机床智能控制系统体系架构及关键技术研究进展

doi:10.3901/JME.2021.09.147

机械工程学报 ›› 2021, Vol. 57 ›› Issue (9): 147-166.doi: 10.3901/JME.2021.09.147

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机床智能控制系统体系架构及关键技术研究进展

孟博洋¹, 李茂月¹, 刘献礼¹, WANG Lihui², LIANG S Y³, 王志学¹

1. 哈尔滨理工大学切削加工及制造智能化技术教育部重点实验室哈尔滨 150080;
2. 瑞典皇家理工学院斯德哥尔摩瑞典 25175;
3. 佐治亚理工学院乔治·W·伍德拉夫机械工程学院亚特兰大美国 30332

收稿日期:2020-06-22 修回日期:2020-09-06 出版日期:2021-05-05 发布日期:2021-06-15
通讯作者: 李茂月(通信作者)，男，1981年出生，博士，副教授，博士研究生导师。主要研究方向为开放式数控系统及智能加工技术等。E-mail：lmy0500@163.com
作者简介:孟博洋，男，1991年出生，博士研究生。主要研究方向为机床智能控制系统、运动控制及智能加工技术。E-mail：bymeng@hrbust.edu.cn
基金资助:
国家自然科学基金国际合作与交流重点资助项目（51720105009）。

Research Progress on the Architecture and Key Technologies of Machine Tool Intelligent Control System

MENG Boyang¹, LI Maoyue¹, LIU Xianli¹, WANG Lihui², LIANG S Y³, WANG Zhixue¹

1. Key Lab of Intelligent Technology for Cutting and Manufacturing, Ministry of Education, Harbin University of Science and Technology, Harbin 150080;
2. KTH Royal Institute of Technology, Stockholm, 25175 Sweden;
3. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, 30332 USA

Received:2020-06-22 Revised:2020-09-06 Online:2021-05-05 Published:2021-06-15

摘要/Abstract

摘要： 机床智能控制系统是未来智能机床领域的重要组成部分，对提高制造业核心竞争力具有重要意义。相比传统数控系统，机床智能控制系统具有更高效、稳定地加工质量，以及可代替人工经验智能判断等优点。针对现有机床智能控制系统方面的综述性讨论较少的情况，通过分析机床控制系统发展历程中四个阶段的特点，提出机床控制系统的智能化体系和架构。然后，从先进技术角度，详细阐述了人工智能技术、数字孪生技术以及云服务等关键技术，在机床智能控制系统中的应用。最后，通过分析智能机床面临的几大严峻挑战与应对之策，展望了未来机床智能化控制系统的发展趋势。

关键词: 数控机床, 智能控制系统, 人工智能, 数字孪生, 云服务

Abstract: Machine tool intelligent control system, as an integral part of future intelligent machine tools, plays a significant role in improving core competencies of manufacture. Compared with traditional CNC system, the intelligent one has the advantage of higher efficiency and more stable manufacturing quality. It’s able to make intelligent decisions and substitute experiences of human operators. Considering that there are few reviews on intelligent control system of machine tools, the framework and architecture of the machine tool intelligent control system is proposed by analyzing features from four stages of historical development of the machine tool control system. From the perspective of advanced technology, the related key technologies and engineering applications are elaborated, such as artificial intelligence, digital twins and cloud services. At last, after analyzing several major challenges of intelligent machine tools and their countermeasures, the future development trend of machine tool intelligent control system is forecasted.

Key words: CNC machine tool, intelligent control system, artificial intelligence, digital twin, cloud service

中图分类号:

TG659

孟博洋, 李茂月, 刘献礼, WANG Lihui, LIANG S Y, 王志学. 机床智能控制系统体系架构及关键技术研究进展[J]. 机械工程学报, 2021, 57(9): 147-166.

MENG Boyang, LI Maoyue, LIU Xianli, WANG Lihui, LIANG S Y, WANG Zhixue. Research Progress on the Architecture and Key Technologies of Machine Tool Intelligent Control System[J]. Journal of Mechanical Engineering, 2021, 57(9): 147-166.

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机床智能控制系统体系架构及关键技术研究进展

Research Progress on the Architecture and Key Technologies of Machine Tool Intelligent Control System

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