用于无人机的微机电惯性测量装置分析

IF 0.4 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
A. Mammadov
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引用次数: 0

摘要

通常,惯性导航系统(INS)用于确定物体相对于地球表面移动的位置、速度和方向。无人机的导航信息(位置、速度和方向)是控制其飞行所必需的。由于惯性导航系统对干扰的抵抗力非常高,因此可以确保在高强度噪声条件下的可靠飞行。本文探讨了作为惯性导航系统一部分的惯性测量单元(IMU)的构建原理,并指出了其发展方向。本文研究了微机电惯性测量单元,并开发了将惯性测量单元连接到微控制器的功能电路和主要电路。使用创建的实验室设备获得了未校准和校准后单元的实际测量结果。基于所获得的结果,揭示了传感器校准的必要性,并通过使用卡尔曼滤波算法进行校准来提高精度。卡尔曼滤波器是导航系统的核心。在低成本系统中,IMU误差(如偏置、比例因子误差和随机游动噪声)主导了INS误差的增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF MICRO-ELECTROMECHANICAL INERTIAL MEASUREMENT UNITS FOR UNMANNED AERIAL VEHICLE APPLICATIONS
Typically, an inertial navigation system (INS) is used to determine the position, speed, and orientation of an object moving relative to the earth's surface. The navigation information (position, speed and orientation) of an unmanned aerial vehicle (UAV) is needed to control its flight. Since the resistance of INS to interferences is very high, it is possible to ensure reliable flights in conditions of high-intensity noise. This article explores the principles of constructing inertial measurement units (IMU) that are part of the INS and indicates perspective directions for their development. Micro-electromechanical inertial measurement units were studied in this work, and functional and principal electrical circuits for connecting units of inertial measurements to the microcontroller were developed. The results of practical measurements of units without calibration and after calibration were obtained using the created laboratory device. Based on the obtained results, the necessity of sensor calibration was revealed, and accuracy was improved by performing calibration with the Kalman filter algorithm. The Kalman filter is the heart of the navigation system. In a low-cost system, IMU errors like bias, scale factor error and random walk noise dominate the INS error growth.
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
52
审稿时长
20 weeks
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