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Application of a Constant Gain Extended Kalman Filter for In-Flight Estimation of Aircraft Engine Performance Parameters

机译:恒定增益扩展卡尔曼滤波器在飞机发动机性能参数飞行中估计中的应用

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摘要

An approach based on the Constant Gain Extended Kalman Filter (CGEKF) technique is investigated for the in-flight estimation of non-measurable performance parameters of aircraft engines. Performance parameters, such as thrust and stall margins, provide crucial information for operating an aircraft engine in a safe and efficient manner, but they cannot be directly measured during flight. A technique to accurately estimate these parameters is, therefore, essential for further enhancement of engine operation. In this paper, a CGEKF is developed by combining an on-board engine model and a single Kalman gain matrix. In order to make the on-board engine model adaptive to the real engine s performance variations due to degradation or anomalies, the CGEKF is designed with the ability to adjust its performance through the adjustment of artificial parameters called tuning parameters. With this design approach, the CGEKF can maintain accurate estimation performance when it is applied to aircraft engines at offnominal conditions. The performance of the CGEKF is evaluated in a simulation environment using numerous component degradation and fault scenarios at multiple operating conditions.
机译:研究了一种基于恒定增益扩展卡尔曼滤波器(CGEKF)技术的方法,用于在飞行中评估飞机发动机的不可测量的性能参数。性能参数(例如推力和失速裕度)为安全高效地操作飞机发动机提供了至关重要的信息,但无法在飞行过程中直接测量它们。因此,准确估计这些参数的技术对于进一步增强发动机操作至关重要。在本文中,通过结合车载发动机模型和单个卡尔曼增益矩阵来开发CGEKF。为了使车载发动机模型适应由于降级或异常引起的实际发动机性能变化,CGEKF被设计为具有通过调整称为调整参数的人工参数来调整其性能的能力。通过这种设计方法,CGEKF在名义条件下应用于飞机发动机时,可以保持准确的估算性能。 CGEKF的性能是在仿真环境中使用多种运行条件下的大量组件退化和故障情况进行评估的。

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