摘要
挖掘机作为机械第一主力机种,应用范围广泛,作业环境复杂,当进行水下挖掘或处于高危场合时,难以测量挖掘深度,影响挖掘质量和效率。本文根据挖掘机的结构特点,建立了深度测量的数学模型,论述了挖掘机动态测深系统的工作原理和软硬件设计,并针对倾角传感器的动态测量误差,使用卡尔曼滤波进行校准,从而实现精确的自动化深度测量。
As the main mechanical machine, the excavator is widely used in different complex working environment. It＇s hard to measure the digging depth under dangerous occasions, which will influence the digging quality and efficiency. According to the structural features of the excavator, mathematical model for depth measurement is built. The design of system for dynamic depth measurement of the excavator is presented in this paper. And Kalman filtering is applied to calibrate the dynamic error of the tilt sensor in order to get the accurate digging depth measuring result.
作者
浦凯菲
PU Kai-fei(Sc hool of Automation, Nanjing University of Science and Technology , Nanjing 210094, China)
出处
《电子设计工程》
2017年第18期156-160,共5页
Electronic Design Engineering
关键词
挖掘机
深度测量
无线通信
卡尔曼滤波
excavator
depth measurement
wireless communication
Kalman filter
作者简介
浦凯菲（1992-），女，江苏苏州人，硕士研究生。研究方向：工业自动化与嵌入式系统。
