Study on Frame Lateral Vibration Control to Improve Hunting Stability of High-Speed Train Bogie

摘要

In order to improve the hunting stability of the high-speed bogie, a method of the frame lateral vibration control is proposed in this study. Two cases of control scheme are taken into account. One uses the inertial actuators acting on the frame, and the other uses the retractable actuator acting between on the frame and the motor. An 8DOFs linear dynamics model of the high-speed bogie is used in the design of the control system, and the corresponding nonlinear model is utilized to obtain the wheel-rail force and the active control force by the time domain simulation. The state-space model of the bogie system is decomposed such that the observable and controllable modes are used to stabilize the internal states and therefore the overall system. A multi-objective genetic algorithm is used to search for the feedback control gains to optimize four objectives: the maximum wheelset lateral force, actuator output, relative stability, and disturbance rejection. The solutions of the multi-objective optimization provide various tradeoffs among the objectives. Numerical simulations show that the proposed control designs can stabilize the system effectively.