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| Automatic Optimization Method for Terminal Peak Sawtooth Shock Pulse Test Conditions of Shock Environment |
| Received:August 02, 2023 Revised:September 17, 2023 |
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| DOI：10.7643/issn.1672-9242.2023.12.017 |
| KeyWord:shock environment terminal peak sawtooth shock pulse shock response spectrum adaptive differential evolution algorithm automatic optimization |
| Author | Institution |
| CHEN Jiang-pan |
Beijing Institute of Electronic System Engineering, Beijing , China |
| LIU Yan |
Beijing Institute of Electronic System Engineering, Beijing , China |
| WANG Zeng-kai |
Beijing Institute of Electronic System Engineering, Beijing , China |
| LIU Yi |
Beijing Institute of Electronic System Engineering, Beijing , China |
| SUN Li-min |
Beijing Institute of Electronic System Engineering, Beijing , China |
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| Abstract: |
| The work aims to propose an automatic optimization method for terminal peak sawtooth shock pulse test conditions of shock environment to avoid "over-test". Firstly, the logarithmic distance was proposed to quantitatively evaluate the goodness of fit between two shock response spectra according to both the basic principle and spectrum characteristics of shock response spectra. Secondly, shock response spectrum analysis was carried out on both the shock environment and the terminal peak sawtooth shock pulse. According to the analysis results obtained, via setting the logarithmic distance between the two spectra as the optimization goal and the wave parameters of terminal peak sawtooth shock pulse as the optimization parameters, the automatic optimization method for terminal peak sawtooth shock pulse test conditions of shock environment was established based on adaptive differential evolution algorithm. The proposed method was applied in a simulated shock environment and a measured shock environment respectively. The reasonable terminal peak sawtooth shock pulse test conditions obtained verified the correctness of the method proposed. As a consequence, the proposed automatic optimization method for terminal peak sawtooth pulse test conditions in shock environments based on adaptive differential evolution algorithm is correct and feasible. |
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