Application of optimal fuzzy tracking control for automotive driving

Sinq Jen Wu*, Guo Zhong Zeng, Hsin Han Chiang, Tsu Tian Lee

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

This paper proposes a new automotive driving control for vehicle to track the specified multi-objectives. By considering the nonlinear and coupling vehicle dynamics and relative motions with respect to the road, the corresponding T-S fuzzy model of vehicle can be obtained with a suitable input decoupled technique. The controller based on the optimal fuzzy tracking design is then developed and it pushes the outputs of vehicle systems close to any desired targets without excessive control-energy consumption. The desired speed and lateral offset in double lane-change maneuver are given as tracking targets in this work, and simulation results show that the effectiveness of proposed tracking scheme.

Original languageEnglish
Pages (from-to)3319-3324
Number of pages6
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume4
Publication statusPublished - 2005
Externally publishedYes
EventIEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, United States
Duration: 2005 Oct 102005 Oct 12

Keywords

  • Automotive driving
  • Multi-outputs tracking
  • Optimal fuzzy tracking
  • T-S fuzzy models

ASJC Scopus subject areas

  • General Engineering

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