Design of a Networked Tracking Control System With a Data-based Approach

Shiwen Tong; Dianwei Qian; Xiaoyu Yan; Jianjun Fang; Wei Liu

doi:10.1109/JAS.2018.7511093

Volume 6 Issue 5

Sep. 2019

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2019 > 6(5): 1261-1267

Shiwen Tong, Dianwei Qian, Xiaoyu Yan, Jianjun Fang and Wei Liu, "Design of a Networked Tracking Control System With a Data-based Approach," IEEE/CAA J. Autom. Sinica, vol. 6, no. 5, pp. 1261-1267, Sept. 2019. doi: 10.1109/JAS.2018.7511093

Citation:

Shiwen Tong, Dianwei Qian, Xiaoyu Yan, Jianjun Fang and Wei Liu, "Design of a Networked Tracking Control System With a Data-based Approach," IEEE/CAA J. Autom. Sinica, vol. 6, no. 5, pp. 1261-1267, Sept. 2019. doi: 10.1109/JAS.2018.7511093

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Design of a Networked Tracking Control System With a Data-based Approach

doi: 10.1109/JAS.2018.7511093

1.
College of Robotics, Beijing Union University, Beijing 100101, and also with Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, China
2.
School of Computer and Control Engineering, North China Electric Power University, Beijing 102206, China
3.
Graduate School, Beijing Union University, Beijing 100101, China
4.
College of Urban Rail Transit and Logistics, Beijing Union University, Beijing 100101, China

Funds:

the National Natural Science Foundation of China 51205025

the National Natural Science Foundation of China 51775048

the National Natural Science Foundation of China 61602041

the Science and Technology Program of Beijing Municipal Education Commission KM201611417009

the Science and Technology Program of Beijing Municipal Education Commission KM201811417001

the Premium Funding Project for Academic Human Resources Development in Beijing Union University (BUU) BPHR2017CZ08

the Beijing Natural Science FoundationBeijing Municipal Education Commission Joint Fund KZ201811417048

the Project of 2018-2019 Basic Research Fund of BUU, the Beijing Advanced Innovation Center for Intelligent Robots and Systems Open Fund 2018I RS17

the Project of Beijing Municipal Natural Science Foundation 4142018

the Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions CIT & TCD20150314

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Author Bio:

Shiwen Tong received the B.E. degree in chemical engineering from the University of Petroleum (East China), Shandong, China, in 1999, the M.E. degree in control theory and control engineering from the University of Petroleum (Beijing), Beijing, China, in 2003, and the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2008. He was an operator with Liaohe Oil Field Petrochemical Refinery from 1999-2002, an Engineer with Beijing Anwenyou Science and Technology Company, Ltd. from 2003-2005, and an instrument Senior Engineer with China Tianchen Engineering Corporation (TCC) from 2008-2012.He is currently a Professor with the College of Robotics, Beijing Union University, Beijing, China. His research interests include the intelligent control, networked control, PEM fuel cell, and their industrial applications.(e-mail: shiwen.tong@buu.edu.cn)

Dianwei Qian received the B.E. degree from Hohai University, Nanjing, China, in 2003. In 2005 and 2008, He received the M.E. degree from Northeastern University, Shenyang, China, and the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, respectively. Currently, he is an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University, Beijing, China. His research interests include theories and applications of intelligent control, nonlinear control, etc. (e-mail: dianwei.qian@ncepu.edu.cn)

Xiaoyu Yan received the B.E. degree in logistics engineering from Beijing Union University, Beijing, China, in 2016, and received the M.E. degree in vocational and technical education from Beijing Union University, China, in 2018. She is currently a primary school English Teacher at Aidi School in Tianjin, China. Her research interests include education, networked control and robotics. (e-mail: 2864081055@qq.com)

Jianjun Fang received the bachelor degree in mechanical engineering from Central China Agricultural University in 1993 and Ph.D. degree in Mechanical Engineering from China Agricultural University. From 1998 to 2010, he has been an Assistant Professor, an Associate professor, and then a Full Professor with the Department of Mechanical Engineering at North China University of China, Beijing. Since 2010, he has been a Full Professor of the College of Urban Rail Transit and Logistics at Beijing Union University, Beijing, China. His research interests include development of agricultural harvesting robots and home service robots, machine vision and control of robots.(e-mail: jianjun@buu.edu.cn)

