Re-adhesion Optimization Control Strategy for Metro Traction

To make full use of the adhesion force between wheels and tracks and guarantee the train traction/brake performances, a re-adhesion optimization control strategy based on full-dimension state observer was proposed. When detecting slip/slide phenomena, this method could realize the optimal adhesion utilization by searching the adhesion summit zone quickly and adjusting the given torque dynamically according to the calculated AC motor torque and rotor angular velocity. The closed-loop poles assignment was introduced to ensure the control system stability and dynamic response performance. The proposed control strategy was simulated through a MATLAB/Simulink model and then verified by field experiments. The experimental results show that the whole re-adhesion efficiency using the proposed control strategy is greater than 80%, which meets the metro traction demands.