Load Distributed Fiber Identification Method Based on Adaptive and Iterative Algorithm

Abstract

The invention discloses a load distributed optical fiber identification method based on self-adaptation and an iterative algorithm, and belongs to the field of monitoring of health of structures. Theload distributed optical fiber identification method based on self-adaptation and the iterative algorithm comprises the following steps: step one, using a finite element method to obtain a discrete state equation of a beam structure; step two, responding signal acquisition on the basis of aerodynamic loading-strain of a distributed optical fiber sensor; step three, carrying out inversion on the basis of aerodynamic loading distributed states of a kalman filter and a load estimator; step four, adjusting noise characteristic parameters Q and R and convergence characteristics in an aerodynamic load distribution inversion process in step three by Sage-Husa self-adaptation and iteration to obtain Q and R parameter optimal values separately; step five, substituting the parameters Q and R obtained by optimization in step four into an algorithm in step three as a reference parameter of a sampling time next time; and step six, successively and repeatedly circulating the process according to thesequence from step two to step five. The rate of convergence and real-time estimation precision to dynamic load are improved. The load distributed optical fiber identification method based on self-adaptation and the iterative algorithm has the characteristics of simplicity, convenience, high instantaneity and the like.

Description

technical field [0001] The invention belongs to the field of structural health monitoring, and proposes a load distributed optical fiber identification method based on an adaptive and iterative algorithm. Background technique [0002] In aerospace structure design and health status monitoring, load identification can ensure the design safety of the structure, monitor the health status of the structure in real time, and provide a reliable guarantee for the safe service of aerospace vehicles. [0003] The methods of dynamic load identification are divided into direct measurement method and indirect identification method. The former is to directly measure the load itself or the parameters related to the load through the sensor to determine the size of the load. However, in most practical engineering applications, the dynamic load cannot pass Obtained by direct measurement, such as the thrust suffered by the rocket in flight, the load of the explosion shock, the aerodynamic load...

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Problems solved by technology

[0005] At present, the load identification algorithm has not been fully studied in real-time estimation. In order to estimate the aerodynamic load in real time, a new load identification algorithm is proposed here. This algorithm has good noise processing ability and real-time display characteristics, and can be integrated with the system control Perfect combination, good engineering application value

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