Time domain calibration method for high-frequency base force balance signal
A calibration method and balance technology, applied in the field of instrument calibration, can solve problems such as inability to perform time-history analysis, inability to obtain aerodynamic load time-history data, and inability to process real-time data online, achieving the effect of real-time online decoupling
Active Publication Date: 2021-04-09
SOUTH CHINA UNIV OF TECH
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[0006] Among the above methods, method 1 adopts the frequency domain method, which can only correct the power spectrum of the uncoupled signal aerodynamic load in the frequency domain, but cannot obtain the time history data of the corrected aerodynamic load, and cannot perform time history analysis
Method 2 uses a batch processing algorithm to decouple the signal, but this algorithm is an offline algorithm, and all data is used for each operation, and the data cannot be processed online in real time
To sum up, although existing methods 1 and 2 can perform effective dynamic calibration on uncoupled and coupled signals respectively, there are still deficiencies
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[0061] The present invention will be further described in detail through specific embodiments below, but the embodiments of the present invention are not limited thereto.
[0062] A method for time-domain calibration of high-frequency base force balance signals such as figure 1 shown, including:
[0063] Step 1: Input observation signal x(t)=[x(1),x(2),...,x(k)].
[0064] Step 2: Decouple the observed signal x(t) in real time to obtain the decoupled modal signal q(t).
[0065] In one embodiment, the process of decoupling the measurement signal in real time is as figure 2 shown, including:
[0066] Step 2-1: Initialize signal separation matrix B 0 , set the iteration step size μ(k).
[0067] Step 2-2: Receive the observation signal x(t) point by point in real time, and iterate the received observation signal.
[0068] Step 2-3: Update the signal separation matrix point by point:
[0069] B(k+1)=B(k)+μ(k)[I-y(k)y T (k)-g(y(k))y T (k)+y(k)g T (y(k))]B(k);
[0070] Whe...
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The invention belongs to the technical field of instrument calibration, and discloses a time domain calibration method for a high-frequency base force balance signal. The method comprises the following steps: 1, inputting an observation signal x(t); 2, decoupling the observation signal x(t) in real time to obtain a decoupled modal signal q(t); 3, performing modal parameter identification on the modal signal q(t) under the modal coordinates; 4, constructing a digital filter to correct the modal signal q(t) according to a modal parameter identification result; and 5, obtaining a corrected aerodynamic load time history y(t) through back-stepping according to the corrected modal signal. According to the invention, an adaptive blind source separation algorithm is adopted to carry out online decoupling on a measurement signal, natural vibration frequency and modal damping ratio identification is carried out on a modal signal obtained through decoupling, a corresponding digital filter is further constructed, a corrected real aerodynamic load time history is finally obtained, and further time history analysis is facilitated. The defects that an existing correction method can only decouple signals in an off-line mode and cannot obtain the corrected aerodynamic load time history are overcome.
Description
technical field [0001] The invention belongs to the technical field of instrument calibration, and relates to a time-domain calibration method for a high-frequency base force balance signal. Background technique [0002] The high frequency base force balance (HFFB) method is one of the main technical means to evaluate the wind load and wind-induced response of super high-rise buildings. However, this method also has its own shortcomings. The balance model system (BMS) often has a dynamic amplification effect on the measured aerodynamic load. In order to obtain accurate aerodynamic load, a correction method should be used to eliminate this signal distortion and obtain a wider frequency band. aerodynamic signal. HFFB belongs to the category of multi-component balance. Due to the mutual coupling between the components of the balance, the difficulty of signal correction is further increased. Therefore, it is necessary to decouple the coupled measurement signal before signal cor...
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IPC IPC(8): G01G23/01
CPCG01G23/01
Inventor 胡晓琦谢壮宁张乐乐石碧青
Owner SOUTH CHINA UNIV OF TECH
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