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Attenuated Chamber-Pressure Signal Reconstruction Using Maximum-Likelihood Estimation and Optimal Deconvolution
Journal of Spacecraft and Rockets ( IF 1.3 ) Pub Date : 2021-01-28 , DOI: 10.2514/1.a34897
Stephen A. Whitmore 1 , Evan M. Zelesnik 1
Affiliation  

Chamber pressure, as it develops during rocket combustion, strongly correlates with many of the internal motor ballistic properties, including combustion stability, fuel regression rate, and mass flow. Chamber pressure is also an essential measurement for calculating achieved thrust coefficient and characteristic velocity. Because of the combustion environment hostility, sensing chamber pressure with high fidelity presents a difficult measurement problem, especially for solid and hybrid rocket systems, where combustion by-products contain high amounts of carbon and other sooty materials. These contaminants tend to deposit within the pneumatic tubing used to transmit pressure oscillations from the thrust chamber to the sensing transducer. Partially clogged transmission tubes exhibit significant response latency and damp high-frequency pressure oscillations that may be of interest to the testers. A maximum-likelihood method for fitting a second-order model to chamber-pressure response is presented. The resulting model is subsequently used to reconstruct a high-fidelity motor response via optimal deconvolution. The method is applied to small hybrid-thruster results from three separate testing campaigns. Key performance parameters, such as thrust coefficient, characteristic velocity, and specific impulse, are recalculated using the reconstructed data. Results are compared to the unreconstructed data and are shown to exhibit consistently better agreement with theoretical predictions.



中文翻译:

使用最大似然估计和最佳去卷积的衰减室压信号重建

在火箭燃烧过程中产生的腔室压力与许多内部电机弹道特性密切相关,包括燃烧稳定性,燃料退化率和质量流量。腔室压力也是用于计算获得的推力系数和特征速度的必要测量。由于燃烧环境的不利影响,以高保真度感测腔室压力提出了一个困难的测量问题,特别是对于固体和混合火箭系统,在该系统中,燃烧副产物含有大量的碳和其他煤质材料。这些污染物倾向于沉积在用于将压力振荡从推力腔传递到传感传感器的气动管道内。部分堵塞的传输管表现出显着的响应延迟和潮湿的高频压力振荡,这可能是测试人员感兴趣的。提出了一种将二阶模型拟合至腔室压力响应的最大似然法。随后将所得模型用于通过最佳去卷积重建高保真电动机响应。该方法适用于来自三个独立测试活动的小型混合动力推进器结果。使用重建的数据重新计算关键性能参数,例如推力系数,特征速度和比冲。将结果与未重建的数据进行比较,并显示出与理论预测始终一致的更好的一致性。提出了一种将二阶模型拟合至腔室压力响应的最大似然法。随后将所得模型用于通过最佳去卷积重建高保真电动机响应。该方法适用于来自三个独立测试活动的小型混合动力推进器结果。使用重建的数据重新计算关键性能参数,例如推力系数,特征速度和比冲。将结果与未重建的数据进行比较,并显示出与理论预测始终一致的更好的一致性。提出了一种将二阶模型拟合至腔室压力响应的最大似然法。随后将所得模型用于通过最佳去卷积重建高保真电动机响应。该方法适用于来自三个独立测试活动的小型混合动力推进器结果。使用重建的数据重新计算关键性能参数,例如推力系数,特征速度和比冲。将结果与未重建的数据进行比较,并显示出与理论预测始终一致的更好的一致性。使用重建的数据重新计算关键性能参数,例如推力系数,特征速度和比冲。将结果与未重建的数据进行比较,并显示出与理论预测始终一致的更好的一致性。使用重建的数据重新计算关键性能参数,例如推力系数,特征速度和比冲。将结果与未重建的数据进行比较,并显示出与理论预测始终一致的更好的一致性。

更新日期:2021-01-29
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