Active Lateral Riding Comfort Control Strategies of High-Speed Train

Based on the lateral vibration control of bogie frame for improving hunting stability in high-speed trains, three control strategies including linear quadratic regulator (LQR) control, Fuzzy Proportional-Integral (Fuzzy-PI) Control and Particle Swarm Optimization Proportional-Integral-Derivative (PSO-PID) Control are compared in this study. For the simplified linear lateral dynamics model of single bogie, the control parameters under the three control strategies are acquired, then they are applied to the vehicle dynamics model co-simulated by the SIMPACK and MATLAB codes. The different train operating conditions are taken into account and the improvement of dynamics indexes under the three control strategies are evaluated from the aspects of lateral riding quality of the car body and lateral force of wheelsets. The results show that the three control strategies lead to obvious mitigation on lateral vibration, and the improvement of PSO-PID control is the most obvious, but the LQR control effect is the worst.