International Journal of Industrial and Manufacturing Systems Engineering

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Performance Analysis of Multi-Variable Control System Based on Data Driven

Received: 03 August 2018    Accepted: 07 September 2018    Published: 13 October 2018
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Abstract

With the development of science and technology, the control system has become an indispensable means to ensure the safe, stable and efficient operation of the process with the improvement of system capability and modernization level. As time goes on, the characteristics of industrial production process will change, resulting in the degradation of control performance, product quality decline, directly affecting economic benefits. Therefore, performance evaluation of control system is of great significance to improve control performance and economic benefits of enterprises. Combustion control system is an important and typical multivariable control system in thermal power plant. Its performance evaluation is very important for power production process. So a method and detail steps of performance analysis based on data driven for multivariable control systems are presented. Using multivariate statistical analysis, the overall performance of the system and the performance index of the individual variable are defined respectively by the generalized eigenvalue of the covariance matrix. Through the supervisory information system, the data of the combustion control system of a certain thermal power unit is obtained and the operating data for one day is analyzed using the proposed method. The results show that this method can realize the relative accuracy evaluation of the overall performance and the individual performance for each controlled variable of the control system.

DOI 10.11648/j.ijimse.20180303.11
Published in International Journal of Industrial and Manufacturing Systems Engineering (Volume 3, Issue 3, May 2018)
Page(s) 17-24
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Performance Analysis, Supervisory Information System, Multivariable Control System, Data Driven

References
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Author Information
  • School of Control Science and Engineering, North China Electric Power University, Baoding, China

  • School of Control Science and Engineering, North China Electric Power University, Baoding, China

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  • APA Style

    Shizhe Li, Yinsong Wang. (2018). Performance Analysis of Multi-Variable Control System Based on Data Driven. International Journal of Industrial and Manufacturing Systems Engineering, 3(3), 17-24. https://doi.org/10.11648/j.ijimse.20180303.11

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    ACS Style

    Shizhe Li; Yinsong Wang. Performance Analysis of Multi-Variable Control System Based on Data Driven. Int. J. Ind. Manuf. Syst. Eng. 2018, 3(3), 17-24. doi: 10.11648/j.ijimse.20180303.11

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    AMA Style

    Shizhe Li, Yinsong Wang. Performance Analysis of Multi-Variable Control System Based on Data Driven. Int J Ind Manuf Syst Eng. 2018;3(3):17-24. doi: 10.11648/j.ijimse.20180303.11

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  • @article{10.11648/j.ijimse.20180303.11,
      author = {Shizhe Li and Yinsong Wang},
      title = {Performance Analysis of Multi-Variable Control System Based on Data Driven},
      journal = {International Journal of Industrial and Manufacturing Systems Engineering},
      volume = {3},
      number = {3},
      pages = {17-24},
      doi = {10.11648/j.ijimse.20180303.11},
      url = {https://doi.org/10.11648/j.ijimse.20180303.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijimse.20180303.11},
      abstract = {With the development of science and technology, the control system has become an indispensable means to ensure the safe, stable and efficient operation of the process with the improvement of system capability and modernization level. As time goes on, the characteristics of industrial production process will change, resulting in the degradation of control performance, product quality decline, directly affecting economic benefits. Therefore, performance evaluation of control system is of great significance to improve control performance and economic benefits of enterprises. Combustion control system is an important and typical multivariable control system in thermal power plant. Its performance evaluation is very important for power production process. So a method and detail steps of performance analysis based on data driven for multivariable control systems are presented. Using multivariate statistical analysis, the overall performance of the system and the performance index of the individual variable are defined respectively by the generalized eigenvalue of the covariance matrix. Through the supervisory information system, the data of the combustion control system of a certain thermal power unit is obtained and the operating data for one day is analyzed using the proposed method. The results show that this method can realize the relative accuracy evaluation of the overall performance and the individual performance for each controlled variable of the control system.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Performance Analysis of Multi-Variable Control System Based on Data Driven
    AU  - Shizhe Li
    AU  - Yinsong Wang
    Y1  - 2018/10/13
    PY  - 2018
    N1  - https://doi.org/10.11648/j.ijimse.20180303.11
    DO  - 10.11648/j.ijimse.20180303.11
    T2  - International Journal of Industrial and Manufacturing Systems Engineering
    JF  - International Journal of Industrial and Manufacturing Systems Engineering
    JO  - International Journal of Industrial and Manufacturing Systems Engineering
    SP  - 17
    EP  - 24
    PB  - Science Publishing Group
    SN  - 2575-3142
    UR  - https://doi.org/10.11648/j.ijimse.20180303.11
    AB  - With the development of science and technology, the control system has become an indispensable means to ensure the safe, stable and efficient operation of the process with the improvement of system capability and modernization level. As time goes on, the characteristics of industrial production process will change, resulting in the degradation of control performance, product quality decline, directly affecting economic benefits. Therefore, performance evaluation of control system is of great significance to improve control performance and economic benefits of enterprises. Combustion control system is an important and typical multivariable control system in thermal power plant. Its performance evaluation is very important for power production process. So a method and detail steps of performance analysis based on data driven for multivariable control systems are presented. Using multivariate statistical analysis, the overall performance of the system and the performance index of the individual variable are defined respectively by the generalized eigenvalue of the covariance matrix. Through the supervisory information system, the data of the combustion control system of a certain thermal power unit is obtained and the operating data for one day is analyzed using the proposed method. The results show that this method can realize the relative accuracy evaluation of the overall performance and the individual performance for each controlled variable of the control system.
    VL  - 3
    IS  - 3
    ER  - 

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