参考加速度计补偿法校准离心机中PIGA奇二次系数

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Liu Yikang;Ren Shunqing;Dong Xueming;Wang Minlin
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引用次数: 0

摘要

摆式积分式陀螺加速度计(PIGA)固有奇二次系数的准确标定在高过载应用中具有重要意义。为了消除PIGA标定过程中离心机仪表误差带来的干扰,设计了一种基于参考加速度计补偿的标定方法。首先,分析了以离心机动态不平衡为代表的外来奇二次项的误差机理,并进行了实验验证。随后,设计了一种石英加速度计的多姿态标定方法,识别加速度计的二阶系数,为标定PIGA做准备。然后将QAs作为参考加速度计来补偿PIGA的输出,并识别PIGA的固有奇二次系数和二阶系数。最后,对该方法进行了精度评估和仿真。结果表明,两个系数的标定精度达到10−7 rad/s/g2量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reference Accelerometers Compensation Method for Calibrating the Odd-Quadratic Coefficient of PIGA in Centrifuge
Accurate calibration of the intrinsic odd-quadratic coefficient of pendulous integrating gyroscopic accelerometer (PIGA) is of significant importance in high-overload applications. In order to eliminate the interference introduced by instrumentation errors in centrifuge during the process of calibrating PIGA, a calibration method based on compensation with the reference accelerometers is devised. First, the error mechanism of extrinsic odd-quadratic terms, represented by dynamic imbalance of centrifuge, is analyzed and experimentally verified. Subsequently, a multiposture calibration method for quartz accelerometers (QAs) is designed to identify second-order coefficients of QAs in preparation for the calibration of PIGA. The QAs are then employed as reference accelerometers to compensate for outputs of PIGA, and to identify the intrinsic odd-quadratic and the second-order coefficients of PIGA. Finally, the method undergoes accuracy evaluation and simulation. The results show that the calibration accuracy for two coefficients reaches the magnitude of 10−7 rad/s/g2.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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