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

Shizhe Li; Yinsong Wang

doi:doi:10.11648/j.ijimse.20180303.11

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

Shizhe Li, Yinsong Wang

Published in International Journal of Industrial and Manufacturing Systems Engineering (Volume 3, Issue 3)

Received: 3 August 2018 Accepted: 7 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.

Published in	International Journal of Industrial and Manufacturing Systems Engineering (Volume 3, Issue 3)
DOI	10.11648/j.ijimse.20180303.11
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), 2018. Published by Science Publishing Group

Keywords

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

References

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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://article.sciencepublishinggroup.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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Author Information

Shizhe Li

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

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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://article.sciencepublishinggroup.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}
}

Copy | Download

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  -

Copy | Download