Skip to main content
Log in

Adaptive fuzzy sliding mode control for coordinated longitudinal and lateral motions of multiple autonomous vehicles in a platoon

  • Article
  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

In this paper, the platoon control problem of autonomous vehicles in highway is studied. Since the autonomous vehicles have the characteristics of nonlinearities, external disturbances and strong coupling, a novel adaptive fuzzy sliding coordinated control system is constructed to supervise the longitudinal and lateral motions of autonomous vehicles, in which the fuzzy system is employed to approximate the unknown nonlinear functions. Due to the low sensitivity to disturbances and plant parameter variations, the proposed control approach is an efficient way to handle with the complex dynamic plants operating under un-certainty conditions. The asymptotic stability of adaptive coordinated platoon close-loop control system is verified based on the Lyapunov stability theory. The results indicate that the presented adaptive coordinated platoon control approach can accurately achieve the tracking performance and ensures the stability and riding comfort of autonomous vehicles in a platoon. Finally, simulation test is exploited to demonstrate the effectiveness of the proposed control approach.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Ghasemi A, Kazemi R, Azadi S. Stable decentralized control of a platoon of vehicles with heterogeneous information feedback. IEEE Trans Veh Tech, 2013, 62: 4299–4308

    Article  Google Scholar 

  2. Zhou H, Saigal R, Dion F, et al. Vehicle platoon control in high latency wireless communications environment vehicle platoon control in high-latency wireless communications environments. Transp Res Rec, 2012, 2424: 81–90

    Article  Google Scholar 

  3. Yue W, Guo G, Wang L, et al. Nonlinear platoon control of Arduino cars with range-limited sensors. Int J Control, 2015, 88: 1037–1050

    MathSciNet  MATH  Google Scholar 

  4. Liu Y, Gao H, Xu B, et al. Autonomous coordinated control of a platoon of vehicles with multiple disturbances. IET Control Theory A, 2014, 8: 2325–2335

    Article  MathSciNet  Google Scholar 

  5. Ploeg J, Nathan V, Nijmeijer H. Lp string stability of cascaded systems: application to vehicle platooning. IEEE Trans Control Syst Tech, 2014, 22: 786–793

    Article  Google Scholar 

  6. Bernardo M, Salvi A, Santini S. Distributed consensus strategy for platooning of vehicles in the presence of time-varying heterogeneous communication delays. IEEE Trans Intel Transp Syst, 2015, 16: 102–112

    Article  Google Scholar 

  7. Assad A, Ather G, Karl J. Guaranteeing safety for heavy duty vehicle platooning: Safe set computations and experimental evaluations. Control Eng Pract, 2014, 24: 33–41

    Article  Google Scholar 

  8. Guo J H, Li K Q, Luo Y G. Coordinated control of autonomous 4WD electric vehicles for platooning and trajectory tracking using a hierarchical architecture. ASME J Dyn Syst Meas Control, 2015, 137: 1–18

    Google Scholar 

  9. Kumarawadu S, Lee T. Neuroadaptive combined lateral and longitudinal control of highway using RBF networks. IEEE Trans Intell Transp Syst, 2006, 7: 500–511

    Article  Google Scholar 

  10. Rachid A, Rodolfo O, Michel B. Combined longitudinal and lateral control for automated vehicle guidance. Veh Syst Dyn, 2014, 52: 261–279

    Article  Google Scholar 

  11. Song P, Zong C, Tomizuka M. Combined longitudinal and lateral control for automated lane guidance of full drive-by-wire vehicles. SAE Int J Passenger Cars, 2015, 8: 419–424

    Google Scholar 

  12. Huang S, Chen H. Adaptive sliding controller with self-tuning fuzzy compensation for vehicle suspension control. Mechatronics, 2006 16: 607–622

    Article  Google Scholar 

  13. Guo X, Wang J, Fang L, et al. Distributed adaptive integrated sliding mode controller synthesis for string stability of vehicle platoons. IEEE Trans Intell Transp Syst, 2016, 99: 1–11

    Google Scholar 

  14. Chang Y H, Yang CY, Chan W S, et al. Adaptive fuzzy sliding mode formation controller design for multi-robot dynamic systems. Int J Fuzzy Syst, 2014, 16: 121–131

    Google Scholar 

  15. Toshio Y. Adaptive fuzzy sliding mode control for uncertain multi-input multi-output discrete-time systems using a set of noisy measurements. Int J Syst Sci, 2015, 46: 255–270

    Article  MATH  Google Scholar 

  16. Lian R J. Adaptive self-organizing fuzzy sliding mode radial basis function neural-network controller for robotic systems. IEEE T Ind Electron, 2014, 61: 1493–1503

    Article  Google Scholar 

  17. Guo J, Hu P, Li L, et al. Design of automatic steering controller for trajectory tracking of unmanned vehicles using genetic algorithms. IEEE Trans Veh Tech, 2012, 61: 2913–2924

    Article  Google Scholar 

  18. Rajamani R. Vehicle Dynamics and Control (Second Edition). New York: Springer, 2012

    Book  MATH  Google Scholar 

  19. Ploeg J, Shukla D P, Wouw N V, et al. Controller synthesis for string stability of vehicle platoons. IEEE Trans Intell Transp Syst, 2014, 15: 854–865

    Article  Google Scholar 

  20. Dunbar W B, Caveney D S. Distributed receding horizon control of vehicle platoons: Stability and string stability. IEEE Trans Autom Control, 2012, 57: 620–633

    Article  MathSciNet  Google Scholar 

  21. Pan Y J. Decentralized robust control approach for coordinated maneuvering of vehicles in platoons. IEEE Trans Intell Transp Syst, 2009, 10: 346–354

    Article  Google Scholar 

  22. Ho H, Wang Y, Rad A. Robust fuzzy tracking control for robotic manipulators. Simul Model Pract Th, 2007, 15: 801–816

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to JingHua Guo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, J., Luo, Y. & Li, K. Adaptive fuzzy sliding mode control for coordinated longitudinal and lateral motions of multiple autonomous vehicles in a platoon. Sci. China Technol. Sci. 60, 576–586 (2017). https://doi.org/10.1007/s11431-016-0606-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-016-0606-1

Keywords

Navigation