scholarly journals Temperature Drift Compensation for High-G MEMS Accelerometer Based on RBF NN Improved Method

2019 ◽  
Vol 9 (4) ◽  
pp. 695 ◽  
Author(s):  
Min Zhu ◽  
Lixin Pang ◽  
Zhijun Xiao ◽  
Chong Shen ◽  
Huiliang Cao ◽  
...  
Keyword(s):  
Resonant Frequency ◽  
Order Mode ◽  
Temperature Drift ◽  
Element Analysis ◽  
Mems Accelerometer ◽  
Drift Model ◽  
Noise Characteristics ◽  
Bias Stability ◽  
Drift Compensation ◽  
Working Principle

In this paper, the method for compensating the temperature drift of high-G MEMS accelerometer (HGMA) is proposed, including radial basis function neural network (RBF NN), RBF NN based on genetic algorithm (GA), RBF NN based on GA with Kalman filter (KF), and the RBF NN + GA + KF method compensated by the temperature drift model. First, this paper introduces an HGMA structure working principle, conducts a finite element analysis, and produces the results. The simulation results show that the HGMA working mode is the 1st order mode, and its resonant frequency is 408 kHz. The 2nd order mode resonant frequency is 667 kHz, and the gap with the first mode is 260 kHz, indicating that the coupling movement between the two modes is tiny, so the HGMA has good linearity. Then, a temperature experiment is performed to obtain the output value of HGMA. The output values of HGMA are analyzed and optimized by using the algorithms proposed in this paper. The processing results show that the RBF NN + GA + KF method compensated by the temperature drift model achieves the best denoing consequent. The processing results show that the temperature drift of the HGMA is effectively compensated. The final results show that acceleration random walking improved from 17130 g/h/Hz0.5 to 765.3 g/h/Hz0.5, and bias stability improved from 4720 g/h to 57.27 g/h, respectively. The results show that after using the RBF NN + GA + KF method, combined with the temperature drift model, the temperature drift trend and noise characteristics of HGMA are well optimized.

Design of an Inclination Sensor with High-Resolution Based on MEMS Accelerometer

2014 ◽  
Vol 568-570 ◽  
pp. 533-536
Author(s):  
Qing Fei Zhou ◽  
Ming Long Xu
Keyword(s):  
High Resolution ◽  
Frequency Domain ◽  
High Frequency ◽  
Axial Component ◽  
Temperature Drift ◽  
Mems Accelerometer ◽  
Butterworth Filter ◽  
Filtering Algorithm ◽  
Environment Temperature ◽  
Working Principle

A method of measuring inclination based on MEMS accelerometer is introduced,and a digital inclination sensor is developed. This paper describes the hardware structure of sensor and working principle. MEMS-based accelerometer senses axial component of gravity in sensitivity-axis direction. MSP430 microcontroller does temperature self-compensation in the light of the temperature drift fitting curve while the thermometer monitors environment temperature. IIR filtering algorithm is adopt to eliminate disturbance from high-frequency vibration noises. In order to analyze characteristics in frequency domain, Butterworth filter is simulated and filtering coefficients are given by MATLAB. The sensor is calibrated to eliminate angle drifts by RS232 interface. The result shows that the measuring accuracy of inclination sensor is up to 0.002°.

Dual mass MEMS gyroscope temperature drift compensation based on TFPF-MEA-BP algorithm

Sensor Review ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huiliang Cao ◽  
Rang Cui ◽  
Wei Liu ◽  
Tiancheng Ma ◽  
Zekai Zhang ◽  
...  
Keyword(s):  
Training Data ◽  
Experimental Result ◽  
Intrinsic Mode Functions ◽  
Temperature Drift ◽  
Connection Weight ◽  
Bp Network ◽  
Content Type ◽  
Mems Gyroscope ◽  
Time Frequency ◽  
Drift Compensation

