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Floquet-SSI Methods for Real-Time Stability Monitoring and Correlation

机译：实时稳定性监测和相关的Floquet-SSI方法

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Improved methods for real-time stability monitoring are needed in the rotorcraft industry to support the design and testing of new aircraft rotors, as well as updates to existing rotors. Current validated approaches require significant effort on the part of the user and can only be applied to a very specific data sequence. This combination of factors can be a significant cost driver in the development cycle. In this paper we demonstrate the combined use of Floquet analysis with Stochastic Subspace Identification (SSI) methods to address these deficiencies. This novel approach allows for the use of more robust subspace identification methods and provides an effective means of removing main rotor harmonics from the measured loads. All of this leads to highly accurate, precise and real-time estimates of rotor stability and modal data. These estimates can ultimately be used to "close the loop" in efforts to correlate computational structural dynamic simulation results with flight test and whirl stand test data, improving the fidelity of existing simulation models.
机译：旋翼飞机行业需要用于实时稳定性监控的改进方法，以支持新飞机旋翼的设计和测试，以及对现有旋翼的更新。当前经过验证的方法需要用户付出大量努力，并且只能应用于非常特定的数据序列。这些因素的组合可能是开发周期中重要的成本驱动因素。在本文中，我们演示了Floquet分析与随机子空间识别（SSI）方法的结合使用，以解决这些缺陷。这种新颖的方法允许使用更强大的子空间识别方法，并提供了一种从测量的负载中消除主转子谐波的有效方法。所有这些都可以对转子稳定性和模态数据进行高度准确，精确和实时的估算。这些估算最终可用于“闭环”，以使计算结构动态仿真结果与飞行测试和旋转座测试数据相关联，从而提高现有仿真模型的保真度。

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