Affiliation:
1. Foundation Department, Hebei Vocational College of Rail Transportation, Shijiazhuang, 050000, China
2. Railway
transport system, Hebei Vocational College of Rail Transportation, Shijiazhuang, 050000, China
Abstract
Introduction:
In order to solve the problems of time-consuming and poor effects of
traditional mechanical vibration control methods for the relay, the mechanical characteristics and
vibration control of railway signal relays are studied in this paper. Based on the analysis of the
mechanical characteristics of railway signal relays, the mechanical characteristic parameters of the
relay, such as contact force, initial pressure, contact clearance, and overtravel are explored. On
this basis, mechanical vibration control is completed based on particle swarm optimization.
Methods:
First, sensors are used to collect the data on the railway signal relay, and the mechanical
vibration control model of the railway signal relay is built. Then, the structure of the PID vibration
controller and LQR vibration controller in the model is analyzed. Finally, the controller parameters
are adjusted through particle swarm optimization to improve the mechanical vibration control
effect of the relay.
Results:
The simulation results show that the average signal-to-noise ratio of the method is 67dB,
the collected data has low noise, and the control time is short, which is 1.4 s.
Conclusion:
The displacement of the railway signal relay controlled by the method is always less
than 0.15 mm, and the control effect is good, which can be widely used in practice.
Publisher
Bentham Science Publishers Ltd.
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
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