Identification of a toroidal continuously variable transmission using continuous-time system identification methods

M. Mensler, S. Joe, T. Kawabe

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper deals with the identification of a toroidal continuously variable transmission (T-CVT). The model describing the T-CVT system is a model with exogenous time-varying parameters and, in order to facilitate the parameter estimation, the complete T-CVT model is split into two sub-models. The parameters of the first sub-model are estimated with the Poisson moment functionals (PMF) method around several operating points, while the parameter of the second sub-model, reduced to a pure integrator, is estimated with the linear integral filter (LIF) method. These two methods belong to the continuous-time system identification methods. The complete T-CVT model accuracy is finally verified with experiments carried out with a test-bed and an actual vehicle.

Original languageEnglish
Pages (from-to)45-58
Number of pages14
JournalControl Engineering Practice
Volume14
Issue number1
DOIs
Publication statusPublished - Jan 1 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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