Method for diagnosing propulsion system failure based on partial least squares algorithm

Abstract

The invention provides a method for diagnosing a propulsion system failure based on a partial least squares algorithm, and belongs to the technical field of process monitoring. The method specifically comprises the following steps that first, sample data of a propulsion system are used for establishing a PLS mathematical model; second, square forecast error statistical magnitude is used for monitoring process data; third, after the failure is detected, and the position of the failure is diagnosed combined with relevant failure detecting factors. According to the PLS monitoring and diagnosing method, only the incidence relation between data is used for establishing the simple mathematical model, calculated amount can be reduced, the detecting speed is increased, and the method can be well applied to process monitoring and failure diagnosing of the propulsion system. According to the method for diagnosing the propulsion system failure based on the partial least squares algorithm, the PLS algorithm is used for establishing the model, the colinearity influence of process amount is removed, the method that the SPE statistical magnitude is quickly calculated is used, the provided relevant failure detecting factors are combined, the monitoring process is simplified, and the diagnosing task is well completed.

Description

technical field [0001] The invention belongs to the technical field of process monitoring and relates to a fault diagnosis method of a propulsion system based on a partial least square algorithm. Background technique [0002] The spacecraft propulsion system refers to the system that provides control force, control torque and small thrust for satellites, manned spacecraft, space stations, deep space probes, etc., and is used to complete terminal speed correction, attitude control, orbital maneuvering, orbital correction, rendezvous and docking , propellant management and other tasks. The propulsion system is one of the most critical subsystems on a spacecraft. Once a failure occurs, it will have a fatal impact on the completion of the mission of the spacecraft. On August 20, 2010, an engine failure occurred after the launch of the American AEHF-1 satellite, which caused the satellite to fail to reach the designated orbit; Nass-M" launch failure. [0003] With the rapid de...

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Problems solved by technology

On August 20, 2010, the American AEHF-1 satellite had an engine failure after it was launched, which caused the satellite to fail to reach the designated orbit; Nass-M" launch failure reasons

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