Please wait a minute...
Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (5): 381-393    DOI: 10.1631/jzus.C0910217
    
New loop pairing criterion based on interaction and integrity considerations
Ling-jian Ye, Zhi-huan Song*
Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China
Download:   PDF(262KB)
Export: BibTeX | EndNote (RIS)      

Abstract  Loop pairing is one of the major concerns when designing decentralized control systems for multivariable processes. Most existing pairing tools, such as the relative gain array (RGA) method, have shortcomings both in measuring interaction and in integrity issues. To evaluate the overall interaction among loops, we propose a statistics-based criterion via enumerating all possible combinations of loop statuses. Furthermore, we quantify the traditional concept of integrity to represent the extent of integrity of a decentralized control system. Thus, we propose that a pairing decision should be made by taking both factors into consideration. Two examples are provided to illustrate the effectiveness of the proposed criterion.

Key wordsControl structure design      Decentralized control      Interaction analysis      Variable pairing      Relative gain array     
Received: 17 April 2009      Published: 28 April 2010
CLC:  TP273  
Fund:  Project supported by the National High-Tech Research and Devel-opment Program (863) of China (No. 2009AA04Z154), and the Na-
tional Natural Science Foundation of China (No. 60736021)
Cite this article:

Ling-jian Ye, Zhi-huan Song. New loop pairing criterion based on interaction and integrity considerations. Front. Inform. Technol. Electron. Eng., 2010, 11(5): 381-393.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C0910217     OR     http://www.zjujournals.com/xueshu/fitee/Y2010/V11/I5/381


New loop pairing criterion based on interaction and integrity considerations

Loop pairing is one of the major concerns when designing decentralized control systems for multivariable processes. Most existing pairing tools, such as the relative gain array (RGA) method, have shortcomings both in measuring interaction and in integrity issues. To evaluate the overall interaction among loops, we propose a statistics-based criterion via enumerating all possible combinations of loop statuses. Furthermore, we quantify the traditional concept of integrity to represent the extent of integrity of a decentralized control system. Thus, we propose that a pairing decision should be made by taking both factors into consideration. Two examples are provided to illustrate the effectiveness of the proposed criterion.

关键词: Control structure design,  Decentralized control,  Interaction analysis,  Variable pairing,  Relative gain array 
[1] Guo-liang Tao, Ce Shang, De-yuan Meng, Chao-chao Zhou. Posture control of a 3-RPS pneumatic parallel \\[3mm] platform with parameter initialization and an \\[4mm] adaptive robust method[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(3): 303-316.
[2] Guo-liang Tao, Ce Shang, De-yuan Meng, Chao-chao Zhou. Posture control of a 3-RPS pneumatic parallel platform with parameter initialization and an adaptive robust method[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(3): 303-316.
[3] Xiao-yu ZHANG. Application of direct adaptive fuzzy sliding mode control into a class of non-affine discrete nonlinear systems[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(12): 1331-1343.
[4] Guo-jiang Shen, Yong-yao Yang. A dynamic signal coordination control method for urban arterial roads and its application[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(9): 907-918.
[5] Yong-chun Xie, Huang Huang, Yong Hu, Guo-qi Zhang. Applications of advanced control methods in spacecrafts: progress, challenges, and future prospects[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(9): 841-861.
[6] Kyong-il Kim, Hsin Guan, Bo Wang, Rui Guo, Fan Liang. Active steering control strategy for articulated vehicles[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(6): 576-586.
[7] Jin-yi Liu, Jing-quan Tan, En-rong Mao, Zheng-he Song, Zhong-xiang Zhu. Proportional directional valve based automatic steering system for tractors[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(5): 458-464.
[8] Chang-bin Yu, Yin-qiu Wang, Jin-liang Shao. Optimization of formation for multi-agent systems based on LQR[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(2): 96-109.
[9] Mei-qin Liu, Hai-yang Chen, Sen-lin Zhang. H reference tracking control design for a class of nonlinear systems with time-varying delays[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(9): 759-768.
[10] Gurmanik Kaur, Ajat Shatru Arora, Vijender Kumar Jain. Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(6): 474-485.
[11] Salvador Ibarra-Martínez, José A. Castán-Rocha, Julio Laria-Menchaca. Optimizing urban traffic control using a rational agent[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(12): 1123-1137.
[12] Wajdi S. Aboud, Sallehuddin Mohamed Haris, Yuzita Yaacob. Advances in the control of mechatronic suspension systems[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(10): 848-860.
[13] Peng-fei Qian, Guo-liang Tao, De-yuan Meng, Hao Liu. A modified direct adaptive robust motion trajectory tracking controller of a pneumatic system[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(10): 878-891.
[14] Farnaz Sabahi, M.-R. Akbarzadeh-T. A framework for analysis of extended fuzzy logic[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(7): 584-591.
[15] Hua Zhang, Lu-ping Xu, Yang-he Shen, Rong Jiao, Jing-rong Sun. A new maximum-likelihood phase estimation method for X-ray pulsar signals[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(6): 458-469.