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Research On Flexray Adaptive Controller For High Speed Vehicle Network

Posted on:2020-02-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y G ZhangFull Text:PDF
GTID:2392330596473160Subject:Electronic Science and Technology
Abstract/Summary:PDF Full Text Request
With the rapid development of computer networks and the automotive industry,automotive electronics has gradually penetrated into the main systems of automobiles in the subtle,and the network has gradually formed a network control system with a shared network as the medium and electricity as the signal.The FlexRay network control system is a complex control system composed of many electronic devices.Due to the limited network resources and the irregularity of network traffic,the complex and variable control tasks in the system share network resources in a time-sharing manner.It will cause delay and blockage of data transmission,reduce the system and stability of the FlexRay bus network,and cannot guarantee the security and reliability of the system.In this paper,the control performance and stability of the system are transmitted when the FlexRay vehicle network control system transmits data under large load.The safety and reliability of the FlexRay network control system cannot be guaranteed.A FlexRay vehicle network predictive controller based on neural network is proposed.Design method.By sampling the working state of the vehicle-mounted network at the current moment,the task workload of the network is adaptively adjusted according to the ever-changing load in the system,so as to achieve the purpose of regulating the vehicle network control system.The neural network predictive controller uses a nonlinear neural network model to predict the future performance of the system.The function of the controller is to calculate the corresponding control input and optimize the performance of the control system for a period of time by controlling the input.The simulation results in /Simulink show that the method has very good adaptability and learning ability,and improves the performance and stability of the FlexRay vehicle network control system.In order to fully and reasonably utilize the limited bandwidth resources and obtain the optimal bandwidth utilization,the mathematical model of the static parameters of the FlexRay and the length of the static message frame are greatly different,resulting in a large amount of bandwidth waste.The optimization function of MATLAB is proposed respectively.And the method of dividing a part of the long message into two equal-length messages.
Keywords/Search Tags:Network control system, FlexRay, Predictive control, Simulink
PDF Full Text Request
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