This paper aims parking accuracy problem of trains in ATO (Automatic Train Operation) mode, in order to improve the parking accuracy can improve passengers taking on and off efficiency, reduce the dwell time in the station, improve the operation efficiency, as well improve the quality of passenger service as. In the practical application, it has a strong application value. This paper proposes a new balise arrangement scheme for Nanning Rail Transit line 4, in order to improve the parking accuracy. This paper uses the balise information and the non-learning parking algorithm based on Newton mechanics, the arrangement spacing of the balise of Nanning rail Transit line 4 is reset. After optimizing and adjusting the balises spacing of line 4, the accuracy of train automatic driving parking is simulated by using Matlab simulation software. By comparing and analyzing the results of Matlab simulation testing with the results before optimizing the layout of the responder, after optimization, the parking accuracy during the automatic train operation parking process has been improved by 3.33%, which is 1cm higher than the required range of parking accuracy (± 30cm).
The high-pressure fuel system is an important part of the transmitter. In its working process, the oil enters or sprays out, which will cause pressure changes. The pressure in the high-pressure oil pipe is basically stable at about 100MPa, and the density pressure formula is specially corrected. The correction value is +0.018 through the weighted average. The classic PID control algorithm is used to easily realize the control process of voltage stabilization from 100MPa to 150MPa.This paper establishes three models, namely, the high-pressure oil pump model, the fuel injector model and the decompression model. The MATLAB simulation software is used to display the results, and the fuel pressure and quality in the high-pressure oil pipe are used to connect the three models. The parallel operation method reduces the overall operation workload of the system, with good robustness and good scalability.
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