NUMERICAL STUDY OF AN AXIAL PISTON PUMP :PREDICTION METHOD OF FLOW RIPPLE BASED ON DIGITAL TWIN

The flow and pressure ripple is generated by positive displacement pumps in the hydraulic circuit. Indirectly measuring flow ripple is complicated and impractical due to the complexity of the pipeline in practical systems and modeling uncertainty in model-based prediction methods. To address this problem, our research introduces an innovative approach utilizing digital twin technology for accurately predicting the flow ripple in axial piston pumps. The proposed method reduces modeling uncertainty by only including the pump model and a small part of the pipeline to the pressure sensor as the digital twin model. The measured pressure ripple signal from the pressure sensor is used as the boundary condition for the digital twin model. The effectiveness of this method is verified through numerical experiment. In these, we can easily obtained real flow ripple signals, demonstrating the practical applicability of our approach. The results are promising; with minimal modeling errors and no phase deviation, the predicted flow ripple closely aligns with the actual flow ripple observed in the experiments. This high degree of accuracy underscores the potential of our method in real-world applications. Furthermore, two soft solutions without an angle encoder installed at the shaft are proposed to find the phase-matching digital twin model.