Purpose To reduce the influence of temperature on MEMS gyroscope, this paper aims to propose a temperature drift compensation method based on variational modal decomposition (VMD), time-frequency peak filter (TFPF), mind evolutionary algorithm (MEA) and BP neural network. Design/methodology/approach First, VMD decomposes gyro’s temperature drift sequence to obtain multiple intrinsic mode functions (IMF) with different center frequencies and then Sample entropy calculates, according to the complexity of the signals, they are divided into three categories, namely, noise signals, mixed signals and temperature drift signals. Then, TFPF denoises the mixed-signal, the noise signal is directly removed and the denoised sub-sequence is reconstructed, which is used as training data to train the MEA optimized BP to obtain a temperature drift compensation model. Finally, the gyro’s temperature characteristic sequence is processed by the trained model. Findings The experimental result proved the superiority of this method, the bias stability value of the compensation signal is 1.279 × 10–3°/h and the angular velocity random walk value is 2.132 × 10–5°/h/vHz, which is improved compared to the 3.361°/h and 1.673 × 10–2°/h/vHz of the original output signal of the gyro. Originality/value This study proposes a multi-dimensional processing method, which treats different noises separately, effectively protects the low-frequency characteristics and provides a high-precision training set for drift modeling. TFPF can be optimized by SEVMD parallel processing in reducing noise and retaining static characteristics, MEA algorithm can search for better threshold and connection weight of BP network and improve the model’s compensation effect.

Performance enhancement for piezoresistive microaccelerometer by geometrical design: a focused review

Sensor Review ◽  
2015 ◽  
Vol 35 (3) ◽  
pp. 310-318 ◽  
Author(s):  
Yan Liu ◽  
Hai Wang ◽  
Hongbo Qin ◽  
Yongqiang Xie
Keyword(s):  
Resonant Frequency ◽  
Design Methodology ◽  
Performance Enhancement ◽  
Performance Parameters ◽  
Content Type ◽  
Geometrical Design ◽  
Working Principle ◽  
Cross Axis

Purpose – This paper aims to provide a focused review on the geometrical designs for performance enhancement of piezoresistive microaccelerometers. Design/methodology/approach – By analyzing working principle and conventional geometries, the improved research proposals are sorted into three groups in terms of their anticipated objectives, including sensitivity, resonant frequency and cross-axis sensitivity. Accessible methods are outlined and their merits and demerits are described. Findings – Novel geometries obviously enhance the performance of accelerometers, and the efficacy can be further elevated by newer materials and fabrication processes. Research limitations/implications – This paper mainly focused on the improved geometrical designs for sensitivity, resonant frequency and cross-axis sensitivity. Other performance parameters or design schemes are not included in this paper. Originality/value – This paper generalizes the available geometries and methods for the enhancement of sensitivity, resonant frequency and cross-axis sensitivity in piezoresistive accelerometers design.

Design and Analysis of a Novel Hybrid Excitation Flux Reversal Machine

2021 ◽  
Vol 36 (2) ◽  
pp. 218-228
Author(s):  
Xianming Deng ◽  
Zhen Jia ◽  
Xiaohan Zhao
Keyword(s):  
Motor Performance ◽  
Opposite Polarity ◽  
Magnetic Pole ◽  
Element Analysis ◽  
The Core ◽  
Flux Reversal ◽  
The Finite Element Analysis ◽  
Hybrid Excitation ◽  
Working Principle ◽  
Flux Reversal Machine

A novel hybrid excitation flux reversal machine (HEFRM) is developed. The machine has a simple reluctance rotor and a stator, which has both an ac armature winding and a dc field winding. The core on the surface of the pole arc at the centerline of the stator pole and the core on the outer surface of the stator yoke each have a slot along the rotating axis, where the field windings are placed. A permanent magnet (PM) with opposite polarity is placed respectively on each side of a slot in the same stator pole. In this paper, the working principle of the new HEFRM is introduced, the influence of magnetic pole parameters and armature parameters on motor performance are also analyzed, and genetic algorithm (GA) is used for multi-objective optimization of the torque characteristics. Finally, the HEFRM prototype is built, and its theoretical correctness is verified by the finite element analysis (FEA).