Wei Liu is an undergraduate student of Beijing Union University. His main research interest is networked tracking control.(e-mail: 1184260982@qq.com)
Corresponding author:
Shiwen Tong, e-mail: shiwen.tong@buu.edu.cn
Received Date: 2016-10-30
Revised Date: 2017-02-01
Accepted Date: 2017-03-09

Available Online: 2019-08-12

Publish Date: 2019-08-12

Abstract

Abstract

Tracking control is a very challenging problem in the networked control system (NCS), especially for the process with blurred mechanism and where only input-output data are available. This paper has proposed a data-based design approach for the networked tracking control system (NTCS). The method utilizes the input-output data of the controlled process to establish a predictive model with the help of fuzzy cluster modelling (FCM) technology. Then, the deduced error and error change in the future are treated as inputs of a fuzzy sliding mode controller (FSMC) to obtain a string of future control actions. These candidate control actions in the controller side are delivered to the plant side. Thus, the network induced time delays are compensated by selecting appropriate control action. Simulation outputs prove the validity of the proposed method.
- Delay compensation,
- fuzzy cluster modeling (FCM),
- fuzzy sliding mode control (FSMC),
- networked tracking control (NTC)

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References(25)

References

[1]	G. P. Liu, J. X. Mu, D. Rees, and S. C. Chai, "Design and stability analysis of networked control systems with random communication time delay using the modified MPC, " Int. J. Control., vol. 79, no. 4, pp. 288- 297, Aug. 2006. http://www.ams.org/mathscinet-getitem?mr=2210343
[2]	H. Zhang, Y. Shi, M. Q. Xu, and H. T. Cui, "Observer-based tracking controller design for networked predictive control systems with uncertain Markov delays, " in Proc. American Control Conf., Montreal, QC, Canada, 2012, pp. 5682-5687.
[3]	Z. H. Pang, G. P. Liu, D. H. Zhou, and M. Y. Chen, "Output tracking control for networked systems: a model-based prediction approach, " IEEE Trans. Control Syst. Technol., vol. 61, no. 9, pp. 4867-4877, Sep. 2014.
[4]	H. J. Gao, X. Y. Meng, and T. W. Chen, "Stabilization of networked control systems with a new delay characterization, " IEEE Trans. Automat. Control, vol. 53, no. 3, pp. 2142-2148, Oct. 2008. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6315295
[5]	Y. L. Wang and G. H. Yang, "Output tracking control for networked control systems with time delay and packet dropout, " Int. J. Control., vol. 81, no. 11, pp. 1709-1719, Sep. 2008. http://en.cnki.com.cn/Article_en/CJFDTotal-HZHX201502005.htm
[6]	L. Qiu, Y. Shi, J. F. Pan, and G. Xu, "Networked $H_{\infty}$ controller design for a direct-drive linear motion control system, " IEEE Trans. Industr. Electron., vol. 63, no. 10, pp. 6281-6291, Oct. 2016.
[7]	Z. Chen, Y. J. Pan, and J. Gu, "Integrated adaptive robust control for multilateral teleoperation systems under arbitrary time delays, " Int. J. Robust Nonlinear Control, vol. 26, no. 12, pp. 2708-2728, Aug. 2016. doi: 10.1002/rnc.3472/pdf
[8]	S. W. Tong, D. W. Qian, S. Wang, S. Jiang, K. Tian, J. J. Fang, and X. R. Deng, "Data-based networked tracking control system with time delay in the forward channel, " in Proc. 35th Chinese Control Conf., Chengdu, China, 2016, pp. 7440-7444.
[9]	T. Y. Zhang and G. P. Liu, "Predictive tracking control of network-based agents with communication delays, " IEEE/CAA J. Autom. Sinica, vol. 5, no. 6, pp. 1150-1156, Nov. 2018. http://www.cqvip.com/QK/61504X/20186/676820583.html
[10]	Y. Yang and D. Yue, "Distributed tracking control of a class of multi-agent systems in non-affine pure-feedback form under a directed topology, " IEEE/CAA J. Autom. Sinica, vol. 5, no.1, pp. 169-180, Jan. 2018. http://www.cnki.com.cn/Article/CJFDTotal-ZDHB201801017.htm
[11]	S. W. Tong, D. W. Qian, and G. P. Liu, "Networked predictive fuzzy control of systems with forward channel delays based on a linear model predictor, " Int. J. Comput., Commun. Control, vol. 9, no. 4, pp. 471-481, Aug. 2014.
