Construction and Analysis of Dynamic Weighing Model for Hydraulic Excavators

In this paper, we analyze the existing static weighing model, utilizing Simulink to construct a static weighing system. Multiple sets of experimental data are collected through the static weighing system, which involves the analysis and processing of load data and sensor data. Principal Component Analysis (PCA) is employed to assess the contribution of the angular velocities of the excavator’s arm, boom, and bucket to the weighing results. Additionally, a data fitting method is used to model the relationship between load error data and the angular velocities of the excavator’s arm, boom, and bucket, resulting in the development of a data-driven model. This data-driven model is combined with the static model to establish a dynamic weighing model for excavators. Through experimental simulation and comparison, the error rate of the dynamic weighing model is 5% lower than that of the static weighing model, leading to a significant improvement in weighing accuracy.