Aero-engine analysis redundancy calculation method based on short-time data

Abstract

The invention provides an aero-engine analysis redundancy calculation method based on short-time data, and belongs to the field of engine control. The method comprises the steps of firstly determiningthe structure of an engine sensor measurement signal matrix at the current moment; determining a to-be-estimated sensor measurement signal at the current moment, loading all other sensor measurementsignal data except the to-be-estimated sensor measurement signal at the current moment into the measurement signal matrix, and generating a corresponding current moment observation matrix; estimatinga subspace at the current moment through iteration; and calculating to obtain the analytical redundancy of the measurement signal of the sensor to be estimated at the current moment. Engine short-timedata is used for calculation, and a large amount of operation data does not need to be collected in advance; the method only depends on analysis of general properties of the engine, has a good effecton engines of different models and different health conditions, and has a very high application value.

Description

technical field [0001] The invention relates to an aeroengine analytical margin calculation method based on short-term data, which belongs to the field of engine control. Background technique [0002] The analytical redundancy technology estimates the sensor measurement signals through the connection between the sensor measurement signals, so as to provide redundant backup for the corresponding sensors and improve the safety of the entire system. [0003] With the development of engine digital electronic control technology, airborne electronic equipment has higher storage and computing capabilities, making it possible to apply analytical redundancy technology to aeroengines. Compared with hardware redundancy technology, analytical redundancy has the advantages of small space occupation, easy formation of heterogeneous redundancy, and convenient modification and maintenance. With the help of analytical redundancy and fault diagnosis software, the validity of sensor signals ca...

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Problems solved by technology

[0005] 1) The determination of model parameters requires accurate design details or a large number of physical experiments, and the above conditions are difficult to meet at the initial stage of design;

[0006] 2) The relationship between form and material parameters is not clear enough, and it is difficult to adjust model parameters when there is design improvement or performance degradation

[0008] 1) It is necessary to use a large amount of data for training, and the amount of data in the early stage of product development is difficult to meet;

[0009] 2) Insufficient generalization ability for situations outside the training range, and limited applicable situations

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