Abstract
Background: Accurate tracking of train speed is the key link to ensure the stability, accuracy
and safety of automatic train operation. To solve the influence of multi-information of freight train
speed control system on tracking accuracy, the information fusion preview control freight train speed
tracking control system is constructed.
With the increase in the speed and capacity of freight trains, the safety, energy efficiency and intelligent
operation of train operation have become increasingly important. Automatic freight trains operation can
replace manual operation with automated control systems, which can guarantee the safety of train operation,
and improve operational efficiency and reduce operational energy consumption.
Objective: Solve the problem of tracking accuracy and stability deterioration caused by multiinformation
of freight train.
Methods: Global navigation satellite system, inertial navigation system and speed measuring motor are
selected to construct a speed fusion measurement model by using loosely coupled integrated navigation
and improved entropy weight method. The information quantity of performance index and control quantity
in preview control is calculated, and the controlled quantity of information fusion optimal preview
control is obtained.
Results: The average tracking error of the multi-source information fusion preview controller is
0.038m/s, which is 49% lower than that of the control experiment.
Conclusion: Multi-source information fusion preview controller can effectively reduce the tracking error
of freight train speed tracking system and improve the accuracy of automatic freight trains operation.
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