Smooth shift control of automatic transmissions using a robust adaptive scheme with intelligent supervision

Deok Ho Kim, Kyung Jinn Yang, Keum Shik Hong, Jin Oh Hahn, Kyo Il Lee

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a robust adaptive control scheme with an intelligent supervisor for vehicle powertrain systems is investigated. The control objectives are to provide smooth shift transients for passenger comfort and to improve components durability. The reaction carrier speed and the turbine speed during the inertia phase are controlled to track their desired speeds, respectively. The boundedness of all signals in the closed loop system and the convergence of the reaction carrier speed error near to zero are guaranteed by applying the Lyapunov stability analysis. The adaptive compensation controller with an intelligent supervisor is implemented to keep the turbine speed error near to, zero and the deviation of the shift duration within an allowable range. The proposed control algorithm is implemented and evaluated on an experimental test setup.

Original languageEnglish (US)
Pages (from-to)250-272
Number of pages23
JournalInternational Journal of Vehicle Design
Volume32
Issue number3-4
DOIs
StatePublished - 2003
Externally publishedYes

Keywords

  • Adaptive neuro-fuzzy inference system
  • Intelligent supervisor
  • Robust adaptive control
  • Shift quality
  • Stability
  • Vehicle powertrain system

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering

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