scholarly journals Analysis of Correlation in MEMS Gyroscope Array and its Influence on Accuracy Improvement for the Combined Angular Rate Signal

Micromachines ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 22 ◽  
Author(s):  
Liang Xue ◽  
Xinguo Wang ◽  
Bo Yang ◽  
Weizheng Yuan ◽  
Guangmin Yuan
Keyword(s):  
Angular Rate ◽  
Accuracy Improvement ◽  
Mems Gyroscope

scholarly journals System Identification of a MEMS Gyroscope

1999 ◽  
Vol 123 (2) ◽  
pp. 201-210 ◽  
Author(s):  
Robert T. M’Closkey ◽  
Steve Gibson ◽  
Jason Hui
Keyword(s):  
System Identification ◽  
Angular Rate ◽  
Experimental System ◽  
Primary Objective ◽  
Input Output ◽  
Output Data ◽  
Mems Gyroscope ◽  
Principal Axes ◽  
Frequency Split ◽  
Insight Into

This paper reports the experimental system identification of the Jet Propulsion Laboratory MEMS vibratory rate gyroscope. A primary objective is to estimate the orientation of the stiffness matrix principal axes for important sensor dynamic modes with respect to the electrode pick-offs in the sensor. An adaptive lattice filter is initially used to identify a high-order two-input/two-output transfer function describing the input/output dynamics of the sensor. A three-mode model is then developed from the identified input/output model to determine the axes’ orientation. The identified model, which is extracted from only two seconds of input/output data, also yields the frequency split between the sensor’s modes that are exploited in detecting the rotation rate. The principal axes’ orientation and frequency split give direct insight into the source of quadrature measurement error that corrupts detection of the sensor’s angular rate.

Research on Testing Method of Dynamic Characteristic for MEMS-Gyroscope

2011 ◽  
Vol 346 ◽  
pp. 515-520 ◽  
Author(s):  
Nuer Zhang ◽  
Yong Feng Ren ◽  
Sheng Kun Li
Keyword(s):  
Dynamic Characteristics ◽  
Vibration Frequency ◽  
Steel Plate ◽  
Angular Rate ◽  
Test Method ◽  
Good Precision ◽  
Mems Gyroscope ◽  
Testing Method ◽  
Calibration Experiment ◽  
The Relationship

Gave a test method of the dynamic characteristics about gyroscope. In the process of using Gyroscope, it will be affected by various external factors irresistibly in making the gyroscope working at certain vibration frequency. Designed the experiments of steel plate vibrating to examine the relationship between the sensitive angular rate of gyroscope and vibration frequency. Firstly, fixed the plate on the desk; then made the plate to vibrate, collected the data from the gyroscope which vibrating with steel plate. To analyze the data of collection, gained the dynamic characteristics of gyroscope. In addition, designed rotating floor calibration experiment, calibrated the relationship between input and output of gyroscope and verified the rationality of the steel plate vibrating experiment. The result prove that gain the dynamic characteristics of gyroscope by steel plate vibrating, not only the method is simple but the result also can achieve the good precision.

Kurtosis-based IMM filter for multiple MEMS gyroscopes fusion

Sensor Review ◽  
2017 ◽  
Vol 37 (3) ◽  
pp. 237-246 ◽  
Author(s):  
Qiang Shen ◽  
Jieyu Liu ◽  
Huang Huang ◽  
Qi Wang ◽  
Weiwei Qin
Keyword(s):  
Signal Processing ◽  
Transition Probabilities ◽  
Angular Rate ◽  
Processing Method ◽  
Multiple Model ◽  
Content Type ◽  
Mems Gyroscope ◽  
Signal Processing Method ◽  
Mems Gyroscopes ◽  
Markov Parameter

Purpose The purpose of this study is to explore a signal processing method to improve the angular rate accuracy of micro-electro-mechanical system (MEMS) gyroscope by combining numerous gyroscopes. Design/methodology/approach To improve the dynamic performance of the signal processing method, the interacting multiple model (IMM) can be applied to the fusion of gyroscope array. However, the standard IMM has constant Markov parameter, which may reduce the model switching speed. To overcome this problem, an adaptive IMM filter is developed based on the kurtosis of the gyroscope output, in which the transition probabilities are adjusted online by utilizing the dynamic information of the rate signal. Findings The experimental results indicate that the precision of the gyroscope array composed of six gyroscopes increases significantly and the kurtosis-based adaptive Markov parameter IMM filter (K-IMM) performs better than the baseline methods, especially under dynamic conditions. These experiments prove the validity of the proposed fusion method. Practical implications The proposed method can improve the accuracy of MEMS gyroscopes without breakthrough on hardware, which is necessary to extend their utility while not restricting the overwhelming advantages. Original/value A K-IMM algorithm is proposed in this paper, which is used to improve the angular rate accuracy of MEMS gyroscope by combining numerous gyroscopes.

scholarly journals Attitude Calculation of AHRS Based on Geomagnetic Field Adaptive Correction

