A Monolithic High-G SOI-MEMS Accelerometer for Measuring Projectile Launch and Flight Accelerations

Analog Devices (ADI) has designed and fabricated a monolithic high-g acceleration sensor (ADXSTC3-HG) fabricated with the ADI silicon-on-insulator micro-electro-mechanical system (SOI-MEMS) process. The SOI-MEMS sensor structure has a thickness of 10 um, allowing for the design of inertial sensors with excellent cross-axis rejection. The high-g accelerometer discussed in this paper was designed to measure in-plane acceleration to 10,000 g while subjected to 100,000 g in the orthogonal axes. These requirements were intended to meet Army munition applications. The monolithic sensor was packaged in an 8-pin leadless chip carrier (LCC-8) and was successfully demonstrated by the US Army Research Laboratory (ARL) as part of an inertial measurement unit during an instrumented flight experiment of artillery projectiles launched at 15,000 g.

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Fault and calibration shift detection in a robust MEMS accelerometer array

Annual Conference of the PHM Society ◽

10.36001/phmconf.2021.v13i1.2999 ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Daniel Watson ◽

Karl Reichard

Keyword(s):

Sensor Array ◽

Health Management ◽

Low Cost ◽

Micro Electro Mechanical System ◽

Mems Accelerometer ◽

Practical Applications ◽

Mems Sensor ◽

Decision Logic ◽

High Bandwidth ◽

Future Work

The latest generation micro-electro-mechanical system(MEMS) accelerometers offer high bandwidth and low noisefloors previously limited to piezoelectric (PZT) based sensors.These relatively low cost MEMS sensors drastically expandthe financially practical applications for high frequency,vibration based, prognostics health management (PHM).This paper examines a robust array of MEMS accelerometersfor applications where sensor access after deploymentis difficult or infeasible. Three identical single axis MEMSaccelerometers were place in an array for testing. Insteadof a typical tri-axial configuration, the three sensors werealigned on a common axis. An auto-correlation algorithmwas used to detect gross system faults of individual sensorsin the array. A separate algorithm was developed to detectabnormal sensor sensitivity drift. The 3 sensor array wastested under a variety of conditions to test the developedalgorithms; power supply voltages were systematically variedaffecting the ratio-metric accelerometer sensitivity andindividual sensor mounts were purposely compromised tosimulate common fault symptoms. A decision logic treewas then implemented to respond to both types of faults.Results show the feasibility of implementing robust MEMSaccelerometer arrays using the latest generation of high bandwidthMEMS accelerometers. Planned future work includesdeploying the sensor array on tribology test equipment tovalidate MEMS sensor effectiveness compared to traditionalPZT based accelerometers.

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MEMS Accelerometer Noises Analysis Based on Triple Estimation Fractional Order Algorithm

Sensors ◽

10.3390/s22020527 ◽

2022 ◽

Vol 22 (2) ◽

pp. 527

Author(s):

Michal Macias ◽

Dominik Sierociuk ◽

Wiktor Malesza

Keyword(s):

Fractional Order ◽

Estimation Algorithm ◽

Parameters Estimation ◽

Measurement Unit ◽

Parameter Estimates ◽

Variable Order ◽

Essential Information ◽

Mems Accelerometer ◽

Mems Sensor ◽

Noise Input

This paper is devoted to identifying parameters of fractional order noises with application to noises obtained from MEMS accelerometer. The analysis and parameters estimation will be based on the Triple Estimation algorithm, which can simultaneously estimate state, fractional order, and parameter estimates. The capability of the Triple Estimation algorithm to fractional noises estimation will be confirmed by the sets of numerical analyses for fractional constant and variable order systems with Gaussian noise input signal. For experimental data analysis, the MEMS sensor SparkFun MPU9250 Inertial Measurement Unit (IMU) was used with data obtained from the accelerometer in x, y and z-axes. The experimental results clearly show the existence of fractional noise in this MEMS’ noise, which can be essential information in the design of filtering algorithms, for example, in inertial navigation.

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Neuro-Optometric Treatment of Complications from a Cerebellar Astrocytoma

Vision Development & Rehabilitation ◽

10.31707/vdr2020.6.4.p304 ◽

2020 ◽

pp. 304-312

Keyword(s):

Visual System ◽

Common Site ◽

Us Army ◽

Cranial Nerve Palsies ◽

Pilocytic Astrocytomas ◽

The Us ◽

Extent Of Damage ◽

Functional Components ◽

The Brain

Background: Insult to the brain, whether from trauma or other etiologies, can have a devastating effect on an individual. Symptoms can be many and varied, depending on the location and extent of damage. This presentation can be a challenge to the optometrist charged with treating the sequelae of this event as multiple functional components of the visual system can be affected. Case Report: This paper describes the diagnosis and subsequent ophthalmic management of an acquired brain injury in a 22 year old male on active duty in the US Army. After developing acute neurological symptoms, the patient was diagnosed with a pilocytic astrocytoma of the cerebellum. Emergent neurosurgery to treat the neoplasm resulted in iatrogenic cranial nerve palsies and a hemispheric syndrome. Over the next 18 months, he was managed by a series of providers, including a strabismus surgeon, until presenting to our clinic. Lenses, prism, and in-office and out-of-office neurooptometric rehabilitation therapy were utilized to improve his functioning and make progress towards his goals. Conclusions: Pilocytic astrocytomas are the most common primary brain tumors, and the vast majority are benign with excellent surgical prognosis. Although the most common site is the cerebellum, the visual pathway is also frequently affected. If the eye or visual system is affected, optometrists have the ability to drastically improve quality of life with neuro-optometric rehabilitation.

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EDUCATIONAL-TRAINING FACILITIES OF GROUND US FORCES

Innovatics and Expert Examination ◽

10.35264/1996-2274-2019-2-168-176 ◽

2019 ◽

pp. 168-176

Author(s):

D.B. Izyumov ◽

E.L. Kondratyuk

Keyword(s):

United States ◽

Armed Forces ◽

The United States ◽

Educational Training ◽

Us Army ◽

The Us ◽

Level Of Training ◽

Army Personnel

The article discusses issues related to the development and use of training means and facilities in order to improve the level of training of US Army personnel. An overview of the main simulators used in the US Armed Forces at present is given, and the prospects for the development of the United States in this area are presented.

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