Keywords: railway track, curvature detect, bogie, running trajectory, algorithm, system, railway vehicle.

An accurate and efficient detection of a railway track curvature can effectively improve the control performance of active control systems for railway vehicles. In this study, aiming to improve the accuracy, real-time performance, and engineering application value of a curvature detection method for railway tracks, a curvature detection system based on a bogie running trajectory is proposed. The system is comprises an angular velocity sensor, speed sensor, and arithmetic unit arranged on the first bogie in the vehicle driving direction. Furthermore, a curvature detection algorithm based on the bogie running trajectory is proposed. The algorithm obtains the bogie running trajectory by measuring the yaw angular velocity and running speed of the bogie, and then calculates the railway track curvature in real time according to the trajectory. On this basis, an engineering prototype of the proposed system is built, and a line test is conducted to verify the effectiveness of the system scheme. During the test, corresponding sensors are installed to measure the running speed and yaw angular velocity of the bogie, and the arithmetic unit (integrated with the curvature detection algorithm) is used to calculate the curvature of the track in real time. The experimental results show that the system can effectively measure the track curvature. In addition, the high-frequency noise in the original signal is filtered out, and the real-time performance of the curvature detection is significantly improved relative to that of a traditional low-pass filter. Moreover, the layout of the system is simple and the algorithm is easy to implement, making it conducive to further engineering applications.

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