自动化科学与技术发展方向

柴天佑

doi:10.16383/j.aas.2018.c180252

自动化科学与技术发展方向

doi: 10.16383/j.aas.2018.c180252

柴天佑^1,2,3,

1.
东北大学流程工业综合自动化国家重点实验室沈阳 110819
2.
国家冶金自动化工程技术研究中心沈阳 110819
3.
自动化研究中心沈阳 110819

基金项目:

中国工程院、国家自然科学基金委员会"2014年度中国工程科技中长期发展战略研究" L1422028

中国工程院互联网+行动计划战略研究2035 2018-ZD-02

国家自然科学基金 61550002

中国科协学科方向预测及技术路线图 2015XKYL03

中国工程院、国家自然科学基金委员会"2014年度中国工程科技中长期发展战略研究" 2014-ZCQ-03

详细信息

作者简介:
柴天佑中国工程院院士, 东北大学教授.IEEEFellow, IFAC Fellow, 欧亚科学院院士.主要研究方向为自适应控制, 智能解耦控制, 流程工业综合自动化理论、方法与技术.E-mail:tychai@mail.neu.edu.cn

计量
- 文章访问数: 5678
- HTML全文浏览量: 1498
- PDF下载量: 3438
- 被引次数: 0
出版历程
- 收稿日期: 2018-04-25
- 录用日期: 2018-07-05
- 刊出日期: 2018-11-20

Development Directions of Automation Science and Technology

CHAI Tian-You^{1,2,3
,}

1.
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819
2.
National Engineering Research Center of Metallurgy Automation, Shenyang 110819
3.
Research Center of Automation, Shenyang 110819

Funds:

2014 Medium and Long-term Development Strategy Research of Chinese Engineering Science and Technology, Chinese Academy of Engineering, National Natural Science Foundation of China L1422028

Internet + Action Plan Strategy Research 2035, Chinese Academy of Engineering 2018-ZD-02

National Natural Science Foundation of China 61550002

Subject Direction Prediction and Technology Roadmap, Chinese Science and Technology Association 2015XKYL03

2014 Medium and Long-term Development Strategy Research of Chinese Engineering Science and Technology, Chinese Academy of Engineering, National Natural Science Foundation of China 2014-ZCQ-03

More Information

Author Bio:
Academician of Chinese Academy of Engineering, professor at Northeastern University, IEEE Fellow, IFAC Fellow, and academician of the International Eurasian Academy of Sciences. His research interest covers adaptive control, intelligent decoupling control, as well as theories, methods and technology of integrated automation of process industry

摘要

摘要: 本文结合中国自动化科学与技术的发展状况和中国绝大多数大学设有自动化专业的现状，借鉴自动化科学与技术发展历程中的成功经验，结合国家社会经济发展和国家安全对自动化系统的未来需求，以生产制造系统、重要运载工具和人参与的信息物理系统为主要对象，以自动化系统的发展方向—智能自主控制系统、智能优化决策系统和智能优化决策与控制一体化系统的愿景功能为目标，以研究实现愿景功能的建模、控制与优化新算法和新的自动化系统的设计方法和实现技术以及结合重大应用领域开展的应用研究为主线，提出了自动化科学与技术的发展方向，并结合新兴应用领域对自动化科学与技术的需求与挑战，提出了未来自动化科学与技术的发展方向.
- 智能自主控制系统 /
- 智能优化决策系统 /
- 智能优化决策与控制一体化系统 /
- 人参与的信息物理系统 /
- 人工智能驱动的自动化
Abstract: This paper takes into account the current status of automation science and technology development as well as the existing automation undergraduate programs in many Chinese universities at the moment; while lending from the successes in automation science and technology developmental history combined with future demands for automation systems to aid in the economic development and national security of China; taking manufacturing systems, important vehicles and cyber-physical and human system as research objects, this paper proposes that the future of automation systems be directed towards transforming into intelligent autonomous control system, intelligent optimal decision-making system and integrated system of intelligent optimal decision-making and control. With a research focus geared towards practical application, new algorithms of modeling, control and optimization for the prospective functions of the developing automation systems with subsequent design of methods and implementation techniques for new automation systems are taken as development directions of automation science and technology. Finally, this paper proposes that the future direction for development in the field of automation science and technology should be based on the current challenges and requirements that have emerged in new areas of application.
注释:

1) 本文责任编委刘向杰

HTML全文

参考文献(39)

