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无线网络环境下工业过程运行反馈控制方法

范家璐 姜艺 柴天佑

范家璐, 姜艺, 柴天佑. 无线网络环境下工业过程运行反馈控制方法. 自动化学报, 2016, 42(8): 1166-1174. doi: 10.16383/j.aas.2016.c150771
引用本文: 范家璐, 姜艺, 柴天佑. 无线网络环境下工业过程运行反馈控制方法. 自动化学报, 2016, 42(8): 1166-1174. doi: 10.16383/j.aas.2016.c150771
FAN Jia-Lu, JIANG Yi, CHAI Tian-You. Operational Feedback Control of Industrial Processes in a Wireless Network Environment. ACTA AUTOMATICA SINICA, 2016, 42(8): 1166-1174. doi: 10.16383/j.aas.2016.c150771
Citation: FAN Jia-Lu, JIANG Yi, CHAI Tian-You. Operational Feedback Control of Industrial Processes in a Wireless Network Environment. ACTA AUTOMATICA SINICA, 2016, 42(8): 1166-1174. doi: 10.16383/j.aas.2016.c150771

无线网络环境下工业过程运行反馈控制方法

doi: 10.16383/j.aas.2016.c150771
基金项目: 

国家高技术研究发展计划(863计划) 2015AA043802

国家自然科学基金 61304028, 61333012, 61533015

详细信息
    作者简介:

    姜艺东 北大学流程工业综合自动化国家重点实验室控制理论与控制工程专业硕士研究生. 2014 年获得东北大学自动化学士学位. 主要研究方向为工业过程运行控制, 网络控制. E-mail: JY369356904@163.com

    柴天佑 中国工程院院士, 东北大学教授, IEEE Fellow, IFAC Fellow. 1985 年获得东北大学博士学位. 主要研究方向为自适应控制, 智能解耦控制, 流程工业综台自动化理论、方法与技术. E-mail: tychai@mail.neu.edu.cn

    通讯作者:

    范家璐 东北大学流程工业综合自动化国家重点实验室副教授. 2011 年获浙江大学控制科学与工程系博士学位(与美国宾夕法尼亚州立大学联合培养). 主要研究方向为工业过程运行控制, 工业无线传感器网络与移动社会网络. E-mail: fanjialu@gmail.com

  • 中图分类号: 

Operational Feedback Control of Industrial Processes in a Wireless Network Environment

Funds: 

National High Technology Research and Develop-ment Program of China (863 Program) 2015AA043802

Na-tional Natural Science Foundations of China 61304028, 61333012, 61533015

More Information
    Author Bio:

    JIANG Yi Master student at the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern Univer- sity. He received his bachelor degree in automation from Northeastern University in 2014. His research interest cov- ers industrial process operational control and networked control

    CHAI Tian-You Academician of Chinese Academy of Engineering, pro- fessor at Northeastern University, IEEE Fellow, IFAC Fel- low. He received his Ph. D. degree from Northeastern Uni- versity in 1985. His research interest covers adaptive con- trol, intelligent decoupling control, and integrated automa- tion theory, method and technology of industrial process

    Corresponding author: FAN Jia-Lu Associate professor at the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University. She received her Ph. D. degree from Zhejiang University in 2011. She was a visiting scholar with the Pennsylvania State Univer- sity during 2009?2010. Her research interest covers net- worked operational control, industrial wireless sensor net- works, and mobile social networks
  • 摘要: 针对一类工业过程运行控制中采用无线网络传输运行指标反馈值时存在的噪声和丢包问题,建立了输入为过程控制的输入输出、输出为运行指标的随机过程模型;提出了由不同采样速率的过程控制与过程控制设定值反馈控制组成的运行反馈控制方法;采用Lyapunov函数和不同采样频率的提升技术设计了过程PI控制器参数和过程控制设定值反馈控制器参数,保证了双闭环控制系统的随机稳定性;同时实现了运行指标实际值与目标值稳态误差的均值为零;通过浮选过程运行反馈控制仿真实验验证了本文所提方法的有效性.
  • 图  1  无线网络环境下工业过程运行反馈控制结构