[12]	R. M. Nagarale and B. M. Patre, "Exponential function based fuzzy sliding mode control of uncertain nonlinear systems, " Int. J. Dyn. Control, vol. 4, no. 1, pp. 67-75, Mar. 2016. doi: 10.1007/s40435-014-0117-2
[13]	Q. H. Ngo, N. P. Nguyen, C. N. Nguyen, T. H. Tran, and K. S. Hong, "Fuzzy sliding mode control of container cranes, " Int. J. Control Automat. Syst., vol. 13, no. 2, pp. 419-425, Apr. 2015.
[14]	W. S. Hu, G. P. Liu, and D. Rees, "Networked predictive control over the internet using round-trip delay measurement, " IEEE Trans. Instrum. Measur., vol. 57, no. 10, pp. 2231-2241, Oct. 2008. http://ieeexplore.ieee.org/document/4481238/
[15]	S. W. Tong, D. W. Qian, and J. J. Fang, "Sliding mode output tracking control based on a fuzzy clustering model, " in Proc. Int. Conf. Advanced Mechatronic Systems, Beijing, China, 2015, pp. 228-232.
[16]	D. E. Gustafson and W. C. Kessel, "Fuzzy clustering with a fuzzy covariance matrix, " in Proc. IEEE Conf. Decision and Control Including the 17th Symp. Adaptive Processes, San Diego, USA, 1979, pp. 761-766.
[17]	G. P. Liu, D. Rees D, S. C. Chai, and X. Y. Nie, "Design, simulation and implementation of networked predictive control systems, " Measur. Control, vol. 38, no. 1, pp. 17-21, Feb. 2005.
[18]	G. Y. Gu, L. M. Zhu, C. Y. Su, and H. Ding, "Motion control of piezoelectric positioning stages: modeling, controller design, and experimental evaluation, " IEEE/ASME Trans. Mechatron., vol. 18, no. 5, pp. 1459-1471, 2013. doi: 10.1109/TMECH.2012.2203315
[19]	W. C. Sun, S. W. Tang, H. J. Gao, and J. Zhao, "Two time-scale tracking control of nonholonomic wheeled mobile robots, " IEEE Trans. Control Syst. Technol., vol. 24, no. 6, pp. 2059-2069, Nov. 2016.
[20]	R. Z. Cao and K. S. Low, "A repetitive model predictive control approach for precision tracking of a linear motion system, " IEEE Trans. Industr. Electron., vol. 56, no. 6, pp. 1955-1962, Jun. 2009. http://ieeexplore.ieee.org/document/4663723/
[21]	Z. Chen, B. Yao, and Q. F. Wang, "$\mu$-synthesis-based adaptive robust control of linear motor driven stages with high-frequency dynamics: a case study, " IEEE/ASME Trans. Mechatron., vol. 20, no. 3, pp. 1482- 1490, Jun. 2015.
[22]	W. C. Sun, Y. F. Zhang, Y. P. Huang, H. J. Gao, and O. Kaynak, "Transient-performance-guaranteed robust adaptive control and its application to precision motion control systems, " IEEE Trans. Industr. Electron., vol. 63, no. 10, pp. 6510-6518, Oct. 2016.
[23]	J. Y. Yao, Z. X. Jiao, and D. W. Ma, "RISE-based precision motion control of DC motors with continuous friction compensation, " IEEE Trans. Industr. Electron., vol. 61, no. 12, pp. 7067-7075, Dec. 2014. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6809172
[24]	G. P. Liu, S. C. Chai, and D. Rees, "Networked predictive control of internet/intranet based system, " in Proc. 25th Chinese Control Conf., Harbin, China, 2006, pp. 2025-2029.
[25]	H. Y. Li, C. W. Wu, X. J. Jing, and L. G. Wu, "Fuzzy tracking control for nonlinear networked systems, " IEEE Trans. Cybern., vol. 47, no. 8, pp. 2020-2031, Aug. 2017.

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Data-based design method which is started from the input-output data of the process with fuzzy cluster modeling technology is proposed.
Predicted control actions from the transmitted data packet, which is based on the future errors and error changes, are utillized to compensate for the time-delay in the network.
Implicit predictive model has been transformed into an explicit form by means of neural network approximation.
Fuzzy sliding mode controller oriented to future control actions is designed.

Design of a Networked Tracking Control System With a Data-based Approach

doi: 10.1109/JAS.2018.7511093

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通讯作者: 陈斌, bchen63@163.com

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