Traction motor on-line monitoring-based electric locomotive idling slippage identification method

Abstract

The invention discloses a traction motor on-line monitoring-based electric locomotive idling slippage identification method which comprises the steps of: taking electric parameters such as three-phase voltage of a traction motor, three-phase current of the traction motor and traction torque command as on-line monitoring parameters; then, acquiring the identification parameter related to an idling / slippage characteristic space by a multi-sampling rate expansion kalman filter method; meanwhile, using a data drive-based idling / slippage decision algorithm to obtain the judgment of idling / slippage trend by on-line data; and finally, based on the information, realizing the idling / slippage identification of a locomotive. The method has the beneficial effects that the electrical time constant of the traction motor transition process is far shorter than the mechanical time constant of the traction motor transition process, so that the time lag is greatly reduced, and the method can rapidly realize the locomotive idling / slippage identification so as to open up a space for optimizing an adhesion coefficient; and according to the method, d a speed sensor is not needed, thus saving the cost and improving the system reliability.

Description

technical field [0001] The invention relates to the technical field of locomotive monitoring, in particular to a locomotive idling / sliding identification method. Background technique [0002] In recent years, the construction of high-speed passenger dedicated railway lines and the operation of heavy-duty freight locomotives have played an active and important role in my country's economic construction. However, the development of traction and braking forces of a locomotive depends on the adhesion between the wheels and the track. If the traction force is greater than the available adhesion force between the wheel and rail, the excess traction force will accelerate the wheel to form idling, the relative sliding speed will increase rapidly, and the available adhesion force will decrease rapidly, resulting in excessive wear of the rail surface, heat damage of the wheel tire, and even derailment caused by bursting A series of serious problems such as accidents. For DC traction...

AI Technical Summary

Problems solved by technology

The idling recognition method based on the locomotive speed currently adopted, due to the large inertia of the mechanical system, has a large lag in the judgment of idling, and has to be restored by greatly reducing the motor torque, resulting in a decline in the average adhesion coefficient of the locomotive

In addition, the existing identification method needs to install a speed sensor on the locomotive. The installation of the sensor not only leads to an increase in system cost, an increase in volume, and a decrease in reliability, but also its performance is easily affected by the working environment.

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