Inferring Cable-Suspended End-Effector Oscillations From Hydraulic Actuators’ Responses in Diaphragm Wall Hydraulic Grabs

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2025-01-08 DOI:10.1109/TASE.2024.3521599
Marius Krüger;Birgit Vogel-Heuser;Daniel Waterman;Suhyun Cha;Dominik Hujo;Theresa Prinz;Daniel Pohl;Matthias Semel
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Abstract

A Diaphragm Wall Hydraulic Grab (DWHG), used in civil engineering for bulk excavation, is featured with a cable-suspended end-effector (also named attachment tool). The end-effector begins to oscillate during DWHG operation. Essential insights into the DWHG’s performance or productivity in operation could be derived from end-effector oscillations. However, due to limited robustness, the end-effector oscillation curves from a DWHG in operation can not be tracked directly by motion sensors attached to the end-effector. This article presents and evaluates a novel approach for DWHGs to infer cable-suspended end-effector oscillations from their hydraulic actuators’ responses. Hydraulic actuators’ responses depict the changes of hydraulic parameters in hydraulic actuators due to end-effector oscillations. The main contribution of this article is an investigation of how far oscillations of a cable-suspended end-effector in a DWHG can be inferred from their hydraulic actuators’ responses. For this purpose, a workflow is conducted: firstly, end-effector oscillations and their hydraulic actuators’ responses are collected for a typical DWHG steering sequence. Secondly, the collected end-effector oscillation and hydraulic actuators’ response curves are analyzed and processed. Thirdly, a model to infer end-effector oscillations from hydraulic actuators’ responses is built. Fourthly, an evaluation shows that the inferred oscillation curves (model output) are similar to the true end-effector oscillations. Note to Practitioners—This article is motivated by the demand to determine the oscillation curves of the cable-suspended end-effector (also named attachment tool) at a Diaphragm Wall Hydraulic Grab (DWHG) used in civil engineering for bulk excavation. Existing approaches for construction machines commonly install motion sensors at the end-effector to track its oscillations. However, mounting any sensors at the end-effector in DWHGs is not practicable because the end-effector is exposed to mechanical shocks and moisture. Thus, mounted sensors would be damaged or demolished. This article suggests and investigates a novel approach for DWHGs to infer end-effector oscillations from pressure data in hydraulic actuators that actuate the end-effector. Therefore, the pressure curves at the hydraulic actuators are tracked while the end-effector oscillates and are utilized afterward to infer these oscillations. A practical guide for a DWHG is presented and evaluated to collect, analyze, process, and utilize pressure data from hydraulic actuators to infer end-effector oscillations.
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从连续墙液压抓取中液压执行器的响应推断悬索末端执行器的振荡
连续墙液压抓斗(DWHG)是一种采用悬索末端执行器(也称为附着工具)的连续墙液压抓斗,用于土木工程的大体积开挖。末端执行器在DWHG运行期间开始振荡。从末端执行器的振荡中可以了解到DWHG的性能或生产效率。然而,由于鲁棒性的限制,DWHG在运行时的末端执行器振荡曲线不能被附着在末端执行器上的运动传感器直接跟踪。本文提出并评估了dwhg从液压执行器响应中推断悬索末端执行器振荡的新方法。液压执行器响应描述了由于末端执行器振荡引起的液压执行器内液压参数的变化。本文的主要贡献是研究了从液压致动器的响应中可以推断出DWHG中悬索末端执行器的振荡程度。为此,设计了一个工作流程:首先,收集典型DWHG转向序列的末端执行器振荡及其液压执行器响应。其次,对采集到的末端执行器振荡和液压执行器响应曲线进行分析和处理。第三,建立了从液压执行器响应中推断末端执行器振荡的模型。第四,评估表明,推导出的振荡曲线(模型输出)与末端执行器的真实振荡相似。给从业者的说明——本文的动机是为了确定土木工程中用于大体积开挖的连续墙液压抓斗(DWHG)的悬索末端执行器(也称为附着工具)的振荡曲线。现有的工程机械方法通常在末端执行器上安装运动传感器来跟踪其振荡。然而,在dwhg的末端执行器上安装任何传感器都是不切实际的,因为末端执行器暴露在机械冲击和潮湿中。因此,安装的传感器将被损坏或拆除。本文提出并研究了一种dwhg从驱动末端执行器的液压执行器的压力数据推断末端执行器振荡的新方法。因此,当末端执行器振荡时,跟踪液压执行器处的压力曲线,然后利用这些曲线来推断这些振荡。提出并评估了DWHG的实用指南,以收集,分析,处理和利用来自液压执行器的压力数据来推断末端执行器振荡。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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