Measurement analysis of multiple MEMS sensor array

Schwaab, Manuel; Reginya, Sergey; Sikora, Axel; Abramov, E. V.

doi:10.23919/icins.2017.7995650

Cited by 9 publications

(2 citation statements)

References 7 publications

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“…The literature [13,14,15,16] presents the current research status and related application problems related to inertial arrays. Madgwick [17] used a redundant array of triple-axis accelerometers to measure the linear and angular motion of the rigid body.…”

Section: Introductionmentioning

confidence: 99%

Attitude Measurement for High-Spinning Projectile with a Hollow MEMS IMU Consisting of Multiple Accelerometers and Gyros

Liu

Zhao

et al. 2019

Sensors

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A low cost, high precision hollow structure MEMS IMU has been developed to measure the roll angular rate of a high-spinning projectile. The hollow MEMS IMU is realized by designing the scheme of non-centroid configuration of multiple accelerometers. Two dual-axis accelerometers are respectively mounted on the pitch axis and the yaw axis away from the center of mass of the high-spinning projectile. Three single-axis gyros are mounted orthogonal to each other to measure the angular rates, respectively. The roll gyro is not only used to judge the spinning direction, but also to measure and compensate for the low rotation speed of the high-spinning projectile. In order to improve the measurement accuracy of the sensor, the sensor output error is modeled and calibrated by the least square method. By analyzing the influence of noise statistical characteristics on angular rate solution accuracy, an adaptive unscented Kalman filter (AUKF) algorithm is proposed, which has a higher estimation accuracy than UKF algorithm. The feasibility of the method is verified by numerical simulation. By using the MEMS IMU device to build a semi-physical simulation platform, the solution accuracy of the angular rate is analyzed by simulating different rotation speeds of the projectile. Finally, the flight test is carried out on the rocket projectile with the hollow MEMS IMU. The test results show that the hollow MEMS IMU is reasonable and feasible, and it can calculate the roll angular rate in real time. Therefore, the hollow MEMS IMU designed in this paper has certain engineering application value for high-spinning projectiles.

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Section: Introductionmentioning

confidence: 99%

Attitude Measurement for High-Spinning Projectile with a Hollow MEMS IMU Consisting of Multiple Accelerometers and Gyros

Liu

Zhao

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…Similarly, estimating the sensors bias within the algorithms has been considered [ 17 , 18 , 19 ]. It is also the case for the analysis of correlation between the sensor random walk noises [ 20 , 21 ], but not a correlation between the biases of the sensors.…”

Section: Introductionmentioning

confidence: 99%

Data Fusion Architectures for Orthogonal Redundant Inertial Measurement Units

Gagnon

Vachon²,

Beaudoin

2018

Sensors

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This work looks at the exploitation of large numbers of orthogonal redundant inertial measurement units. Specifically, the paper analyses centralized and distributed architectures in the context of data fusion algorithms for those sensors. For both architectures, data fusion algorithms based on Kalman filter are developed. Some of those algorithms consider sensors location, whereas the others do not, but all estimate the sensors bias. A fault detection algorithm, based on residual analysis, is also proposed. Monte-Carlo simulations show better performance for the centralized architecture with an algorithm considering sensors location. Due to a better estimation of the sensors bias, the latter provides the most precise and accurate estimates and the best fault detection. However, it requires a much longer computational time. An analysis of the sensors bias correlation is also done. Based on the simulations, the biases correlation has a small effect on the attitude rate estimation, but a very significant one on the acceleration estimation.

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Analysis of influencing factors on fusion accuracy of virtual gyroscope technology and new data fusion method

Song

Shi

et al. 2020

ISA Transactions

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Measurement analysis of multiple MEMS sensor array

Cited by 9 publications

References 7 publications

Attitude Measurement for High-Spinning Projectile with a Hollow MEMS IMU Consisting of Multiple Accelerometers and Gyros

Attitude Measurement for High-Spinning Projectile with a Hollow MEMS IMU Consisting of Multiple Accelerometers and Gyros

Data Fusion Architectures for Orthogonal Redundant Inertial Measurement Units

Analysis of influencing factors on fusion accuracy of virtual gyroscope technology and new data fusion method

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