[1]	Jms-Jounela S L. Future trends in process automation. Annual Reviews in Control, 2007, 31(2):211-220 doi: 10.1016/j.arcontrol.2007.08.003
[2]	柴天佑, 金以慧, 任德祥.基于三层结构的流程工业现代集成制造系统.控制工程, 2002, 9(3):1-6 doi: 10.3969/j.issn.1671-7848.2002.03.001 Chai Tian-You, Jin Yi-Hui, Ren De-Xiang. Contemporary Integrated Manufacturing System Based on Three-layer Structure in Process Industry. Control Engineering of China, 2002, 9(3):1-6 doi: 10.3969/j.issn.1671-7848.2002.03.001
[3]	Kehoe B, Patil S, Abbeel P. A Survey of Research on Cloud Robotics and Automation. IEEE Transactions on Automation Science and Engineering, 2015, 12(2):398-409 doi: 10.1109/TASE.2014.2376492
[4]	Lamnabhi-Lagarrigue F, Annaswamy A, Engell S. Systems and control for the future of humanity, research agenda:Current and future roles, impact and grand challenges. Annual Reviews in Control, 2017, 43:1-64 doi: 10.1016/j.arcontrol.2017.04.001
[5]	Smart Manufacturing Leadship Coalition. Implementing 21st century smart manufacturing, 2011, 6
[6]	德国联邦教育研究部.把握德国制造业的未来, 实施"工业4.0"攻略的建议(中文版). 2013, 9 Federal Ministry for Education and Research. Grasp the future of German manufacturing industry and put forward proposals for implementing "industry 4.0" strategy (Chinese version). 2013, 9
[7]	Executive Office of the President U.S. Artificial Intelligence, Automation and the Economy. 2016
[8]	Executive Office of the President, National Science and Technology Council, Committee on Technology, U.S. Preparing for the Future of Artificial Intelligence. 2016
[9]	Murray, R. M. Control in an information rich world: Report of the panel on future dire ctions in control, dynamics and systems. Philadelphia: Society for Industrial and Applied Mathematics, 2003
[10]	Samad T, Annaswamy A. The impact of control technology:Overview, success stories, and research challenges. IEEE Control Systems Society, 2011, 31(5):26-27 doi: 10.1109/MCS.2011.942051
[11]	Kumar P R. Control:A perspective. Automatica, 2014, 50(1):3-43 doi: 10.1016/j.automatica.2013.10.012
[12]	张钹, 郑应平.从现代信息科技发展看自动化学科的使命和发展趋势.自动化学报, 2002, 28(S1):18-22 http://www.aas.net.cn/CN/abstract/abstract14381.shtml Zhang Bo, Zheng Ying-Ping. Automation science and technology:its role and trends in the development of modern information society. Acta Automatica Sinica, 2002, 28(S1):18-22 http://www.aas.net.cn/CN/abstract/abstract14381.shtml
[13]	王成红.关于自动化领域中若干基础科学问题的思考.自动化学报, 2002, 28(S1):165-170 http://www.aas.net.cn/CN/abstract/abstract14378.shtml Wang Chen-Hong. Thinking about several problems of basic science in automation domain. Acta Automatica Sinica, 2002, 28(S1):165-170 http://www.aas.net.cn/CN/abstract/abstract14378.shtml
[14]	Cyber-physical systems. Program Announcements and Information. The National Science Foundation, 4201 Wilson Boulevard, Arlington, Virginia 22230, USA. 2008-09-30. Retrieved 2009-07-21.
[15]	Mayr O. Zur Frühgeschichte der Technischen Regelungen. R. Massachusetts:MIT Press, 1970
[16]	Bennett, S. A History of Control Engineering 1800-1930. Technology and Culture, 1979, 25(9):224 http://www.ams.org/mathscinet-getitem?mr=618277
[17]	Maxwell J C. On governors. Proceedings of the Royal Society of London, 1998, 16(2):270-283 http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_50e98efd74ea3c51593dc18448c4af16
[18]	Routh E J. A treatise on the stability of a given state of motion:particularly steady motion. London:Macmillan, 1877
[19]	Hurwitz A. On the conditions under which an equation has only roots with negative real parts. Mathematische Annalen, 1964, 46:273-284 doi: 10.1007%2F1-4020-3647-7_11
[20]	Hughes T P, Sperry E. Inventor and Engineer. Baltimore:Johns Hopkins Press, 1971
