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Multivariable system model identification method

A technology of system model and identification method, which is applied in general control systems, control/regulation systems, instruments, etc., can solve the problems of difficult identification of multivariable systems, and achieve the effect of simple identification method and high identification accuracy

Inactive Publication Date: 2020-04-10
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0005] In order to solve the above-mentioned problems, and aiming at the problem that multivariable systems are difficult to identify, the present invention proposes an identification method that is effective in engineering applications, and adopts the following technical solutions:

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Embodiment Construction

[0044] The following describes the specific implementation of the present invention with reference to the drawings and examples

[0045]

[0046] Figure 2 is a low-temperature reheater system model of an embodiment of the present invention.

[0047] Taking a 660MW once-through boiler in a power plant as an example, its structure is shown in Figure 2. Divide the reheat temperature model into inlet temperature T 1 , Three transfer function channels of feed water flow rate D and baffle opening degree F for system identification, the output is the outlet temperature T of the low temperature reheater 2 .

[0048] According to several days of field operation data stored in the distributed control system database, four pieces of historical data are filtered out, as shown in the figure, 3a) is the field operation data from 10:00-11:23 on March 31, 2015, 3b) It is the on-site operating data from 15:30-16:53 on March 31, 2015, 3c) is the on-site operating data from 22:10-23:33 on March 31, 20...

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Abstract

The invention provides a multivariable system model identification method, which aims at the problem that a multivariable system is not easy to identify in engineering application. The multivariable system model identification method comprises the steps of: summarizing M groups of identification data under the irrelevant excitation condition for a multivariable system with M inputs; setting a transfer function matrix G(s) of the multivariable system; carrying out model identification on the selected multivariable system structure model by adopting a particle swarm optimization algorithm; solving parameters of the transfer function matrix G(s) to obtain a transfer function matrix G(s); and finally acquiring a fitted best equivalent model of the measured system. After verification, the multivariable system model identification method is simple and easy to implement and high in identification precision, and has engineering application value.

Description

Technical field [0001] The invention belongs to the field of control science and engineering, and relates to a multivariable system model identification method. Background technique [0002] With the development of science and technology and social economy, modern industrial equipment is becoming larger and more complicated. The production process composed of many links generally has coupling and correlation between links. This kind of coupling and association is manifested in that a certain input variable of the system will affect multiple output variables at the same time, or a certain output variable will be affected by multiple input variables. This kind of coupling and correlation has become a key and difficult factor affecting the modeling and control of multivariable systems. [0003] At present, in the actual implementation of multivariable system identification projects, the single variable identification method that only uses a set of data for identification is commonly ...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 徐春梅杨平彭道刚康英伟蔡雨晴
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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