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阵风减缓系统可以有效降低机翼的阵风载荷,然而由于系统本身以及失效模式中存在大量不确定性,极大地增加了设计和审定的复杂程度。通过蒙特卡洛方法研究了阵风减缓系统传感器卡死失效的影响,考虑阵风输入和失效传感器的不确定性,以通用运输机模型为算例,分别在时域和频域内对1-cosine离散阵风和冯·卡门谱连续湍流的翼尖加速度响应进行了仿真计算,给出了在系统正常工作和失效时翼尖加速度最大/最小值以及功率谱密度均方根的概率分布。为阵风减缓系统的适航符合性验证及审定中系统失效影响分析提供了指导方法和技术支持。
Gust mitigation systems can effectively reduce wing gust loads, however, due to the large number of uncertainties in the system itself as well as in failure modes, greatly increasing the complexity of design and validation. Monte Carlo method is used to study the effect of sensor jamming failure in gust mitigation system. Considering the uncertainties of gust input and failure sensor, the general transport model is taken as an example to study the effects of 1-cosine discrete gust and The von Karman spectrum of continuous turbulent wingtip acceleration response was simulated and the probability distribution of the maximum / minimum value of wingtip acceleration and root mean square of power spectral density was given in the normal working and failure of the system. It provides guidance and technical support for the certification of airworthiness compliance of the gust mitigation system and the analysis of the impact of system failure during validation.