Fault-tolerant CKF filtering fusion method applied to flight test data analysis

Abstract

The invention relates to a fault-tolerant CKF filtering fusion method applied to flight test data analysis. The method generally comprises the following three parts: in the first part, system modelingis performed according to an actual moving target; in the second part, a fault-tolerant CKF filter related to multiplicative noise is designed according to multiplicative noise correlation and faultproblems existing in the measurement system in the complex engineering environment; and in the third part, an improved filtering fusion method is provided according to the defects of a non-reset federated filter. According to the method, the filtering estimation problem related to multiplicative noise can be solved, the situation that the system breaks down can be dealt with, meanwhile, the extreme situation that all sub-filters break down can be dealt with, the fault tolerance of the system is greatly improved, and the precision of flight test data is guaranteed.

Description

technical field [0001] The invention relates to a fault-tolerant CKF filter fusion method applied in flight test data analysis, belonging to the field of target tracking. Background technique [0002] The flight experiment test is of great significance in evaluating the quality and performance of the aircraft. Using the actual flight data collected during the measurement process to analyze the state tracking trajectory of the aircraft is an important means to evaluate the performance of the aircraft. High-precision target tracking data is essential for evaluation and It is extremely important to analyze the quality and stability of the aircraft during operation. [0003] Aircraft and measurement equipment will be interfered by complex environment, equipment range and communication electromagnetic waves during operation, so that the actual flight test data obtained will be polluted by noise and cannot be used directly. In order to solve the problem of noise interference, the...

AI Technical Summary

Problems solved by technology

However, the traditional non-reset federated filter also faces two problems: First, after the fault subsystem is isolated, because the fault subsystem cannot obtain the result of fusion estimation, it can no longer perform fault detection and will always be isolated resulting in Waste of sensor resources will also affect fusion stability

Second, in the event that all subsystems fail, fusion estimation will not be able to continue

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