2019 ◽  
Vol 37 (2) ◽  
pp. 225-231 ◽  
Author(s):  
Lu Wang ◽  
Mingyong Liu ◽  
Mengfan Wang ◽  
Jiaojiao Guo ◽  
Gang Lei ◽  
...  
Keyword(s):  
Geomagnetic Field ◽  
Angular Rate ◽  
Geophysical Field ◽  
Mems Gyroscope ◽  
Earth Gravity ◽  
Adaptive Correction ◽  
Output Noise ◽  
Kalman Filter Algorithm ◽  
Adaptive Extended Kalman Filter ◽  
Accumulated Error

In the attitude and heading reference system (AHRS), the output noise of MEMS gyroscope is too large, zero drift can not be eliminated completely, and the output of angular rate is easy to be interfered, which leads to low accuracy and large accumulated error of attitude quaternion and so on. In this paper, an adaptive extended Kalman filter algorithm is proposed based on the information of geophysical field (earth gravity field and geomagnetic field) to continuously and adaptively correct the accumulated error of MEMS gyroscope in attitude calculation. The experimental results via ROS robot platform show that the proposed algorithm can effectively solve the problem of large accumulated error in the process of attitude quaternion solution, and improve the accuracy of attitude calculation, thus the effectiveness of the proposed algorithm is verified.

scholarly journals Retrieval of Ocean Bottom and Downhole Seismic sensors orientation using integrated MEMS gyroscope and direct rotation measurements

2014 ◽  
Vol 40 ◽  
pp. 11-17 ◽  
Author(s):  
A. D'Alessandro ◽  
G. D'Anna
Keyword(s):  
Angular Displacement ◽  
Low Cost ◽  
Angular Rate ◽  
Ocean Bottom ◽  
Mems Gyroscope ◽  
Absolute Orientation ◽  
Sensor Orientation ◽  
Seismic Sensors ◽  
The Absolute ◽  
Almost All

Abstract. The absolute orientation of the horizontal components of ocean bottom or downhole seismic sensors are generally unknown. Almost all the methods proposed to overcome this issue are based on the post-processing of the acquired signals and so the results are strongly dependent on the nature, quantity and quality of the acquired data. We have carried out several test to evaluate the ability of retrieve sensor orientation using integrated low cost MEMS gyroscope. Our tests have shown that the tested MEMS gyroscope (the model 1044_0–3/3/3 Phidget Spatial Precision High Resolution) can be used to measure angular displacement and therefore to retrieve the absolute orientation of the horizontal components of a sensor that has been subjected to rotation in the horizontal plane. A correct processing of the acquired signals permit to retrieve, for rotation at angular rate between 0 and 180° s−1, angular displacement with error less 2°.

scholarly journals Noise Reduction of MEMS Gyroscope Based on Direct Modeling for an Angular Rate Signal

Micromachines ◽  
2015 ◽  
Vol 6 (2) ◽  
pp. 266-280 ◽  
Author(s):  
Liang Xue ◽  
Chengyu Jiang ◽  
Lixin Wang ◽  
Jieyu Liu ◽  
Weizheng Yuan
Keyword(s):  
Noise Reduction ◽  
Angular Rate ◽  
Mems Gyroscope ◽  
Direct Modeling

scholarly journals Nonlinear Estimator Design for MEMS Gyroscope with Time-varying Angular Rate

2017 ◽  
Vol 50 (1) ◽  
pp. 3195-3201
Author(s):  
Ladislav Král ◽  
Ondřej Straka
Keyword(s):  
Angular Rate ◽  
Time Varying ◽  
Mems Gyroscope ◽  
Estimator Design

The Measurement Correction of MEMS Gyroscope Based Interlaced Kalman Filtering

2011 ◽  
Vol 301-303 ◽  
pp. 1083-1088
Author(s):  
Jun Jie Lu ◽  
Jun Zhou ◽  
Xiao Dong Lu ◽  
Xiao Jun Liu
Keyword(s):  
Kalman Filtering ◽  
Attitude Change ◽  
Physical Simulation ◽  
Angular Rate ◽  
State Equation ◽  
Rate Measurement ◽  
Computation Complexity ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Mems Gyroscope

To correct the angular rate measurement error of MEMS gyroscopes for tactical missile, this paper proposes use of dynamics correspondence between the rudder control torque and the missile body attitude to build the state equation of system, which is more realistic and precise than the description for the actual missile attitude change with low-pass filter. In order to avoid errors in the linearization for nonlinear equations and reduce the filtering computation complexity, the Interlaced Kalman Filtering is applied to achieve the pseudo-linear state equation with coupling terms, which effectively reduce the computation complexity. Finally, the semi-physical simulation with the three-axis MEMS IMU and Electro-Servo verified that the algorithm significantly improved the angular rate measurement accuracy of the low-precision MEMS gyroscope.

Sign in / Sign up

Export Citation Format

Share Document