Study on the Adhesion Optimization Control Strategy and Its Application Based on Trend Forecasting

Wheel–rail adhesion is a complex question which is quite easily interrupted by external time-varying signal. Furthermore, the maximum adhesion point is time variant. It is difficult to find the maximum adhesion point for adhesion control procedure. This paper gives a deeply analysis on wheel–rail adhesion mechanism and then proposes an adhesion optimization strategy based on trend forecasting. This strategy is robust which is not sensitive to external environment, but mainly related to train’s operation condition. For validating its feasibility and reliability, the traction performance test in wet rail condition of HXD1 electric locomotive before and after adhesion program optimized is preceded. The test results indicate that the adhesion strategy proposed in this paper is useful to search the maximum adhesion point and improve the traction ability. It also indicates that this strategy is right and robust.