Guidelines for tilt measurements realized by MEMS accelerometers

Łuczak, Sergiusz

doi:10.1007/s12541-014-0362-5

Cited by 29 publications

(24 citation statements)

References 13 publications

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“…Components of the tilt and the gravitational acceleration such operation usually results in a decrease of the related accuracy; 16 the same applies to Eq. (8) introduced later in the text (the exception is a case when the pitch is approximately of -180 o , 0 o or 180 o ), what is sometimes overlooked by some researchers, e.g.,.…”

Section: Tilt Vs Components Of the Gravity Accelerationmentioning

confidence: 93%

“…(11)] is insignificant and cannot be distinguished on the graphs, what justifies the approximation assumed in Eq. (16) and (19).…”

Section: Experimental Verificationmentioning

confidence: 96%

“…Besides, defining β as roll has been commonly accepted, e.g.,. [11][12][13][14][15] Relation between the considered angles is as follows: 10,16 (1)…”

Section: Tilt Vs Components Of the Gravity Accelerationmentioning

confidence: 99%

“…13,14 The appropriate formulas can be derived from Eq. (14)- (16), or from a transformed form of Eq.…”

Section: Sensitivity Of Determining the Tiltmentioning

confidence: 99%

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Erratum to: Guidelines for tilt measurements realized by MEMS accelerometers

Łuczak

2014

Int. J. Precis. Eng. Manuf.

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The paper discusses thoroughly a problem of determining tilt over various measurement ranges by measuring Cartesian components of the gravity acceleration with application of accelerometers that are Microelectromechanical Systems (MEMS). The presented standard and original methods are based on various mathematical relationships between the components and the pitch and the roll. Their application results in the fact that the realized measurements are characterized by different sensitivity and accuracy (experimentally evaluated to be of 0.18 o-2 o for a tilt sensor built of standard MEMS accelerometers). Each method is discussed in detail with regard to the respective sensitivity and accuracy of the measurement, and its application scope is determined. Essential part of the paper are guidelines for an optimal selection of the number and type of MEMS accelerometers, as well as appropriate mathematical formula, to be used in a specific case of tilt measurement.

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Section: Tilt Vs Components Of the Gravity Accelerationmentioning

confidence: 93%

“…(11)] is insignificant and cannot be distinguished on the graphs, what justifies the approximation assumed in Eq. (16) and (19).…”

Section: Experimental Verificationmentioning

confidence: 96%

“…Besides, defining β as roll has been commonly accepted, e.g.,. [11][12][13][14][15] Relation between the considered angles is as follows: 10,16 (1)…”

Section: Tilt Vs Components Of the Gravity Accelerationmentioning

confidence: 99%

“…13,14 The appropriate formulas can be derived from Eq. (14)- (16), or from a transformed form of Eq.…”

Section: Sensitivity Of Determining the Tiltmentioning

confidence: 99%

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Erratum to: Guidelines for tilt measurements realized by MEMS accelerometers

Łuczak

2014

Int. J. Precis. Eng. Manuf.

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“…A MEMS accelerometer senses the acceleration of gravity and an inclination with respect to the gravity direction can hence be detected. Not by chance, the use of MEMS as inclinometer was proposed since the early years of this decade: [4] shows suitable methods of determining tilt angles with accuracy of few tenths of degree arc (from 0.2 ∘ to 2.0 ∘ ).…”

Section: Introductionmentioning

confidence: 99%

Exploiting Performance of Different Low-Cost Sensors for Small Amplitude Oscillatory Motion Monitoring: Preliminary Comparisons in View of Possible Integration

et al. 2016

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We address the problem of low amplitude oscillatory motion detection through different low-cost sensors: a LIS3LV02DQ MEMS accelerometer, a Microsoft Kinect v2 range camera, and a uBlox 6 GPS receiver. Several tests were performed using a one-direction vibrating table with different oscillation frequencies (in the range 1.5-3 Hz) and small challenging amplitudes (0.02 m and 0.03 m). A Mikrotron EoSens high-resolution camera was used to give reference data. A dedicated software tool was developed to retrieve Kinect v2 results. The capabilities of the VADASE algorithm were employed to process uBlox 6 GPS receiver observations. In the investigated time interval (in the order of tens of seconds) the results obtained indicate that displacements were detected with the resolution of fractions of millimeters with MEMS accelerometer and Kinect v2 and few millimeters with uBlox 6. MEMS accelerometer displays the lowest noise but a significant bias, whereas Kinect v2 and uBlox 6 appear more stable. The results suggest the possibility of sensor integration both for indoor (MEMS accelerometer + Kinect v2) and for outdoor (MEMS accelerometer + uBlox 6) applications and seem promising for structural monitoring applications.

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Miniature Transducer of Linear Displacement Based on Miniature Hall Effect Sensors

Bodnicki

Grzybowski

2015

Advances in Intelligent Systems and Computing

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Guidelines for tilt measurements realized by MEMS accelerometers

Cited by 29 publications

References 13 publications

Erratum to: Guidelines for tilt measurements realized by MEMS accelerometers

Erratum to: Guidelines for tilt measurements realized by MEMS accelerometers

Exploiting Performance of Different Low-Cost Sensors for Small Amplitude Oscillatory Motion Monitoring: Preliminary Comparisons in View of Possible Integration

Miniature Transducer of Linear Displacement Based on Miniature Hall Effect Sensors

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