Reducing the Effect of the Accelerometer-Slope Bias Error on the Calibration Error of a High-Precision RLG INS System-level Fitting Method

2021 ◽  
pp. 1-1
Author(s):  
Xiaoqing Liu ◽  
Jiamin Zheng ◽  
Jiazhen Lu ◽  
Xuesong Zhao ◽  
Lili Ye
Keyword(s):  
High Precision ◽  
System Level ◽  
Bias Error ◽  
Calibration Error ◽  
Fitting Method

scholarly journals A Nonlinear Calibration Method Based on Sinusoidal Excitation and DFT Transformation for High-Precision Power Analyzers

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wenjian Zhou ◽  
Sheng Yang ◽  
Li Wang ◽  
Hanmin Sheng ◽  
Yang Deng
Keyword(s):  
High Precision ◽  
Interpolation Method ◽  
Spline Interpolation ◽  
Calibration Method ◽  
Calibration Error ◽  
Initial Moment ◽  
Calibration Process ◽  
Calibration Methods ◽  
Nonlinear Calibration ◽  
Sinusoidal Excitation

For most high-precision power analyzers, the measurement accuracy may be affected due to the nonlinear relationship between the input and output signal. Therefore, calibration before measurement is important to ensure accuracy. However, the traditional calibration methods usually have complicated structures, cumbersome calibration process, and difficult selection of calibration points, which is not suitable for situations with many measurement points. To solve these issues, a nonlinear calibration method based on sinusoidal excitation and DFT transformation is proposed in this paper. By obtaining the effective value data of the current sinusoidal excitation from the calibration source, the accurate calibration process can be done, and the calibration efficiency can be improved effectively. Firstly, through Fourier transform, the phase value at the initial moment of the fundamental frequency is calculated. Then, the mapping relationship between the sampling value and the theoretical calculation value is established according to the obtained theoretical discrete expression, and a cubic spline interpolation method is used to further reduce the calibration error. Simulations and experiments show that the calibration method presented in this paper achieves high calibration accuracy, and the results are compensation value after calibration with a deviation of ± 3 × 10 − 4 .

A new short-arc fitting method with high precision using Adam optimization algorithm

Optik ◽  
2020 ◽  
Vol 212 ◽  
pp. 164788
Author(s):  
Zhigen Fei ◽  
Zhiying Wu ◽  
Yanqiu Xiao ◽  
Jun Ma ◽  
Wenbin He
Keyword(s):  
High Precision ◽  
Optimization Algorithm ◽  
Fitting Method ◽  
Short Arc

scholarly journals APPLICATION OF MULTI-FACETED FUNCTION MODEL BASED ON VONDRAK FILTER OPTIMIZATION IN UAV AERIAL IMAGE HEIGHT CORRECTION

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 1313-1317
Author(s):  
F. Zhou ◽  
L. Pu ◽  
S. H. Tang ◽  
Y. F. Yang
Keyword(s):  
High Precision ◽  
Surface Fitting ◽  
Aerial Image ◽  
Experimental Comparison ◽  
Cubic Surface ◽  
Aerial Photogrammetry ◽  
Function Fitting ◽  
Fitting Method ◽  
Elevation Correction ◽  
Vondrak Filter

Abstract. With the rapid development of drone technology and digital camera technology, the method of obtaining high-precision coordinates based on UAV aerial photogrammetry technology is popular. The plane coordinate accuracy of the aerial image of the drone has been able to meet the needs of practical applications, but the elevation accuracy is generally low. Aiming at the low elevation accuracy of UAV aerial photogrammetry, a multi-face function fitting method based on Vondrak filter optimization was proposed. The improved fitting model was used to obtain the elevation correction value of the aerial image, thereby obtaining high-precision image elevation data. In this paper, based on the traditional multi-face function fitting method, some known points were used to model and find the difference between the measured elevation value and the measured elevation. The Vondrak filter was used to smooth the fitting result. Finally, a small number of known elevation points were used for checking, so that the obtained elevation was compared with the actual elevation. The experimental comparison showed that the improved multi-face function fitting method used Vondrak filter was improved by 34.76% compared with the quadric surface fitting, and improved by 14.48% compared with the optimized cubic surface fitting method. Research shows that the multi-faceted function method based on Vondrak filtering is superior to the traditional elevation correction method. The experiment verifies the effectiveness and feasibility of the improved method, and provides some reference value for the research of aerial image elevation correction model.

System-Level Calibration Method for High-Precision Fiber Optic Platform System

2021 ◽  
Author(s):  
Wen Zhang ◽  
Tingjun Wang ◽  
Mingyuan Liu ◽  
Lei Wang ◽  
Tao Tao
Keyword(s):  
High Precision ◽  
Fiber Optic ◽  
Calibration Method ◽  
System Level ◽  
Platform System

A new fitting method for measurement of the curvature radius of a short arc with high precision

2018 ◽  
Vol 29 (7) ◽  
pp. 075014 ◽  
Author(s):  
Wei Tao ◽  
Hong Zhong ◽  
Xiao Chen ◽  
Yassine Selami ◽  
Hui Zhao
Keyword(s):  
High Precision ◽  
Curvature Radius ◽  
Fitting Method ◽  
Short Arc

scholarly journals On High-precision Subpixel-based Drilling Technique for Suture Needles with Thread

2014 ◽  
Vol 8 (1) ◽  
pp. 607-612
Author(s):  
Tiebo Sun ◽  
Hong Li
Keyword(s):  
Edge Detection ◽  
High Precision ◽  
Noise Suppression ◽  
Hole Drilling ◽  
Drilling Process ◽  
Structural Elements ◽  
Spatial Moments ◽  
Automated Production ◽  
Fitting Method ◽  
Drilling Method

