Research on Identification Algorithm of Cascade Control System
Aiming at the problem of object model identification of modern industrial process control systems, a new closed-loop moment parameter identification online method based on the data of normal operation of the running system is proposed. In this method, only one step response data of the system is req...
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Veröffentlicht in: | Mathematical problems in engineering 2022-11, Vol.2022, p.1-13 |
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creator | Ding, Damin Wang, Yagang Zhang, Wei Chu, Wei |
description | Aiming at the problem of object model identification of modern industrial process control systems, a new closed-loop moment parameter identification online method based on the data of normal operation of the running system is proposed. In this method, only one step response data of the system is required, and appropriate convergence factors are introduced into the Laplace formula, the trapezoidal integral method is used to calculate the values of two derivatives of the transfer function, then the four unknown parameters of the second-order model can be solved by fitting the data with the least square method, and the target model can be identified. Finally, the simulation results of building different objects through Matlab show that the identification method has general applicability and good robustness with high recognition, and it is not sensitive to noise signals. |
doi_str_mv | 10.1155/2022/3997081 |
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In this method, only one step response data of the system is required, and appropriate convergence factors are introduced into the Laplace formula, the trapezoidal integral method is used to calculate the values of two derivatives of the transfer function, then the four unknown parameters of the second-order model can be solved by fitting the data with the least square method, and the target model can be identified. 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This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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In this method, only one step response data of the system is required, and appropriate convergence factors are introduced into the Laplace formula, the trapezoidal integral method is used to calculate the values of two derivatives of the transfer function, then the four unknown parameters of the second-order model can be solved by fitting the data with the least square method, and the target model can be identified. 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subjects | Algorithms Cascade control Closed loop systems Closed loops Control systems Fuzzy logic Identification methods Magnetic fields Mathematical models Methods Neural networks Noise sensitivity Parameter identification Step response Transfer functions Water temperature |
title | Research on Identification Algorithm of Cascade Control System |
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