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Area of Science:

  • Automotive Engineering
  • Control Systems
  • Vehicle Dynamics

Background:

  • Vehicle safety during high-speed maneuvers is critical.
  • Active stabilizer bars offer a promising solution for enhancing vehicle stability.
  • Existing control strategies may not fully address complex dynamic oscillations.

Purpose of the Study:

  • To develop and validate a fuzzy control algorithm for an active stabilizer bar system.
  • To investigate the effectiveness of the active stabilizer bar in mitigating vehicle oscillations and rollover risk.
  • To model and simulate complex vehicle dynamics under various conditions.

Main Methods:

  • Development of a novel spatial dynamics model and a nonlinear double-track dynamics model.
  • Integration of a nonlinear tire model for enhanced simulation accuracy.
  • Implementation of a fuzzy control algorithm with optimally designed membership functions and rules using MATLAB-Simulink.

Main Results:

  • Significant reduction in vehicle body roll angle.
  • Substantial decrease in vertical wheel forces.
  • Marked improvement in rollover phenomenon across three simulated speeds.
  • Demonstrated high stability and responsiveness of the fuzzy controller.

Conclusions:

  • The fuzzy-controlled active stabilizer bar effectively enhances vehicle stability and safety during high-speed steering.
  • The developed complex dynamic model provides accurate simulation of vehicle behavior.
  • Further research can explore combining fuzzy logic with other algorithms for improved system efficiency.