Optimal Contact Pressure Load Decision Of Pantograph Catenary And Active Control Of Pantograph

In the pantograph catenary high-speed flow receiving system,a pair of special friction pairs form the contact wire and pantograph slide plate,and the contact state directly determines the pantograph performance.Aiming at the problems of low efficiency of flow and severe wear of pantograph slide plate for electric locomotive,the optimal pressure load is studied in this paper.The current carrying friction test of pantograph pantograph test machine was carried out,and the three parameters of current efficiency,current carrying coefficient,relative stability coefficient and wear rate were obtained under different contact pressure,current and speed.Followed by the establishment of the experimental data of input and output forecast model of fuzzy RBF neural network,using multi-objective artificial fish swarm algorithm to optimize the contact load,and prove that the optimal solution of the target in the single point optimization of the Pareto front solution.The weight of each target in the single objective nonlinear model is determined by the fuzzy analytic hierarchy process,and then the optimal pressure load under the given condition is determined.At the same time,the fuzzy inverse controller is designed to control the contact load accurately in view of the uncertainty of the model parameters of the wind load and pantograph catenary system.The simulation results show that the fuzzy inversion control algorithm can better compensate the influence of pantograph parameters uncertainty on the control effect,and reduce the fluctuation of contact load,thus improving the flow efficiency.Finally,the feasibility of the algorithm is verified by hardware in loop experiment.