A micro-electro-mechanical-system-based inertial system with rotating accelerometers and gyroscopes for land vehicle navigation

Du, Shuang

doi:10.1177/1550147717746351

Cited by 15 publications

(20 citation statements)

References 22 publications

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“…Some NEMS system includes rotating parts for which reduced wear rates and friction can achieve longer life time and higher number of mechanical cycles [254]. Mechanical robustness of a polymer substrate can be increased with an adherent graphene coating [255].…”

Section: Application Developmentsmentioning

confidence: 99%

Selective Carbon Material Engineering for Improved MEMS and NEMS

Neuville¹

2019

Micromachines

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The development of micro and nano electromechanical systems and achievement of higher performances with increased quality and life time is confronted to searching and mastering of material with superior properties and quality. Those can affect many aspects of the MEMS, NEMS and MOMS design including geometric tolerances and reproducibility of many specific solid-state structures and properties. Among those: Mechanical, adhesion, thermal and chemical stability, electrical and heat conductance, optical, optoelectronic and semiconducting properties, porosity, bulk and surface properties. They can be affected by different kinds of phase transformations and degrading, which greatly depends on the conditions of use and the way the materials have been selected, elaborated, modified and assembled. Distribution of these properties cover several orders of magnitude and depend on the design, actually achieved structure, type and number of defects. It is then essential to be well aware about all these, and to distinguish and characterize all features that are able to affect the results. For this achievement, we point out and discuss the necessity to take into account several recently revisited fundamentals on carbon atomic rearrangement and revised carbon Raman spectroscopy characterizing in addition to several other aspects we will briefly describe. Correctly selected and implemented, these carbon materials can then open new routes for many new and more performing microsystems including improved energy generation, storage and conversion, 2D superconductivity, light switches, light pipes and quantum devices and with new improved sensor and mechanical functions and biomedical applications.

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Section: Application Developmentsmentioning

confidence: 99%

Selective Carbon Material Engineering for Improved MEMS and NEMS

Neuville¹

2019

Micromachines

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“…e effect of the IMU rotation rate on PVA errors were also analysed [8]. e investigations on the application of rotary MEMS INS to the land vehicle navigation under dynamic environments were also conducted [9]. It was found that the navigation errors are more efficiently compensated with the inertial sensors that contain mainly the time-correlated (low-frequency) noise.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, the navigation errors still accumulate over time. For example, the position errors accumulate to hundreds of meters in minutes [9,10]. To further eliminate the residual PVA errors of the rotary MEMS INS in the standalone mode (the PVA errors are partially compensated by IMU rotations), and other methodologies are required to be studied.…”

Section: Introductionmentioning

confidence: 99%

The Integration of Rotary MEMS INS and GNSS with Artificial Neural Networks

Gan

Zhang

et al. 2021

Mathematical Problems in Engineering

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The rotary INS (inertial navigation system) has been applied to compensate the navigation errors of the MEMS (micro-electro-mechanical-systems) INS recently. In such system, the PVA (position, velocity, and attitude) errors can be compensated through IMU (inertial measurement unit) carouseling. However, the navigation errors are only partially compensated due to the intrinsic property of the inertial system and the randomness of the IMU errors. In this paper, we present an integrated rotary MEMS INS/GNSS (global navigation satellite systems) system based on the ANN (artificial neural networks) technique. The ANFIS (adaptive neuro-fuzzy inference system) is applied to eliminate the residual PV (position and velocity) errors of the rotary MEMS INS during GNSS outages. A cascaded velocity-position structure is designed to recognize the pattern of the rotary MEMS INS PV errors and to reduce them of the rotary inertial system in standalone mode. The road tests are conducted with artificial GNSS outages to evaluate the ability of the integrated system to predict the PV errors. Compared to the position errors of the integrated rotary INS/GNSS system based on an EKF (extended Kalman filtering), they are reduced by 79.98% in the proposed system.

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“…It is an auto-compensation technique to force the MEMS inertial measurement unit (MIMU) to rotate along given axes regularly, thus modulating the constant gyro drifts and accelerometer biases into periodically varying components. These periodical components can be mitigated through integral calculation, so that navigation errors are attenuated prominently without external aiding information [ 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Compensation of Modulation Angular Rate Error Based on Missile-Borne Rotation Semi-Strapdown Inertial Navigation System

Zhang

et al. 2018

Sensors

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The Semi-Strapdown Inertial Navigation System (SSINS) provides a new solution to attitude measurement of a high-speed rotating missile. However, micro-electro-mechanical-systems (MEMS) inertial measurement unit (MIMU) outputs are corrupted by significant sensor errors. In order to improve the navigation precision, a rotation modulation technology method called Rotation Semi-Strapdown Inertial Navigation System (RSSINS) is introduced into SINS. In fact, the stability of the modulation angular rate is difficult to achieve in a high-speed rotation environment. The changing rotary angular rate has an impact on the inertial sensor error self-compensation. In this paper, the influence of modulation angular rate error, including acceleration-deceleration process, and instability of the angular rate on the navigation accuracy of RSSINS is deduced and the error characteristics of the reciprocating rotation scheme are analyzed. A new compensation method is proposed to remove or reduce sensor errors so as to make it possible to maintain high precision autonomous navigation performance by MIMU when there is no external aid. Experiments have been carried out to validate the performance of the method. In addition, the proposed method is applicable for modulation angular rate error compensation under various dynamic conditions.

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A micro-electro-mechanical-system-based inertial system with rotating accelerometers and gyroscopes for land vehicle navigation

Cited by 15 publications

References 22 publications

Selective Carbon Material Engineering for Improved MEMS and NEMS

Selective Carbon Material Engineering for Improved MEMS and NEMS

The Integration of Rotary MEMS INS and GNSS with Artificial Neural Networks

Analysis and Compensation of Modulation Angular Rate Error Based on Missile-Borne Rotation Semi-Strapdown Inertial Navigation System

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