基于多传感器的大型测量场配准误差补偿方法研究

IF 1.6 4区工程技术 Q3 INSTRUMENTS & INSTRUMENTATION

Sensor Review Pub Date : 2022-07-15 DOI:10.1108/sr-01-2022-0004

Lulu Huang, Xiang Huang, Shuanggao Li

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引用次数: 1

摘要

飞机工装结构尺寸巨大，环境温度难以保持恒定状态。针对当前温度的影响，提出了一种基于多温度传感器的大范围测量场配准误差补偿方法。设计/方法/方法:该方法利用ERS和温度数据构建了增强型参考点-温度回归模型。通过回归模型求解偏移量，建立ERS偏移量补偿模型，并进行ERS偏移量补偿分析。实验结果表明，所提出的配准误差补偿算法在减小环境温度的影响和通过减小配准误差来提高测量精度方面比传统方法有明显的优势。原创性/价值该方法减少了因环境温度影响引起的配准误差，可用于不同温度环境下的飞机测量。

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Research on compensation method for registration error of large-scale measurement field based on multi-temperature sensors

Purpose The size of the aircraft tooling structure is huge, and the ambient temperature is difficult to maintain a constant state. Aiming at the influence of current temperature, this paper aims to propose a compensation method for registration error of large-scale measurement fields based on multi-temperature sensors. Design/methodology/approach In this method, an enhanced reference points (ERS)–temperature regression model is constructed from ERS and temperature data. The ERS offsets compensation model is established by solving the offset through the regression model, and the ERS offset compensation analysis is carried out. Findings The experimental results show that the proposed registration error compensation algorithm has obvious advantages over traditional methods in reducing the influence of ambient temperature and improving the measurement accuracy by reducing the registration error. Originality/value This method reduces registration error caused by the influence of ambient temperature and is used for aircraft measurements in different temperature environments.

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来源期刊

Sensor Review 工程技术-仪器仪表

CiteScore

3.40

自引率

6.20%

发文量

审稿时长

3.7 months

期刊介绍： Sensor Review publishes peer reviewed state-of-the-art articles and specially commissioned technology reviews. Each issue of this multidisciplinary journal includes high quality original content covering all aspects of sensors and their applications, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of high technology sensor developments. Emphasis is placed on detailed independent regular and review articles identifying the full range of sensors currently available for specific applications, as well as highlighting those areas of technology showing great potential for the future. The journal encourages authors to consider the practical and social implications of their articles. All articles undergo a rigorous double-blind peer review process which involves an initial assessment of suitability of an article for the journal followed by sending it to, at least two reviewers in the field if deemed suitable. Sensor Review’s coverage includes, but is not restricted to: Mechanical sensors – position, displacement, proximity, velocity, acceleration, vibration, force, torque, pressure, and flow sensors Electric and magnetic sensors – resistance, inductive, capacitive, piezoelectric, eddy-current, electromagnetic, photoelectric, and thermoelectric sensors Temperature sensors, infrared sensors, humidity sensors Optical, electro-optical and fibre-optic sensors and systems, photonic sensors Biosensors, wearable and implantable sensors and systems, immunosensors Gas and chemical sensors and systems, polymer sensors Acoustic and ultrasonic sensors Haptic sensors and devices Smart and intelligent sensors and systems Nanosensors, NEMS, MEMS, and BioMEMS Quantum sensors Sensor systems: sensor data fusion, signals, processing and interfacing, signal conditioning.