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The Study of Vehicle Active Suspension and EPS Integrated Control Based on Fuzzy Neural Network
YUAN Chuan-yi;BEI Shao-yi;HE Qing;ZHANG Yan
2011, 31 (5):
99-103.
DOI: 10.3969/j.issn.1006-1355-2011.05.023
The dynamic model of vehicle’s active suspension for steering analysis is established. The EPS model, tire model and road-condition input model are introduced. Fuzzy neural network control method is used to design the vehicle’s active suspension and the integrated EPS control system. According to the changes of the body posture of the vehicle, the active force and the EPS assistant torque of the actuator of the active suspension system can be adjusted dynamically. The simulation and analysis are carried out for different steering-wheel angle input. The results show that compared to the uncontrolled suspension and steering system, the vertical acceleration peak and standard deviation of the active suspension and the EPS integrated control system are decreased by 40.94% and 26.06%, and the peak and standard deviation of transverse angular velocity of the vehicle are decreased by 6.24% and 48.15%. Thus, the vehicle body’s vibration is suppressed effectively, and the ride-comfort and handling stability are greatly improved.
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