Four wheel steering vehicle fuzzy control strategy using ADAMS and MATLAB co-simulation

Yun Qing Zhang*, Kai Xian Ma, Qiang Tian, Gang Qin, Li Ping Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

A new intelligent controlled Four-Wheel Steering (4WS) was proposed by using fuzzy control strategy which was suitable for control nonlinear systems. The proposed 4WS took the side slip angle of the vehicle and yaw velocity of the vehicle as fuzzy control rule input, and the output was the rear wheel steering angle. A fuzzy control strategy model of 4WS was constructed by MATLAB/Simulink fuzzy control toolbox, and using the fuzzy control strategy to drive the rear wheel. A multi-body vehicle dynamic model was set up by ADAMS including the detailed suspension and steering system kinematics freedom and nonlinear characteristics of the tire, bushing, spring and damper, and the model could accurately predict dynamics performance of the vehicle. The two models were integrated and co-simulated by the interface of ADAMS/Control. Simulation result indicated that the fuzzy control could improve the handling and stability of vehicles greatly with stronger robustness.

Original languageEnglish
Pages (from-to)1234-1240
Number of pages7
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume13
Issue number6
Publication statusPublished - Jun 2007
Externally publishedYes

Keywords

  • Co-simulation
  • Four wheel steering
  • Fuzzy control
  • Multi-body system dynamics

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