Research On Speed Tracking Control Method Based On EMU Strong Coupling Model

As one of the key technologies to ensure the safe operation of the EMU,the high-speed train operation control system plays an important central role in the safe operation of the train.With the increase of mileage of high-speed rail lines and the number of EMU trains,the safety and superiority of train operation control systems become more and more important.Its technical research work must adapt to the requirements of intelligent railway operation and meet the technology of high-speed train automatic driving.Conditions for the realization of automatic driving services for high-speed trains.Studying the automatic driving control strategy for high-speed EMU on the one hand can effectively reduce the labor intensity of drivers,effectively ensure the consistency of driving operations,and maximize the operational advantages of high-speed railways;on the other hand,it can also achieve people’s safety and intelligence,Efficient,green travel,to meet people’s growing material needs.Generally speaking,the research content of this paper has important practical significance for the safety,intelligence,and development of train control systems with independent intellectual property rights in China’s high-speed train operation control systems.The modeling work and control strategy design of high-speed EMU are the core work of EMU train operation control system to realize automatic driving.Based on the relationship between the dynamic mechanism of the high-speed train and the internal coupling force,this paper re-establishes a strong coupling model of the EMU that is different from the multi-power unit model,subspace model,traditional discrete system model,and fuzzy model.The model is mainly clear.The mode of action of the coupling force between vehicles and the magnitude of the force are enriched,the law of action is enriched,the accuracy of the model is further improved,but the complexity of the model is further increased.After that,considering the actual process of train operation,a variety of speed tracking control methods and optimized operation control methods based on the strongly coupled model of the EMU were discussed,and their corresponding simulation experiments were performed,and good results were obtained.Specific innovation research work is as follows:1.Establish a strongly coupled motion model for the EMU.The main idea is to use the hook-relief device between the two trains of the train as a spring-damper parallel system,to clarify the magnitude of the hook force in the workshop and the way it works on there search object,and to establish it in conjunction with the laws of the vehicle’s physical dynamics;An optimization algorithm and update strategy for time-varying parameters in the model;the model verification is performed through the collected high-speed train interval running data,and the results illustrate the correctness and accuracy of the EMU strong coupling model established in this paper.2.Considering that the EMU strong coupling model is composed of multiple sub-systems(vehicles)that are coupled to each other,multiple controllers can be designed for separate control.Considering that the robust adaptive control method has good robustness and adaptability,it is very suitable for a variety of uncertainties during the operation of high-speed trains,so this chapter designs a decentralized robust adaptive control strategy for high-speed trains..Taking a single system as an example,the stability of the controller is briefly analyzed;the speed tracking experiment is completed through the laboratory’s EMU simulation platform.(Note that the research work in this article does not deliberately decouple the strong coupling model,but directly brings the coupling effect into the entire system and observes the effect of the control strategy on the entire system.The same applies below.)3.Based on the EMU strong coupling model,based on the decentralized characteristics of the model’s dynamic or braking force input,a decentralized neural network sliding mode control strategy is designed to perform displacement tracking control for high-speed EMU;in order to reduce the unknown during the displacement tracking process The influence of factors on the control accuracy of the EMU,the historical operating data of the train is used to design the compensation rules for the current control law output of the historical operating data center to improve the control accuracy and practical stability;analyze the stability of the controller and complete the displacement tracking experiment.4.Based on the research content 2,decision variables are composed of four indicators:train speed tracking accuracy,running punctuality,stable operation,and running energy saving.The weights of the decision variables are adjusted adaptively based on the train running status and running goals,and the objective function is optimized to constrain the constraints.Next,the generalized tracking error value is re-input into the designed decentralized robust adaptive controller,and the optimized control force output is obtained,which constitutes an innovative EMU optimized control operation method to achieve the optimized and efficient operation of high-speed trains.Finally,the simulation experiment is completed.In order to ensure the safety of high-speed EMU in the process of autonomous driving,this article has carried out a series of innovative investigations.First,in order to improve the accuracy of the existing high-speed train model,a strong coupling model of the EMU was established,and multiple speed tracking control methods and optimized operation control strategies were designed to ensure the intelligent,efficient,and green operation of the high-speed train.The model simulation platform of the existing conditions in the laboratory has verified the effectiveness and applicability of the proposed method,and provided a certain theoretical guidance and exploration direction for the realization of the automatic driving operation control system of high-speed EMU.