A Temperature Compensation Model for Low Cost Quartz Accelerometers and Its Application in Tilt Sensing

Wu, Yang; Fang, Bin; Tang, Yuan Yan; Qin, Xudong

doi:10.1155/2016/2950376

Cited by 12 publications

(7 citation statements)

References 19 publications

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“…The associate editor coordinating the review of this manuscript and approving it for publication was Fabio Massaro. compensation were executed to improve the accuracy and achieve better temperature performance [3]- [5]. The detection error of the accelerometers resulting from vibrations or other dynamic environment was analyzed in detail.…”

Section: Different Signal Detection Structures and Temperaturementioning

confidence: 99%

The Estimation and Compensation of the Loop-Parameter-Drifting in the Digital Close-Loop Quartz Flexible Accelerometers

et al. 2020

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There have been increasing demands for the long-term performance retention of the Quartz Flexible Accelerometers (QFA), extensively employed in the Inertial Navigation System (INS). Considering the convenience of conducting the parameter identification and control algorithm, the Digital Close-Loop QFA (Digital-QFA) is established to improve the long-term performance. Based on the model of the entire close-loop system, the interfering factors relating to time are analyzed in detail, both in the forward channel and the feedback channel. Two schedules are proposed to estimate the gain variation, utilizing the modulating signal and the feedback signal separately. According to the reference gain settings in ideal conditions, the forward and the feedback gain drifting of the system are calibrated online through the adjustment of the digital controller and the reference voltage of the DA-chip, separately. The simulation experiments show that about 90.26% of the gain-drifting could be estimated and about 87.56% of the output error of the accelerate could be restrained. Consequently, the proposed schedules could promote the long-term stability of the Digital-QFA significantly. INDEX TERMS Digital close-loop quartz flexible accelerometers, drifting over time, estimation and compensation, long-term performance, loop-parameters.

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Section: Different Signal Detection Structures and Temperaturementioning

confidence: 99%

The Estimation and Compensation of the Loop-Parameter-Drifting in the Digital Close-Loop Quartz Flexible Accelerometers

et al. 2020

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“…Yang proposed a simple mathematical model to obtain a more accurate and robust output of low-cost quartz accelerometers at high temperatures. The model takes into account both temperature and rolling sensitivity and has been successfully applied to temperature compensation of two low-cost quartz accelerometers [21]. Wang used an optimized back propagation neural network (BP NN) to eliminate zero-bias error and scale factor error associated with the temperature of MEMS resonant accelerometers [22].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Temperature Drift Compensation Method of a MEMS Accelerometer Based on Deep GRU and Optimized Monarch Butterfly Algorithm

Guo

Rui-Chu

et al. 2023

IEEE Access

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In recent years, inertial sensors based on Micro-Electro-Mechanical Systems (MEMS) have become increasingly popular. They have been widely used in various fields due to their low cost, small size, and low power consumption. It seems that MEMS inertial sensors may eventually fully occupy the middle to lower end inertial navigation application market that traditional inertial sensors previously occupied. To realize the full potential of MEMS inertial sensors, one of the critical issues is their temperature drift. This paper first proposed a recursive model for real-time compensation. Then three algorithms were proposed, including a two-layer deep gated recurrent unit recurrent neural network (GRU-RNN, short GRU), deep GRU based on monarch butterfly algorithm (MBA), and deep GRU based on optimized monarch butterfly algorithm (OMBA). Each of these three algorithms is combined with the real-time compensation model to compensate for the temperature drift of a MEMS accelerometer. The experimental results proved the correctness of these three methods, and the MEMS accelerometer's temperature drift is compensated effectively. The results indicate that the deep GRU + OMBA shows the best performance for the temperature drift compensation combined with the real-time compensation model. After deep GRU + OMBA method compensation, the angle random walk, the bias instability, the rate random walk, and rate ramp of the MEMS accelerometer were improved from 4.97e −4 mg • s 1 2 , 4.90e −4 mg, 5.57e −5 mg/s 1 2 , 1.82e −6 mg /s to 3.90e −5 mg •s 1 2 , 1.07e −5 mg, 1.12e −6 mg/s 1 2 , 3.59e −8 mg /s, respectively. Their percentage of improvement reaches 96.50% on average. INDEX TERMSDeep GRU, MEMS accelerometer, real-time compensation, OMBA, temperature drift.

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“…Quartz flexible accelerometers have been widely used in the fields of national defense and military industry for their properties of small size, quick response, high anti-interference ability, and better long-term stability [ 1 ]. Nevertheless, using the traditional analog quartz flexible accelerometer will lead to additional measurement error, which attributes to adding an extra A/D conversion module when in use.…”

Section: Introductionmentioning

confidence: 99%

Cold Starting Temperature Drift Modeling and Compensation of Micro-Accelerometer Based on High-Order Fourier Transform

et al. 2022

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The traditional temperature modeling method is based on the full heating of the accelerometer to achieve thermal balance, which is not suitable for the cold start-up phase of the micro-accelerometer. For decreasing the complex temperature drift of the cold start-up phase, a new temperature compensation method based on a high-order Fourier transform combined model is proposed. The system structure and repeatability test of the micro digital quartz flexible accelerometer are provided at first. Additionally, we analyzed where the complex temperature drift of the cold start-up phase comes from based on the system structure and repeatability test. Secondly, a high-order temperature compensation model combined with K-means clustering and the symbiotic organisms search (SOS) algorithm is established with repeatability test data as training data. To verify the proposed temperature compensation model, a test platform was built to transmit the measured values before and after compensation with the proposed Fourier-related model and the other time-related model, which is also a model aiming at temperature compensation in the cold start-up phase. The experimental results indicate that the proposed method achieves better compensation accuracy compared with the traditional temperature compensation methods and the time-related compensation model. Furthermore, the compensation for the cold start-up phase has no effect on the original accuracy over the whole temperature range. The stability of the accelerometer can be significantly improved to about 30 μg in the start-up phase of different temperatures after compensation.

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A Temperature Compensation Model for Low Cost Quartz Accelerometers and Its Application in Tilt Sensing

Cited by 12 publications

References 19 publications

The Estimation and Compensation of the Loop-Parameter-Drifting in the Digital Close-Loop Quartz Flexible Accelerometers

The Estimation and Compensation of the Loop-Parameter-Drifting in the Digital Close-Loop Quartz Flexible Accelerometers

Real-Time Temperature Drift Compensation Method of a MEMS Accelerometer Based on Deep GRU and Optimized Monarch Butterfly Algorithm

Cold Starting Temperature Drift Modeling and Compensation of Micro-Accelerometer Based on High-Order Fourier Transform

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