Vehicle Lateral Stability System Based on Fuzzy PID Control

Application of Fuzzy PID Control in Vehicle Lateral Stability Systems Vehicle lateral stability control represents one of the core functions in autonomous driving and active safety systems. Traditional PID controllers often struggle to achieve optimal control performance when facing complex and variable driving conditions. Fuzzy PID control effectively enhances system response speed and robustness by combining the advantages of fuzzy logic with traditional PID control. Fundamental Principles of Fuzzy PID Building upon the traditional proportional, integral, and derivative components, Fuzzy PID introduces a fuzzy inference mechanism. The system continuously collects key parameters such as vehicle yaw rate and lateral acceleration. A fuzzification module converts precise quantities into fuzzy variables, then dynamically adjusts PID parameters based on predefined fuzzy rules, finally outputting control variables through defuzzification. Implementation Key Points in Lateral Stability Control Input Variable Selection: Typically uses lateral deviation and yaw rate deviation as fuzzy controller inputs Parameter Self-Tuning: Dynamically optimizes Kp, Ki, and Kd parameters through "IF-THEN" rule-based adjustments Anti-interference Capability: Exhibits adaptive characteristics for nonlinear factors like road adhesion coefficient changes and crosswind disturbances Technical Advantages Compared with traditional control methods, Fuzzy PID better handles system nonlinear characteristics. Its core values include: No requirement for precise mathematical models Adaptability to vehicle load variations and tire characteristic changes Maintains excellent control performance even under extreme operating conditions Code Implementation Considerations: - The fuzzification process typically involves membership function definitions using triangular or Gaussian functions - Rule base implementation requires 2D lookup tables for efficient real-time operation - Defuzzification commonly uses center of gravity method for smooth output transitions This intelligent control method has gradually become a key technology for enhancing vehicle handling stability. With the development of vehicle-infrastructure cooperation technologies, its control precision and response speed will see further improvements in the future.