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 language | English |
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Pages (from-to) | 1234-1240 |
Number of pages | 7 |
Journal | Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
Volume | 13 |
Issue number | 6 |
Publication status | Published - Jun 2007 |
Externally published | Yes |
Keywords
- Co-simulation
- Four wheel steering
- Fuzzy control
- Multi-body system dynamics