In order to improve the automation of end-hole drilling process in the production of suture needles with thread, a high-precision subpixel-based drilling method is proposed. According to the edge detection principle in mathematical morphology, combined with the characteristics of the magnified images of the ends of suture needles to be drilled, the morphological edge detection operators with variable structural elements are constructed to achieve noise suppression and fully extract the detailed information of edges of images of needle end holes to be drilled. Then, the subdivision method of spatial moments is adopted to realize the subpixel positioning of pixel-level edges. Finally, least squares fitting method is used to achieve the high-precision positioning of center of needle end hole to be drilled. The experimental results of the 0.5 mm needle samples show that the drilling method proposed in this study has a concentricity error no more than ± 0.2 μm and an average drilling time of 0.65S. Moreover, the method also boasts good real-time performance and stability and meets the automated production needs of drilling process of suture needles with thread.

scholarly journals Multi-Level Model Reduction and Data-Driven Identification of the Lithium-Ion Battery

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3791
Author(s):  
Yong Li ◽  
Jue Yang ◽  
Wei Long Liu ◽  
Cheng Lin Liao
Keyword(s):  
Lithium Ion Battery ◽  
High Precision ◽  
Tracking Error ◽  
Lithium Ion ◽  
Data Driven ◽  
System Level ◽  
Identification Algorithm ◽  
Identification Methods ◽  
Battery Model ◽  
Non Linear System

The lithium-ion battery is a complicated non-linear system with multi electrochemical processes including mass and charge conservations as well as electrochemical kinetics. The calculation process of the electrochemical model depends on an in-depth understanding of the physicochemical characteristics and parameters, which can be costly and time-consuming. We investigated the electrochemical modeling, reduction, and identification methods of the lithium-ion battery from the electrode-level to the system-level. A reduced 9th order linear model was proposed using electrode-level physicochemical modeling and the cell-level mathematical reduction method. The data-driven predictor-based subspace identification algorithm was presented for the estimation of lithium-ion battery model in the system-level. The effectiveness of the proposed modeling and identification methods was validated in an experimental study based on LiFePO4 cells. The accuracy and dynamic characteristics of the identified model were found to be much more likely related to the operating State of Charge (SOC) range. Experimental results showed that the proposed methods perform well with high precision and good robustness in the SOC range of 90% to 10%, and the tracking error increases significantly within higher (100–90%) or lower (10–0%) SOC ranges. Moreover, to achieve an optimal balance between high-precision and low complexity, statistical analysis revealed that the 6th, 3rd, and 5th order battery model is the optimal choice in the SOC range of 90% to 100%, 90% to 10%, and 10% to 0%, respectively.

scholarly journals High Precision Timing with Parabolic Equation Fitting in Narrowband Systems

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4164
Author(s):  
Zou ◽  
Xu
Keyword(s):  
Parabolic Equation ◽  
High Precision ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Sampling Rate ◽  
Wireless Communication Systems ◽  
Fitting Method ◽  
Fitting In ◽  
Timing Requirement ◽  
Synchronization Performance

Timing forms the basis of wireless communication systems. Orthogonal frequency division multiplexing (OFDM) technology has strict requirements for synchronization performance, and timing errors lead to interference between subcarriers and symbols. Although cyclic prefix (CP) can relax the timing requirement, high precision timing is still necessary and can release the pressure on CP. Due to the uncertainty of signal arrival, there is a sampling offset between the sampling sample’s timing and the real timing, which can be large in the narrowband system with a low sampling rate. In this paper, we propose a parabolic equation fitting method to improve the timing precision in narrowband systems that have two times the rate of the Nyquist sampling rate. The proposed timing method is easy to implement, with low additional complexity compared to traditional timing detection and is based on traditional direct correlator output.

scholarly journals An Integrated Gold-Film Temperature Sensor for In Situ Temperature Measurement of a High-Precision MEMS Accelerometer

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3652 ◽  
Author(s):  
Xiaoxiao Song ◽  
Huafeng Liu ◽  
Yanyan Fang ◽  
Chun Zhao ◽  
Ziqiang Qu ◽  
...  
Keyword(s):  
Temperature Measurement ◽  
High Precision ◽  
Temperature Sensor ◽  
Gold Film ◽  
Temperature Sensors ◽  
System Level ◽  
Mems Accelerometer ◽  
Capacitive Accelerometer ◽  
Integration Test

Temperature sensors are one of the most important types of sensors, and are employed in many applications, including consumer electronics, automobiles and environmental monitoring. Due to the need to simultaneously measure temperature and other physical quantities, it is often desirable to integrate temperature sensors with other physical sensors, including accelerometers. In this study, we introduce an integrated gold-film resistor-type temperature sensor for in situ temperature measurement of a high-precision MEMS accelerometer. Gold was chosen as the material of the temperature sensor, for both its great resistance to oxidation and its better compatibility with our in-house capacitive accelerometer micro-fabrication process. The proposed temperature sensor was first calibrated and then evaluated. Experimental results showed the temperature measurement accuracy to be 0.08 °C; the discrepancies among the sensors were within 0.02 °C; the repeatability within seven days was 0.03 °C; the noise floor was 1 mK/√[email protected] Hz and 100 μK/√[email protected] Hz. The integration test with a MEMS accelerometer showed that by subtracting the temperature effect, the bias stability within 46 h for the accelerometer could be improved from 2.15 μg to 640 ng. This demonstrates the capability of measuring temperature in situ with the potential to eliminate the temperature effects of the MEMS accelerometer through system-level compensation.

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