Semi-Active Control Of Lateral Suspension Systems For High Speed Railway Vehicle Based On GPC-PID

Control of railway vehicle vibration is the key technology to improve train speed and stability, suspension system damping performance is directly related to railway vehicle vibration suppression ability. Semi-active suspension system structure is simple, no power source, small energy consumption, can adjust the damping or stiffness of suspension system in time to achieve the optimum damping state. In addition, semi-active suspension system has good cost performance, and can ensure the safety of failure condition guidance. Designing a suitable semi-active suspension system to improve the stability of high-speed passenger train is economical and effective, significant for our ongoing train speed.This paper analyzes the reasons for Railway Vehicle Vibration, using MATLAB /SIMULINK software to build a high-speed passenger vehicle of 15 degrees of freedom simulation model of semi-active suspension. Based on the power spectral density of sampling method is used to simulate the German low interference track spectrum as the track irregular signal. At last, gives the stability evaluation index of high-speed passenger vehicle.This paper applies the conventional PID and generalized predictive control (GPC) to semi-active suspension control system, for the model complexity of railway vehicle lateral semi-active suspension control and each characteristic of the two algorithms designs a kind of generalized predictive control performance index of the PID controller (GPC-PID). It has a double layer structure, the bottom for the traditional PID controller to maintain real-time control, upper is optimization layer based on GPC, in accordance with the performance decide whether to activate real-time optimization. This article uses it in the semi-active suspension control system of high-speed passenger vehicles, and gives the parameter setting program.Simulation results show that the semi-active suspension control system based on GPC-PID can effectively inhibit the vehicle body vibrations, has good adaptability for changes in model parameters and time delay, and has better robustness. As the upper layer is on-demand optimization starts, computation decreased obviously compared with GPC calculation. Simulation shows that this system is not caused the bogie frame vibration deterioration.