Resrarch And Simulation Of Adhsion Control Methods Based On Motor Vector Control

This paper is relying on the national support projects of science and technology "Optimization of Traction Drive Control". The research of the methods of adhesion control was carried out. Adhesion control performance not only directly related to the traction and braking ability of the train design, but also to the security of the trains running. For example, the failure of iding and slide are caused by adhesion damage. Especially in recent years, our country implementation of the strategy of high speed and over loading, resulting in locomotive traction load increasing, therefore, the research that how to effectively use the adhesive force between wheel and rail, and to achieve optimal control has important theoretical significance and engineering practical value.First, in this thesis, detailed analysis of the mechanical contruction of the locomotive. Using SIMPACK bulid bogies, body and orbit, and establishment of a complete locomotive model to analyze the force, then initialized the system. Through simulation shows the correctness of the model.Second, defined the inputs and outputs of the locomotive model in SIMPACK and built locomotive electric traction drive and motor control model in MATLAB/Simulink. The traction drive and motor control was introduced to the locomotive model, and constructed the co-simulation model that closer to the actual operating conditions of the locomotive. Adopting internationally accepted SIMPACK-MATLAB simuliation tools provide a good simuliton platform for receach of adhesion control, and successfully co-simulation.Finally, after definition of the different rail conditions in platform of co-simulation, according to the basic theory and the existing control method of adhesion control, and used combined correction method and fuzzy control method successfully inhibited the locomotive iding/slipping, improved the operational status. The control methods and the platform of co-simulation feasibility were confirmed.The platform of co-simulation truly reflected the control effect, and laid the foundation for the new control strategy and control algorithm. Compared with the physical prototype, the platform of co-simulation reduces the test cost, shortens the development period and provides an effective research tool for research of optimization adhesion methods.