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| Research on the Method of Solving Displacement by Integrating Acceleration Signal |
| Received:July 17, 2021 Revised:August 22, 2021 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2021.12.008 |
| KeyWord:dynamic environment test acceleration displacement integral error |
| Author | Institution |
| PANG Jia-zhi |
Institute 201 of the Second Academy of China Aerospace Science & Industry Corp, Beijing , China |
| SUN Jia-chuan |
Institute 201 of the Second Academy of China Aerospace Science & Industry Corp, Beijing , China |
| LIU Ze-feng |
Institute 201 of the Second Academy of China Aerospace Science & Industry Corp, Beijing , China |
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| Abstract: |
| This paper studies two acceleration signal integration methods to solve displacement in time domain integration algorithm and frequency domain integration algorithm in dynamic environment test analysis. In the dynamic environment test, different algorithms are used to perform quadratic integration processing on the acceleration signal collected at the measuring point of the test product to calculate and solve the displacement. In the acquisition process, the laser sensor is used to measure the displacement. Based on the measurement results of laser displacement sensor, the accuracy, error sources, advantages and disadvantages and application scope of two different integral methods is compared and analyzed. Under different working conditions of dynamic environment test, the displacement data obtained by two different integration methods are basically coincident with the laser measurement data and the maximum error of displacement obtained by two kinds of integral methods is less than 5%. These all meet the needs of practical application. The time domain integration algorithm is greatly affected by noise and DC component error. The result of frequency domain integration algorithm is more accurate relatively, but it is greatly affected by low frequency error and it has low frequency sensitivity. In the dynamic environment test, the time domain integration algorithm is suitable for the case that the noise and DC component can be ignored. And the frequency domain integral algorithm is suitable for the case of small low frequency error. After necessary and effective preprocessing of acceleration signal data, the displacement results obtained by time domain integration algorithm and frequency domain integration algorithm have high accuracy. Therefore, both methods can meet the actual test requirements of general engineering. |
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