Design And Implementation Of Train Network Control Platform Based On Wireless Communication

With the popularity of high-speed trains,the intelligence degree of trains is constantly improving,so it is necessary to continuously add new equipment and maintain and upgrade the old equipment.However,at present,a large number of cable connection modes in the existing trains in China have some problems,such as complicated wiring and difficult to confirm the fault point.In contrast,wireless transmission avoids the above disadvantages and is widely used in industrial control,telemedicine,robotics and other fields.However,due to the many uncertainties of wireless transmission,it is crucial to actually explore its communication performance in train network control.This paper systematically studies the actual communication performance,applicability and reliability of wireless transmission in the train network control system.The results show that wireless transmission has certain feasibility and application potential in train network control,but signal interference should be considered in practical application.This study can provide an important reference and reference significance for the development of next-generation train network control technology.The specific research contents are as follows:(1)According to the existing theory,the experimental platform of train wireless network control was designed and built,the communication program development and interface development of HMI,CCU,TCU,ACU,ACU and other equipment were completed,and then the related factors affecting the wireless communication performance of the platform were analyzed.In the experimental platform,the relevant procedures for communication performance test are designed.The delay and packet loss rate in different situations are explored by means of grasping data packets,and the test results are briefly analyzed,which provides reference for the practical application.(2)Based on singularity spectral analysis,a method is proposed to improve the parameters of SSM.The method handles the wireless delay sequence to reduce the complexity and designs a chaotic particle swarm algorithm for parameter selection of SVM.Finally,the actual delay under different working conditions is tested by MATLAB.The results show that the prediction method has high prediction accuracy and strong adaptability to the delay under different working conditions.(3)For the train operation control system with delay influence and line interference,a multi-power sliding mode control strategy based on delay compensation is designed.The sliding mode control has the advantages of fast response and insensitive to disturbance,but the control curve can be suppressed through the design of multi-power approach law;considering the delay of the controller design,avoiding the control performance through compensation;for the required parameters,the above improved particle swarm algorithm is selected to ensure the controller to obtain the optimal control performance.The train running speed is tracked by MATLAB.the tracking curve without delay compensation;the target speed can be accurately tracked after compensation.When the train operation encounters interference,the tracking curve has no obvious fluctuation.