考虑轨迹规划和协同操作的路面施工中多碾压机自动化协同方法

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-09-29 DOI:10.1111/mice.13347
Difei Wu, Sheng Zhong, Man Io Leong, Yishun Li, Boyuan Tian, Chenglong Liu, Yuchuan Du
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引用次数: 0

摘要

智能压实技术,尤其是全自动压实技术,已成为提高压实质量和效率的一项广受认可的创新技术。当多个压路机在同一区域内同时进行压实作业时,每个压路机的轨迹规划和协同控制成为确保高效安全压实的关键因素。本文介绍了在多压路机自动化应用中实现安全高效协同操作的综合方法框架。首先,传统压路机加装了自主功能,可通过跟踪控制算法自动跟踪预设轨迹。然后,提出了一种针对多辊操作的轨迹规划方法。随后,概述了一系列合作控制策略,以确定执行压实任务的最佳时机。此外,还提出了一种适用于多压路机操作的合作控制策略,即 "一起向前和向后移动 "控制,可确保压路机在启动和停止运动时不会发生碰撞。最后,通过在 100 米长、12 米宽的压实试验场进行实地测试,验证了所提出的轨迹规划方法和协同控制策略。这些试验包括单个压路机试验、双压路机并排试验和多压路机合作试验。平均轨迹跟踪误差保持在 15 厘米以下,证明了控制策略的有效性。
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A cooperative methodology for multi-roller automation in pavement construction considering trajectory planning and collaborative operation
Intelligent compaction, particularly fully autonomous compaction, has emerged as a widely accepted innovative technology for enhancing compaction quality and efficiency. When multiple rollers are concurrently engaged in compaction within the same region, the trajectory planning for each roller and cooperative control become pivotal factors in ensuring efficient and safe compaction. This paper presents a comprehensive methodology framework for achieving safe and efficient cooperative operations in multi-roller automation application. Initially, conventional rollers are retrofitted with autonomous functionality, allowing them to automatically follow preset trajectories through a tracking control algorithm. A trajectory planning method is then proposed, tailored for multi-roller operations. Subsequently, a series of cooperative control strategies are outlined to determine the optimal timing for executing compaction tasks. Additionally, a cooperative control strategy is proposed for multi-roller operations, known as “move forward and backward together” control, which ensures the rollers initiate and cease movement without colliding. Finally, the proposed trajectory planning method and cooperative control strategies are validated through field tests conducted on a 100-m-long, 12-m-wide compaction test site. These tests include single-roller trials, two-roller-in-a-row experiments, and multi-roller cooperation tests. The average trajectory tracking error is maintained below 15 cm, and the effectiveness of the control strategies is demonstrated.
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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