Multivariable time-lag parameter estimation method based on FIR (Finite Impulse Response) model identification

A technology of parameter estimation and model identification, applied in digital technology networks, impedance networks, electrical components, etc., can solve problems such as poor applicability and low accuracy

Inactive Publication Date: 2010-12-22
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] In order to overcome the shortcomings of poor applicability and low precision of existing multivariable time-delay parameter estimation methods, the present invention provides a multivariable time-delay parameter estimation method based on FIR model identification with good applicability and high precision

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  • Multivariable time-lag parameter estimation method based on FIR (Finite Impulse Response) model identification
  • Multivariable time-lag parameter estimation method based on FIR (Finite Impulse Response) model identification
  • Multivariable time-lag parameter estimation method based on FIR (Finite Impulse Response) model identification

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[0067] The present invention will be further described below in conjunction with the accompanying drawings.

[0068] refer to Figure 1~Figure 4 , a multivariate time-delay parameter estimation method based on FIR model identification, the specific steps are as follows:

[0069] Step 101: Collecting input and output data of the system. Perform open-loop test experiments on multivariable systems to obtain relevant input and output data.

[0070] Step 102: Perform FIR model identification on the collected data.

[0071] Considering the m-input n-output model, each output is affected by m inputs, then the whole system is composed of n m-input single-output. Therefore, the identification of the FIR model in the case of MIMO needs to be performed n times. The following is an illustration of the case of m input and n output.

[0072] For the jth output , where, 1≤j≤n, given its FIR model as formula (1):

[0073]

[0074] Indicates the first the first output variable ...

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Abstract

The invention discloses a multivariable time-lag parameter estimation method based on FIR (Finite Impulse Response) model identification, comprising the following steps of: step 101, collecting the input and output data of a system; step 102, carrying out the FIR model identification on the collected data to obtain a system step response coefficient and a step response curve; step 103, selecting threshold to be delta%(infinity); step 104, judging whether the fluctuation of a time-lag phase in the step response curve is in the threshold range or not; if the fluctuation does not exceed the threshold range, carrying out the step 105; otherwise, carrying out the step 103 to reselect a threshold; step 105, obtaining the first intersected point between the threshold and the step response curve; step 106, if t is judged to be larger than t1 and smaller than t2, carrying out a step 107 to obtain corresponding time-lag estimation value; otherwise, if the horizontal coordinator value t indicated by the intersected point is arranged on a sampling point t1 or t2, judging that the time-lag parameter estimation value zeta to be the sampling point t1 or t2; and step 107, obtaining the time-lag parameter estimation value zeta=t1. The invention has good applicability and high precision.

Description

technical field [0001] The invention relates to a time-delay parameter estimation method for a multivariable system. Background technique [0002] In complex industrial processes such as chemical industry, oil refining, metallurgy and paper making, time lag phenomenon widely exists. The main reasons for the time lag are: the measurement of system variables, the physical properties of equipment in the system, and the transmission of objects or signals. In actual engineering control problems, sometimes the lag is omitted in the design or model of the system because the lagging system has little influence. But in more practical projects, hysteresis cannot be omitted, such as boiler temperature control in chemical process control, there is no output response after 2~3 hours after inputting a control signal. Due to the existence of time lag, the controlled variable cannot reflect the influence of the input variable of the system in time, so that the control system produces obvi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H17/02
Inventor 邹涛洪艳萍何熊熊张端赵东亚赵燕伟
Owner ZHEJIANG UNIV OF TECH
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