Longitudinal control of platoon for electric vehicle using adaptive neural networks

Makoto Katayama, Koji Ichikawa, Yoshitaka Oikawa, Hiromitsu Ohmori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

in AHS(Automated Highway Systems) project which is one of the ITS (Intelligent Highway Systems), the platoon control is developed. in this paper, a platoon control law based on Adaptive Neural Network (ANN) to lower level and Semi-Autonomous Adaptive Cruise Control (SAACC) to upper level is proposed. Moreover, there is "Delay" with the communication and the sensor. We design their compensators, and did stability analysis that takes those error into consideration. We confirmed that the closed loop system is stable, and confirmed the effectiveness in the numerical simulation.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
Pages217-222
Number of pages6
Publication statusPublished - 2005 Dec 1
Event16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - Prague, Czech Republic
Duration: 2005 Jul 32005 Jul 8

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume16
ISSN (Print)1474-6670

Other

Other16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
CountryCzech Republic
CityPrague
Period05/7/305/7/8

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Keywords

  • Adaptive control
  • Electric vehicles
  • Follow-up control
  • Inverse dynamics control
  • Neural networks
  • Nonlinear controlsystems

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Katayama, M., Ichikawa, K., Oikawa, Y., & Ohmori, H. (2005). Longitudinal control of platoon for electric vehicle using adaptive neural networks. In Proceedings of the 16th IFAC World Congress, IFAC 2005 (pp. 217-222). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 16).