    Fig.  1  The structure of industrial process operational feedback control under wireless network environment

    图  2  无线网络环境下工业过程运行指标闭环反馈控制策略

    Fig.  2  The feedback control strategy of industrial process operational index under wireless network environment

    图  3  过程PI控制器

    Fig.  3  Process PI controller

    图  4  运行指标实际值与目标值曲线\\

    Fig.  4  The actual operational index and target operational index

    图  5  过程控制设定值与输出曲线

    Fig.  5  The process control setpoint and output

    图  6  过程控制输入 $u$ 的曲线

    Fig.  6  The process control input $u$

    表  1  浮选过程符号表

    Table  1  Flotation process symbol table

    符号物理含义符号物理含义
    Mp泥浆质量hp液位高度
    Me泡沫质量qa泥浆流量
    Lcg精矿品位r*运行指标目标值
    Ltg尾矿品位r(T)运行指标实际值
    下载: 导出CSV

    表  2  丢包与噪声序列表

    Table  2  Packetdrop and noise table

    采样点12345678 910111213
    δ(k)/a 0010001111101
    δ(k)/b 0111111110101
    δ(k)/c 0110100100010
    ρ(k)/a -0.12560.08030.19310.12270.0814-0.0060-0.15420.0659-0.0539-0.14400.02670.12920.0696
    ρ(k)/b -0.0197-0.03510.1606-0.1978-0.0810-0.18030.07730.06000.19320.0211-0.0400-0.1205-0.0273
    ρ(k)/c -0.12240.16190.02770.0527-0.10620.01950.1726-0.06590.0622-0.04320.05090.07960.0214
    下载: 导出CSV
  • [1] Cutler C R, Perry R T. Real time optimization with multivariable control is required to maximize profits. Computers and Chemical Engineering, 1983, 7(5):663-667 doi: 10.1016/0098-1354(83)80010-6
    [2] 代伟, 柴天佑. 数据驱动的复杂磨矿过程运行优化控制方法. 自动化学报, 2014, 40(9):2005-2014 http://www.aas.net.cn/CN/abstract/abstract18472.shtml

    Dai Wei, Chai Tian-You. Data-driven optimal operational control of complex grinding processes. Acta Automatica Sinica, 2014, 40(9):2005-2014 http://www.aas.net.cn/CN/abstract/abstract18472.shtml
    [3] 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):641-648 doi: 10.3724/SP.J.1004.2009.00641

    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):641-648 doi: 10.3724/SP.J.1004.2009.00641
    [4] Chai T Y, Ding J L, Wu F H. Hybrid intelligent control for optimal operation of shaft furnace roasting process. Control Engineering Practice, 2011, 19(3):264-275 doi: 10.1016/j.conengprac.2010.05.002
    [5] 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 doi: 10.3724/SP.J.1004.2013.01744

    Chai Tian-You. Operational optimization and feedback control for complex industrial processes. Acta Automatica Sinica, 2013, 39(11):1744-1757 doi: 10.3724/SP.J.1004.2013.01744
    [6] Pan Hong-Guang, Gao Hai-Nan, Sun Yao, Zhang Ying, Ding Bao-Cang. The algorithm and software implementation for double-layered model predictive control based on multi-priority rank steady-state optimization. Acta Automatica Sinica, 2014, 40(3):405-414(潘红光, 高海南, 孙耀, 张英, 丁宝苍. 基于多优先级稳态优化的双层结构预测控制算法及软件实现. 自动化学报, 2014, 40(3):405-414 http://cn.bing.com/academic/profile?id=2365970690&encoded=0&v=paper_preview&mkt=zh-cn
    [7] Findeisen W, Bailey F N, Bryds M, Malinawski K, Tatjewski P, Wozniak A. Control and Coordination in Hierarchical Systems. New York:John Wiley & Son, 1980.
    [8] 柴天佑, 丁进良, 王宏, 苏春翌. 复杂工业过程运行的混合智能优化控制方法. 自动化学报, 2008, 34(5):506-515 http://www.aas.net.cn/CN/abstract/abstract13476.shtml

