Research On Arc Recognition And Semi-active Control Of Pantograph System Of High-speed Train

With the advancement of science and technology,the speed of trains is also increasing,and the safety of high-speed trains has gradually attracted people’s attention.Among the many problems that affect the safety of high-speed trains,the generation of pantograph arc has the most serious impact on the safety of high-speed trains.Gradually aroused the attention and research interest of the transportation department and the majority of scholars.The content of this paper is to realize the online detection of the pantograph arc by extracting the characteristic value of the pantograph current and mechanical learning.At the same time,it also designs a pantograph arc semi-active control system based on changing the damping coefficient,which can effectively reduce the pantograph arc.Since the more harmful arc is generated in the power system of the pantograph and the catenary,when the pantograph arc is generated,the electrical signal in the pantograph-catenary system will also have a certain distortion,and this change is less affected by the environment.Distortion is obvious,so selecting the electrical signal of the pantograph-catenary system can effectively distinguish the normal state of the pantograph and the arcing state.The process of extracting the electric signal of the pantograph-catenary includes: collecting the corresponding normal and arc current data by simulating the pantograph experiment,denoising the collected current data,and calculating and selecting the characteristic value of the denoised current data.And finally form positive and negative samples.Then the selected positive and negative samples are brought into the binary support vector machine classifier optimized based on the gray wolf algorithm for training and learning.The experimental results show that the gray wolf optimization algorithm can quickly and accurately identify the pantograph arc,and the obtained The classification model is more accurate than the commonly used optimization algorithms such as Grid Search(GS),Particle Swarm(PSO)and Genetic(GA).At the same time,it also introduces an engineering implementation scheme of the arc identification method of pantograph-catenary system,which is better proof The superiority of this method in the online identification of pantograph arc.After briefly introducing the hazards of pantograph arc and presenting an online identification method for pantograph arc based on gray wolf optimization algorithm,in order to reduce the probability of separation between pantograph and catenary,restrain the generation of pantograph arc,and then reduce For the harm caused by the pantograph arc,this paper establishes a state equation based on the damping and rigidity of the pantograph and catenary,and changes the pantograph damping coefficient through real-time feedback of the pantograph and catenary state,and designs a set to maintain the stability of the pantograph and catenary.Semi-active control system to achieve the purpose of reducing and suppressing the arc of the pantograph and catenary.The paper has 30 pictures,8 tables,and 59 references.