Synthesis of the Optimal Observer in the Absence of Apriori Information About the Noise Characteristics of the Automatic Control and Monitoring System of a Turbofan Engines
Abstract:The possibility of obtaining measuring in-formation about the parameters of the automatic control and monitoring system of a turbofan engine during its operation in flight conditions and almost no restrictions on computational costs enable using algo-rithmic methods to improve the engine fault tolerance. In the previous article, the optimal observer, the Kalman filter, was used as a reserve meter. Its functioning essentially depends on the probabilistic characteristics of the system noise, which is known appro… Show more
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