Design and experiment of a jetting dispenser with compact amplifying mechanism and low stress in piezostack

2020 ◽  
Vol 31 (5) ◽  
pp. 788-798
Author(s):  
Lingyun Wang ◽  
Xiang Huang ◽  
Siying Lin ◽  
Zhenxiang Bu ◽  
Hang Jin ◽  
...  
Keyword(s):  
Internal Stress ◽  
Droplet Diameter ◽  
Experimental System ◽  
Microelectronic Packaging ◽  
Element Analysis ◽  
Output Displacement ◽  
The Finite Element Analysis ◽  
Working Principle ◽  
Amplification Mechanism ◽  
Compact Design

This article introduced a piezostack-driven jetting dispenser for a microelectronic packaging process. The dispenser had a compact displacement amplification module using two piezostack actuators for achieving compact design and maintaining high jetting performance and improving internal stress on the piezostack actuators. In this article, a working principle of a jetting dispenser configuration was introduced and was followed by the presentation of a displacement amplification mechanism using a cylindrical pivot. The dimensions of the amplification mechanism were determined based on a theoretical calculation of the system and the finite element analysis results. The internal stress of the piezostack and the output displacement of the dispenser were investigated at different operational frequencies. The experimental system with the jetting dispenser was manufactured, and the system performance was verified experimentally. For evaluating the performance, a mixed glycerol/ethanol was used for the dispensing fluid. The jetting system in this study achieved an ideal jetting performance at a jetting frequency of 350 Hz and a droplet diameter of 0.42 mm.

scholarly journals Analysis and Compensation of Bias Drift for a Micromachined Spinning-Rotor Gyroscope with Electrostatic Suspension

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1799
Author(s):  
Shunyue Wang ◽  
Fengtian Han
Keyword(s):  
Compensation Scheme ◽  
Short Term ◽  
Temperature Drift ◽  
Position Sensing ◽  
Bias Drift ◽  
Bias Stability ◽  
Time Drift ◽  
Rotor Structure ◽  
Bias Compensation

Bias stability is one of primary characteristics of precise gyroscopes for inertial navigation. Analysis of various sources of the bias drift in a micromachined electrostatically suspended gyroscope (MESG) indicates that the bias stability is dominated by the temperature-induced drift. The analytical results of temperature drift resulting from the rotor structure and capacitive position sensing electronics are modeled and analyzed to characterize the drift mechanism of the MESG. The experimental results indicate that the bias drift is mainly composed of two components, i.e., rapidly changing temperature drift and slowly changing time drift. Both the short-term and long-term bias drift of the MESG are tested and discussed to achieve online bias compensation. Finally, a neural network based-bias compensation scheme is presented and verified experimentally with improved bias stability of the MESG.

scholarly journals Development of a hybrid vibration converter for real vibration source / Entwicklung eines Hybrid-Vibrationswandlers für eine echte Schwingungsquelle

2019 ◽  
Vol 86 (s1) ◽  
pp. 57-61 ◽  
Author(s):  
Sonia Bradai ◽  
Slim Naifar ◽  
Olfa Kanoun
Keyword(s):  
Magnetic Field ◽  
Finite Element Analysis ◽  
Finite Element ◽  
Energy Harvesting ◽  
Resonant Frequency ◽  
Ambient Vibration ◽  
Vibration Source ◽  
Frequency Bandwidth ◽  
Element Analysis ◽  
The Magnetic Field

AbstractHarvesting energy from ambient vibration sources is challenging due to its low characteristic amplitude and frequencies. In this purpose, this work presents a compact hybrid vibration converter based on electromagnetic and magnetoelectric principles working for a frequency bandwidth and under real vibration source properties. The combination of especially these two principles is mainly due to the fact that both converters can use the same changes of the magnetic field for energy harvesting. The converter was investigated using finite element analysis and validated experimentally. Results have shown that a frequency bandwidth up to 12 Hz with a characteristic resonant frequency at 24 Hz and a power density of 0.11mW/cm3 can be reached.

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