Iterative learning identification applied to automated off-highway vehicle

Nanjun Liu, Andrew G Alleyne

Research output: Contribution to journalArticle

Abstract

This brief presents an approach for identifying the lateral dynamics of an automated off-highway agricultural vehicle for the purpose of automatic steering controller design. A second-order model is proposed to represent the vehicle lateral dynamics. An iterative learning identification (ILI) method is used to identify the model parameters. Simulation and experimental results under various test conditions show parameter convergence. The ILI results are compared with a gradient-based adaptive parameter estimation approach. The results highlight the practical benefit of the ILI approach for systems with repeated trajectories.

Original languageEnglish (US)
Article number6515142
Pages (from-to)331-337
Number of pages7
JournalIEEE Transactions on Control Systems Technology
Volume22
Issue number1
DOIs
StatePublished - Jan 1 2014

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Parameter estimation
Trajectories
Controllers

Keywords

  • Iterative learning control (ILC)
  • system identification
  • vehicle dynamics

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Iterative learning identification applied to automated off-highway vehicle. / Liu, Nanjun; Alleyne, Andrew G.

In: IEEE Transactions on Control Systems Technology, Vol. 22, No. 1, 6515142, 01.01.2014, p. 331-337.

Research output: Contribution to journalArticle

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