Vehicle stability control algorithm based on optimal fuzzy theory

As a new active safety technology, Vehicle Stability Control (VSC) system can maintain the vehicle stability by dominating the yaw moment effectively under extreme driving conditions. This paper presents a novel VSC strategy devoted to prevent vehicles from spinning and drifting out, which is based on the Linear Quadratic Regulator (LQR) and the fuzzy control theory. The response of the vehicle can follow the ideal output of the 2-DOF reference model through controlling the yaw rate and side slip angle. The performance of the proposed algorithm is evaluated under various emergency maneuvers and road conditions. The simulation results indicate that the proposed system can significantly improve vehicle lateral stability for active safety, which has strong adaptability and robustness.