Моделювання точкових колійних датчиків з підвищеною завадостійкістю

Abstract

Nowadays, spot track sensors are becoming more widespread for monitoring the location of rolling stock in railway and industrial vehicles. Due to the fact that point track sensors are attached directly to the rail, this leads not only to the occurrence of significant mechanical and electromagnetic interference, but also the need to control the correctness of its fastening. These facts require the improvement of existing sensors and the development of new ones to meet the requirements of railway and industrial vehicles. The article is devoted to modeling point track sensors with increased noise immunity used in railway transport systems. The synthesis of adaptive modal laws of control of nonlinear systems for the analysis of point track sensors is performed. The main circuit and the block diagram of the adaptive system of a point track sensor with increased noise immunity are built. A model of point track sensors with increased noise immunity is implemented in the Simulink package. As a result of the simulation, signals were obtained at control points, which indicate sufficient noise immunity of a point track sensor. In addition, a model for the passage of a wheel of a rolling stock was developed, and the influence of the movement of the wheel, which is recorded by a point track sensor, on the coupling coefficient between the supply and receiving inductance coils, was modeled. From the data obtained it follows that the constructed model corresponds to a simulated point track sensor. When testing the model, real values were set as initial data, therefore, the simulation result is the initial data for constructing a real point track sensor. The data obtained make it possible to improve the existing point track sensors and optimize its parameters for the specific needs of railway and industrial vehicles. The developed model of wheel passage can be used in further studies.