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遥控挖掘机制动转角预测方法研究

Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator.

作者信息

Lin Yutong, Xiong Jingqi, Zhu Wenlian, Sun Rui

机构信息

Mechanical and Electrical Engineering, University of Electronical Science and Technology, Chengdu 611731, China.

出版信息

Sensors (Basel). 2023 Jul 28;23(15):6780. doi: 10.3390/s23156780.

Abstract

To calculate, analyze, and predict the rotation angle during the deceleration and braking process of large remote-controlled excavators, this article established a spatial coordinate system based on a simplified model of a hydraulic excavator's upper structure. Using the D-H parameter method, a mathematical model of the working device's center of gravity and its rotational inertia was established. Based on the characteristics of the excavator's hydraulic system and the relationship between brake torque variations, a prediction model was developed to forecast the stopping position (brake rotary angle) of the excavator's bucket after braking. Subsequently, the predicted results were validated using simulation and compared with existing experimental data to assess the accuracy of the model. The findings demonstrate that the predictive model exhibited high precision with minimal error. The utilization of this model enabled effective forecasting of the excavator's braking position changes, providing a theoretical foundation for the intelligent remote control of excavators.

摘要

为了计算、分析和预测大型遥控挖掘机减速和制动过程中的旋转角度,本文基于液压挖掘机上部结构的简化模型建立了空间坐标系。采用D-H参数法,建立了工作装置重心及其转动惯量的数学模型。基于挖掘机液压系统的特性以及制动扭矩变化之间的关系,开发了一个预测模型,以预测制动后挖掘机铲斗的停止位置(制动旋转角度)。随后,通过仿真对预测结果进行了验证,并与现有实验数据进行了比较,以评估模型的准确性。结果表明,该预测模型具有高精度和最小误差。该模型的应用能够有效地预测挖掘机制动位置的变化,为挖掘机的智能遥控提供了理论基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c16/10422292/860b87deeef8/sensors-23-06780-g001.jpg

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