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Recursion least square self-adaptive filtering method for alternating-current electric signals of gas-solid two-phase flows

A recursive least squares and adaptive filtering technology, which is applied in the direction of digital adaptive filters, adaptive networks, electrical components, etc., can solve the problem of low measurement accuracy of gas-solid two-phase flow parameters, and achieve strong pertinence and parameter accuracy. accurate effect

Inactive Publication Date: 2017-11-10
XIAN UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a gas-solid two-phase flow AC signal recursive least squares adaptive filtering method to solve the problem of low measurement accuracy of gas-solid two-phase flow parameters

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  • Recursion least square self-adaptive filtering method for alternating-current electric signals of gas-solid two-phase flows
  • Recursion least square self-adaptive filtering method for alternating-current electric signals of gas-solid two-phase flows
  • Recursion least square self-adaptive filtering method for alternating-current electric signals of gas-solid two-phase flows

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[0026] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0027] The present invention is a gas-solid two-phase flow AC signal recursive least squares adaptive filtering method, such as figure 1 As shown, x(k), x(k-1), x(k-2),..., x(k-N+1) are the previous sequence X(k) of gas-solid two-phase flow AC signal sequence at time k N values, y(k) are x(k), x(k-1), x(k-2),...,x(k-N+1) after a finite-length unit impulse response (FIR) filter The resulting output signal, w 0 (k),w 1 (k),...,w N-1 (k) is the filter weight at time k, and the error signal e(k) is the difference between the gas-solid two-phase flow AC signal x(k) and the FIR filter output signal y(k) at time k, according to the recursive least squares The objective function of Deduce the weight sequence update formula w(k+1)=w(k)+e(k)S at the next moment D (k)X 1 (k), adjust the weight sequence w of the FIR filter through the weight upda...

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Abstract

The invention discloses a recursion least square self-adaptive filtering method for the alternating-current electric signals of gas-solid two-phase flows. The method comprises the steps of 1, collecting the alternating-current electric signals X1(k) and X2(k) of upstream and downstream gas-solid two-phase flows; 2, subjecting the alternating-current electric signals X1(k) and X2(k) of upstream and downstream gas-solid two-phase flows to recursion least square self-adaptive filtering treatment for the alternating-current electric signals of gas-solid two-phase flows by adopting the recursion least square self-adaptive filtering method so as to obtain filtered upstream and downstream signals Y1(k) and Y2(k); 3, subjecting the filtered upstream and downstream signals Y1(k) and Y2(k) obtained in the step 2 to cross-correlation speed measurement operation, so as to obtain a measurement value on the flow velocity of solid-phase particles in gas-solid two-phase flows. The method can be used for processing the alternating-current electric signals of gas-solid two-phase flows. By adopting the method, the processed alternating-current electric signals of upstream and downstream gas-solid two-phase flows are subjected to operation and analysis based on the cross-correlation speed measurement algorithm. Therefore, the measured parameters of the gas-solid two-phase flows are more accurate and more stable.

Description

technical field [0001] The invention belongs to the technical field of signal detection, and in particular relates to a recursive least squares self-adaptive filtering method for gas-solid two-phase flow AC signals. Background technique [0002] The flow parameters of gas-solid two-phase flow mainly include the flow velocity, concentration, and mass flow rate of solid particles in gas-solid two-phase flow. Accurate measurement of gas-solid two-phase flow parameters can improve the production safety and production efficiency of pneumatic conveying related industries and departments. As well as reducing energy consumption and saving energy has very positive significance. [0003] The gas-solid two-phase flow signal detected by the electrostatic sensor is a weak signal at the microvolt level. In a complex and harsh industrial site environment, the weak signal is extremely susceptible to noise interference, resulting in a deviation in the signal-to-noise ratio of the gas-solid t...

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Application Information

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IPC IPC(8): G01P5/08G06F17/18H03H21/00H03H17/00
CPCG01P5/083G06F17/18H03H17/00H03H21/0012H03H21/0043H03H2017/0081H03H2021/005H03H2021/009
Inventor 弋英民胡香儒
Owner XIAN UNIV OF TECH
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