Fuzzy logic control for vehicle stability control system with virtual prototype and experimental research

Electronic stability program (ESP) is an active safety system, which can keep a vehicle stable by traction or braking in extreme conditions and improve handling stability and driving safety significantly. In this paper, the vehicle subsystem key parameters were tested or identified through experimental means firstly, such as hydraulic power steering system, brake systems, shock absorbers and suspension hard points, wheels and tyres, engine and other components or subsystems parameters. And then the vehicle virtual prototype was built in multi-body dynamics software Adams/Car. According to the basic principles of vehicle stability control, the vehicle stability fuzzy-proportional–integral–derivative (PID) controller was designed in MATLAB/Simulink, and a combined simulation platform of control system and vehicle dynamics virtual prototype model was established. The model accuracy was verified by comparison of actual vehicle experiment and simulation under typical handling and stability control conditions. The results show that the ESP fuzzy-PID controller can effectively control the sideslip angle and yaw rate, and the vehicle trajectory following performance is satisfied. Finally, a winter field experiment was carried out, including double lane on snow roads and J-Turn on ice road. At the same time the original vehicle control algorithms are analysed.


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  • Accession Number: 01597462
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 17 2016 11:38AM