基于命令重塑的挖掘机液压载荷平稳制动控制。

IF 6.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2025-03-01 Epub Date: 2025-01-09 DOI:10.1016/j.isatra.2025.01.006
Wenbo Fu , Wenjuan Lu , Haitao Liu , Xiaoming Yuan , Daxing Zeng
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引用次数: 0

摘要

挖掘机作为一种人工操作的工程机械,液压载荷制动稳定性差,严重影响操作人员的舒适性。针对这一挑战,本研究通过模型分析研究了负载制动规律,设计了一种开环控制算法——命令整形,该算法通过在负载制动过程中分段调整操纵杆指令,进而主动调整反映系统动势能状态的关键参数,从而延长主阀的小开度时间,从而抑制制动振荡。基于1.5吨挖掘机的试验结果表明,该算法能在停车位置偏差较小的情况下显著提高制动稳定性,臂架油缸工作压力最大幅值降低至少40 %,摆动电机转速最大幅值降低至少54 %。此外,该算法易于实现,无成本,适合挖掘机的性能调整。
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Smooth braking control of excavator hydraulic load based on command reshaping
Excavators, a type of human-operated construction machinery, suffer from poor hydraulic load braking stability, which seriously affects operator comfort. To address this challenge, this study investigates load braking laws through model analysis and designs an open-loop control algorithm called command reshaping, which can prolong the small-opening time of the main valve by segmentally adjusting the joystick command during load braking and then actively adjusting the key parameters reflecting the system’s kinetic-potential energy state, thereby suppressing braking oscillations. The experimental results based on a 1.5-ton excavator indicated that the proposed algorithm can significantly enhance braking stability with a small stop-position deviation, the maximum amplitude of the working pressure of the boom cylinder was reduced by at least 40 %, and the maximum amplitude of the swing motor speed was reduced by at least 54 %. Furthermore, the algorithm is easily implemented, cost-free, and suitable for the performance tuning of excavators.
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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