An Efficient Algorithm for Random Vibration Control of High-Speed Railway Vehicle

A highly efficient and accurate algorithm is proposed for frequency domain analyses of high-speed railway vehicle with active suspension under stochastic track irregularities. The railway vehicle is model as a 10 degrees-of-freedom system, which consists of vehicle body, bogie, primary and secondary suspensions, and four rigid wheels. The bounce and pitch motions of vehicle body are controlled actively to achieve high comfort level for passengers by the use of LQG control strategy. Track irregularity is treated as stochastic progress with given power spectral density (PSD). Unlike conventional time-domain based analysis methods, the present method computes the PSD of railway vehicle responses directly from the track irregularity PSD by introducing the pseudo excitations. Therefore root mean squares of the vehicle responses, including the frequency-weighted acceleration ones required by the ISO standard 2631-1: 1997, can be obtained conveniently and accurately. Finally, numerical examples verify the effectiveness of the proposed method.