    Chai Tian-You, Ding Jin-Liang, Wang Hong, Su Chun-Yi. Hybrid intelligent optimal control method for operation of complex industrial processes. Acta Automatica Sinica, 2008, 34(5):506-515 http://www.aas.net.cn/CN/abstract/abstract13476.shtml
    [9] 范家璐, 张也维, 柴天佑. 一类工业过程运行反馈优化控制方法. 自动化学报, 2015, 41(10):1754-1761 http://www.aas.net.cn/CN/abstract/abstract18749.shtml

    Fan Jia-Lu, Zhang Ye-Wei, Chai Tian-You. Optimal operational feedback control for a class of industrial processes. Acta Automatica Sinica, 2015, 41(10):1754-1761 http://www.aas.net.cn/CN/abstract/abstract18749.shtml
    [10] Chai T Y, Zhao L, Qiu J B, Liu F Z, Fan J L. Integrated network-based model predictive control for setpoints compensation in industrial processes. IEEE Transactions on Industrial Informatics, 2013, 9(1):417-426 doi: 10.1109/TII.2012.2217750
    [11] Liu F Z, Gao H J, Qiu J B, Yin S, Fan J L, Chai T Y. Networked multirate output feedback control for setpoints compensation and its application to rougher flotation process. IEEE Transactions on Industrial Electronics, 2014, 61(1):460-468 doi: 10.1109/TIE.2013.2240640
    [12] Wang T, Gao H J, Qiu J B. A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(2):416-425 doi: 10.1109/TNNLS.2015.2411671
    [13] Jiang Y, Fan J L, Chai T Y, Chen T W. Setpoint dynamic compensation via output feedback control with network induced time delays. In:Proceedings of the 2015 American Control Conference. Chicago, IL:IEEE, 2015.5384-5389
    [14] Perera C, Zaslavsky A, Christen P, Georgakopoulos D. Sensing as a service model for smart cities supported by internet of things. Transactions on Emerging Telecommunications Technologies, 2014, 25(1):81-93 doi: 10.1002/ett.2704
    [15] Xu L D, He W, Li S C. Internet of things in industries:a survey. IEEE Transactions on Industrial Informatics, 2014, 10(4):2233-2243 doi: 10.1109/TII.2014.2300753
    [16] Gungor V C, Hancke G P. Industrial wireless sensor networks:challenges, design principles, and technical approaches. IEEE Transactions on Industrial Electronics, 2009, 56(10):4258-4265 doi: 10.1109/TIE.2009.2015754
    [17] Lu X, Zhang H S. Optimal estimation in wireless sensor networks with double measurements and multiplicative noise. In:Proceedings of the 29th Chinese Control Conference (CCC). Beijing, China:IEEE, 2010.4837-4840
    [18] Boyd S, El Ghaoui L, Feron E, Balakrishnan V. Linear Matrix Inequalities in System and Control Theory. USA:Society for Industrial and Applied Mathematics, 1994. http://cn.bing.com/academic/profile?id=852963576&encoded=0&v=paper_preview&mkt=zh-cn
    [19] Khasminskii R. Stochastic Stability of Differential Equations. Springer-Verlag, 2012. http://cn.bing.com/academic/profile?id=2131404431&encoded=0&v=paper_preview&mkt=zh-cn
    [20] Harris C C. Multiphase models of flotation machine behaviour. International Journal of Mineral Processing, 1978, 5(2):107-129 doi: 10.1016/0301-7516(78)90009-1
    [21] Thornton A J. The Application and Future Development of Adaptive Control to the Froth Flotation Process[Ph.D. dissertation], The University of Queensland, Australian, 2015.
    [22] Maldonado M, Sbarbaro D, Lizama E. Optimal control of a rougher flotation process based on dynamic programming. Minerals Engineering, 2007, 20(3):221-232 doi: 10.1016/j.mineng.2006.08.015
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出版历程
  • 收稿日期:  2015-11-17
  • 录用日期:  2016-02-26
  • 刊出日期:  2016-08-01

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