On the application of estimation and correction algorithms in the system for measuring vibration parameters of aircraft structural elements

A. Afonin, A. S. Sulakov, M. S. Maamo
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Abstract

Nowadays, high-precision measurement of aircraft vibration parameters during its main operations modes, including in-flight operation mode, is still considered an important scientific and technical field of study and research. These kinds of measurements are usually conducted in order to analyze the airplane vibration properties and characteristics, which serves in diagnosing the state of its structure, predicting the appearance and development of defects and deformations, as well as to prevent or avoid the influence of dangerous phenomena such as flutter, buffeting, etc. In this article, the authors present the primary results of their work to build a system designed to measure such airplane vibration parameters. In comparison with the existing analogous systems, the new proposed system makes use of traditional vibrometric measurement methods in combination with approaches typical for solving orientation and navigation problems. So, the article discusses the principles of constructing a measurement system of vibration parameters of aircraft structural elements using the example of a system for measuring aircraft wing vibrations using MEMS IMU units and data fusion technology. A brief review of the main existing solutions in this research field is carried out, and the relevance and expediency of the proposed version of the system is substantiated. The basic components and structure of the proposed system are presented, including MEMS IMU units, a displacement sensor, and an onboard navigation system. The basic principles of the system operation are described based on the use of data from the displacement sensor, inertial measurements and optimal Kalman estimation. The main algorithms for the system operation are presented, including algorithms for inertial measurements, estimation and correction, as well as the actual algorithm for calculating vibration parameters. In addition, the mathematical errors models of the main measurements units of the system are presented. The article also presents simulation results, which are encouraging, and they demonstrate the performance of the system and its expected relatively high accuracy characteristics, which in turns confirms the expected efficiency of its application and the prospects of the chosen direction of research and development.
估计与校正算法在飞机结构部件振动参数测量系统中的应用
目前,飞机主要运行模式(包括飞行中运行模式)振动参数的高精度测量仍然是一个重要的科学技术研究领域。这类测量通常是为了分析飞机的振动特性和特性,诊断其结构状态,预测缺陷和变形的出现和发展,防止或避免颤振、抖振等危险现象的影响。在这篇文章中,作者介绍了他们的工作的初步结果,以建立一个系统,旨在测量飞机的振动参数。与现有的类似系统相比,新系统将传统的测振方法与解决定位和导航问题的典型方法相结合。因此,本文以MEMS IMU单元和数据融合技术用于飞机机翼振动测量系统为例,讨论了构建飞机结构部件振动参数测量系统的原理。简要回顾了该研究领域现有的主要解决方案,并证实了所提出的系统版本的相关性和方便性。介绍了该系统的基本组成和结构,包括MEMS IMU单元、位移传感器和车载导航系统。基于位移传感器、惯性测量和最优卡尔曼估计的数据,描述了系统运行的基本原理。介绍了系统运行的主要算法,包括惯性测量、估计和校正算法,以及振动参数计算的实际算法。此外,给出了系统主要测量单元的数学误差模型。文中还给出了令人鼓舞的仿真结果,验证了系统的性能和预期的较高精度特性,从而证实了其预期的应用效率和所选择的研究和发展方向的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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