[21]	Mindell D A. Between human and machine:feedback, control, and computing before cybernetics. Baltimore:Johns Hopkins Press, 2002
[22]	Blickley G J. Modern control started with Ziegler-Nichols tuning. Control Engineering, 1990, 11:11-17 http://dspace.unimap.edu.my/xmlui/handle/123456789/44143
[23]	Black H S. Stabilized feedback amplifiers. Bell System Technical Journal, 1934, 13(1):1-18 doi: 10.1002/bltj.1934.13.issue-1
[24]	Nyquist H. Regeneration theory. Bell System Technical Journal, 1932, 11(1):126-147 doi: 10.1002/bltj.1932.11.issue-1
[25]	Bode H W. Network analysis and feedback amplifier design. New York:Van Nostrand, 1945
[26]	Kalman R. On the general theory of control systems. IRE Transactions on Automatic Control, 1959, 4(3):110 doi: 10.1109/TAC.1959.1104873
[27]	Morley D. Programmable controllers:How it all began. Intech, 2008 http://d.old.wanfangdata.com.cn/NSTLQK/NSTL_QKJJ0210087229/
[28]	Strothman J. M and C Technology History More than a century of measuring and controlling industrial processes. Intech, 1995, 42(6):52-78 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204239/
[29]	Engell S. Feedback control for optimal process operation. Journal of Process Control, 2007, 17(3):203-219 doi: 10.1016/j.jprocont.2006.10.011
[30]	Darby M L, Nikolaou M, Jones J, Nicholson D. RTO:An overview and assessment of current practice. Journal of Process Control, 2011, 21(6):874-884 doi: 10.1016/j.jprocont.2011.03.009
[31]	柴天佑.复杂工业过程运行优化与反馈控制.自动化学报, 2013, 39(11):1744-1757 http://www.aas.net.cn/CN/abstract/abstract18214.shtml Chai Tian-You. Operational Optimization and Feedback Control for Complex Industrial Processes. Acta Automatica Sinica, 2013, 39(11):1744-1757 http://www.aas.net.cn/CN/abstract/abstract18214.shtml
[32]	Chai Tian-You, Qin S. Joe and Wang Hong. Optimal Operational Control for Complex Industrial Processes. Annual Reviews in Control, 2014, 38(1):81-92 http://www.sciencedirect.com/science/article/pii/S1367578814000066
[33]	柴天佑, 郑秉霖, 胡毅.制造执行系统的研究现状和发展趋势.控制工程, 2005, 12(6):505-510 doi: 10.3969/j.issn.1671-7848.2005.06.001 Chai Tian-You, Zheng Bing-Lin, Hu Yi. Current Research Situation and Development of Manufacturing Execution Systems. Control Engineering of China, 2005, 12(6):505-510 doi: 10.3969/j.issn.1671-7848.2005.06.001
[34]	Hakason B. Execution-driven manufacturing management for competitive advantage. MESA White Paper, 1997, 5
[35]	柴天佑.工业过程控制系统研究现状与发展方向.中国科学:信息科学, 2016, 46(8):1003-1015 http://www.cnki.com.cn/Article/CJFDTOTAL-PZKX201608005.htm Chai Tian-You. Industrial process control systems:research status and development direction. Scientia Sinica Informationis, 2016, 46(8):1003-1015 http://www.cnki.com.cn/Article/CJFDTOTAL-PZKX201608005.htm
[36]	Yolanda Gil, Mark Greaves, James Hendler and Haym Hirsh. Amplify Scientific Discovery with Artificial Intelligence. Science, 2014, 346(6206):171-172 doi: 10.1126/science.1259439
[37]	柴天佑.生产制造全流程优化控制对控制与优化理论方法的挑战.自动化学报, 2009, 35(6):641-649 http://www.aas.net.cn/CN/abstract/abstract18090.shtml Chai Tian-You. Challenges of optimal control for plant-wide production processes in terms of control and optimization theories. Acta Automatica Sinica, 2009, 35(6):641-649 http://www.aas.net.cn/CN/abstract/abstract18090.shtml
[38]	Chai Tian-You, Ding Jin-Liang, Yu Gang and Wang Hong, Integrated Optimization for the Automation Systems of Mineral Processing. IEEE Transactions on Automation Science and Engineering, 2014, 11(4):965-982 doi: 10.1109/TASE.2014.2308576
[39]	柴天佑.制造流程智能化对人工智能的挑战.中国科学基金.待发表 Chai Tian-You. The challenge of intelligent manufacturing process to artificial intelligence. Bulletin of National Natural Science Foundation of China, to be published