithm for OMRs with Mecanum wheels is proposed. A controller is then designed in light of the model-prediction control algorithm. A joint simulation is conducted by using the V-rep and MATLAB for verification. It turns out that the algorithm presented effectively reduce the tire wear and power consumption. This study is expected to lay a foundation for the further popularization and application of OMRs.

Supported by the National Natural Science Foundation of China (52205040, 62227814) and Young Talent Fund of Xi'an Association for Science and Technology (959202313096). Chuanyang Li gratefully acknowledges the support of the Three Qin Talents" program.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
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. Zhou, Z., Liu, X.: Research on automobile tire wear mechanism and mathematical model. J. Northeast Forestry Univ. 20(2), 55–60 (1992)

    MATH  Google Scholar 

  2. Das, R.K., et al.: Effect of tire inflation pressure and wheel front toe angle on fuel consumption of a light-duty vehicle. Int. J. Automot. Technol. 24(5), 1459–1473 (2023)

    Article  MATH  Google Scholar 

  3. Meena, K.K., et al.: 3D-printed stretchable hybrid piezoelectric-triboelectric nanogenerator for smart tire: onboard real-time tread wear monitoring system. Nano Energy 115 (2023)

    Google Scholar 

  4. Chen, X., Xu, N., Guo, K.H.: Tire wear estimation based on nonlinear lateral dynamic of multi-axle steering vehicle. Int. J. Automotive Technol. 19(1) (2018)

    Google Scholar 

  5. Shojaei, K., Shahri, M.A., Tarakameh, A., et al.: Adaptive trajectory tracking control of a differential drive wheeled mobile robot. Robotica 29(3), 391–402 (2011)

    Google Scholar 

  6. Lu, X., Zhang, X., Zhang, G., et al.: Neural network adaptive sliding mode control for omnidirectional vehicle with uncertainties. ISA Trans. 86201–8214 (2018)

    Google Scholar 

  7. Che, H.: Research on trajectory tracking of omnidirectional mobile robots based on dual loop sliding mode control. High Tech Commun. 32(07), 756–762 (2022)

    MATH  Google Scholar 

  8. Shui, Y., Yang, Y., Xiang, G., et al.: OMR trajectory tracking predictive control based on ESO. Comput. Simul. 39(08), 415–419 (2022)

    MATH  Google Scholar 

  9. Huang, X., Sun, Y., Li, J., et al.: Trajectory tracking control of McNamm wheel mobile platform based on MPC. Mech. Transmission 47(11), 22–29 (2023)

    MATH  Google Scholar 

  10. Mohammad, R., Navid, M., Saeid, N.: Effective adoption of vehicle models for autonomous vehicle path tracking: a switched MPC approach. Vehicle Syst. Dyn. 61(5), 1236–1259 (2023)

    Google Scholar 

  11. Du, R., Hu, H., Gao, K., et al.: Research on trajectory tracking control of autonomous vehicle based on variable predictive time domain MPC. J. Mech. Eng. 58(24), 275–288 (2022)

    Google Scholar 

  12. Wang, Y., Zheng, Y., Yang, J., et al.: Robust compensation trajectory tracking control for omnidirectional mobile robots based on energy conservation considerations. Control Decision Making 37(11), 3065–3072 (2022)

    MATH  Google Scholar 

  13. Zheng, Z.D.: Optimal energy consumption trajectory planning for mobile robot based on motion control and frequency domain analysis. Acta Automatica Sinica 46(5), 934–945 (2020)

    Google Scholar 

  14. Hongwen, H., Mo, H., Wei, L., et al.: MPC-based longitudinal control strategy considering energy consumption for a dual-motor electric vehicle. Energy 253 (2023)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jieling Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2025 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Luo, Z., Wang, J., Ju, B., Li, C., Hu, C. (2025). Design of a Trajectory-Tracking Controller for OMRs Based on Minimizing Tire Wear. In: Lan, X., Mei, X., Jiang, C., Zhao, F., Tian, Z. (eds) Intelligent Robotics and Applications. ICIRA 2024. Lecture Notes in Computer Science(), vol 15201. Springer, Singapore. https://doi.org/10.1007/978-981-96-0771-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-981-96-0771-6_5

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-96-0770-9

  • Online ISBN: 978-981-96-0771-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics