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Systems and methods for initializing dynamic model states using a Kalman filter

机译:使用卡尔曼滤波器初始化动态模型状态的系统和方法

摘要

Embodiments of the invention can provide systems and methods for initializing dynamic model states using a Kalman or similar type filter. In one embodiment, a system for controlling a gas turbine engine is provided. The system can include at least one sensor adapted to obtain dynamic-type information about a current state of the engine. The system can also include an engine model adapted to receive information from the sensor, and further adapted to reflect the current state of the engine. Furthermore, the system can include a model filter adapted to initialize the engine model with at least a portion of the dynamic-type information, wherein at least one value based at least in part on the filtered dynamic-type information is input to the engine model to determine an engine control action.
机译:本发明的实施例可以提供用于使用卡尔曼或类似类型的滤波器来初始化动态模型状态的系统和方法。在一个实施例中,提供了一种用于控制燃气涡轮发动机的系统。该系统可以包括至少一个传感器,该至少一个传感器适于获得关于发动机当前状态的动态类型信息。该系统还可以包括发动机模型,该发动机模型适于从传感器接收信息,并且还适于反映发动机的当前状态。此外,该系统可以包括模型滤波器,该模型滤波器适于使用至少一部分动态类型信息来初始化发动机模型,其中至少部分基于滤波后的动态类型信息的至少一个值被输入到发动机模型。确定发动机控制动作。

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