Abstract
In this paper, an adhesion control strategy based on the wheel-rail adhesion state observation is proposed for high-speed trains. First, the high-speed train single axle dynamics model is established. Then, a modified adhesion control method is proposed. The scheme observes the tangential force coefficient between wheel and rail through full dimension observer and forecasts the slope of the adhesion-slip curve by the recursive least squares method with forgetting factor. Meanwhile, a feasibility analysis of the method and the control parameters tuning is conducted. Afterwards, the experimental study of the proposed adhesion control is carried out based on a 5.5 kW induction motor drag platform using dSPACE simulation technology. The experimental results confirm the feasibility of the adhesion control method proposed in this paper. Using the proposed adhesion control method can achieve high wheel-rail adhesion performance under variable complex road conditions.
Highlights
Wheel-rail adhesion is one of the important factors affecting the normal traction-braking performance of high-speed trains
High speed trains are equipped with adhesion control devices to suppress the occurrence of idling-sliding, in order to ensure the normal operation of the train
To verify the effectiveness of the proposed adhesion control method, we designed adhesion-slip characteristics of three different road conditions as shown in Figure 6 [19,20]
Summary
Wheel-rail adhesion is one of the important factors affecting the normal traction-braking performance of high-speed trains. When traction-braking torque on the wheel over the maximum adhesion that wheel-rail can provide, idling-sliding phenomenon happens. The method is a kind of control that acts after the occurrence of idling-sliding It cannot obtain the best use of adhesion, and it is affected by road surface conditions. Literature [4,5,6] present a fuzzy adhesion control method based on a zero order observer and achieves good results, but due to the complex fuzzy logic and programming difficulty, there are certain limitations in practical application.
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