In the process of transient test, due to the insufficient bandwidth of the pressure sensor, the test data is inaccurate. Firstly, based on the projection of the shock tube test signal in the sparse domain, the feature expression of the signal sample is obtained. Secondly, the problem of insufficient bandwidth is solved by inverse modeling of sensor dynamic compensation system based on swarm intelligence algorithm. In this paper, the method is used to compensate the shock tube test signals of the 85XX series pressure sensors made by the Endevco company of the United States, the working bandwidth of the sensor is widened obviously, the rise time of the pressure signal can be compensated to 12.5 μs, and the overshoot can be reduced to 8.96%. The repeatability of dynamic compensation is verified for the actual gun muzzle shock wave test data, the results show that the dynamic compensation can effectively recover the important indexes such as overpressure peak value and positive pressure action time, and the original shock wave signal is recovered from the high resonance data.

中文翻译：

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基于稀疏域的压阻式压力传感器动态补偿

在瞬态测试过程中，由于压力传感器带宽不足，测试数据不准确。首先，基于冲击管测试信号在稀疏域中的投影，获得信号样本的特征表达式。其次，通过基于群体智能算法的传感器动态补偿系统逆建模，解决了带宽不足的问题。本文采用该方法对美国Endevco公司生产的85XX系列压力传感器的激波管测试信号进行补偿，传感器的工作带宽明显变宽，压力信号的上升时间可以减小。补偿至 12.5μs，并且超调可以降低到8.96％。对实际枪炮冲击波测试数据进行了动态补偿的可重复性验证，结果表明，动态补偿可以有效地恢复过压峰值，正压作用时间等重要指标，并从中恢复出原始的冲击波信号。高共振数据。