Tilting Control Signal Forecast and Dynamics Simulation of Tilting Train

In order to study the forecast method of tilting control signal of tilting train,the electrical-mechanical coupled model of tilting train is set up. The train model includes a motor car and two trailer cars.During the modeling process,various kinds of nonlinear factors are considered,including nonlinear wheel/rail creep force,nonlinear coupler force,nonlinear suspension forces,etc.The tilting control signal is based on the filtered lateral acceleration of the sensor on the first bogie frame.The curved track information is obtained from the filtered signal of the gyroscope on the first bogie frame.The linear interpolation and BP neural network forecast methods are used to reduce the time delay of the tilting signal.The curve negotiation dynamic performance of tilting train is studied by numerical method.It can be known from the numerical results that the linear interpolation and the neural network forecast methods all can reduce the time delay of tilting control signal of the first car,the unbalanced lateral acceleration can be decreased.The neural network forecast is better when the forecast time is long or the fluctuation of the input signal is big.The forecast method of tilting control signal has little influence on the dynamic performance of the tilting train.