Study On The Optimal Pressure Load And Active Control Of Pantograph Catenary

In pantograph catenary system,the size of the contact pressure determines the current quality of the electric locomotive and the friction and wear between pantograph and catenary.In order to find the optimum pressure load and study the optimal value of the contact force from the active control of the pantograph.Thus through self-testing machine,text simulates the pantograph catenary system running status,experiments on the grind with leaching metal carbon slide and copper wire,study the numerical relationship of contact pressure load and current efficiency,current-carrying stability factor and wear rate in the case of given current and speed.Adopting immune genetic algorithm optimize Elman dynamic feedback neural network(IGA-ENN)for input and output model prediction.After optimization,the optimal solution of Pareto is obtained and transfers the multi-objective optimization problem into single-objective optimization problem to determine the corresponding optimal pressure load.In order to determine the optimal value of the contact force,the method of feedback linearization is used to design the pantograph controller,and the disturbance observer is designed to improve the robustness of the system.The simulation results show that the IGA-ENN algorithm has high accuracy and fast speed.The feedback linearization algorithm can better adapt the nonlinear and time variant of the pantograph catenary system,control effect is good.