27
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Thermal Compensation of Low-Cost MEMS Accelerometers for Tilt Measurements

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Low-cost MEMS accelerometers have the potential to be used in a number of tilt-based monitoring applications but have the disadvantage of being very sensitive to temperature variation (thermal drift). In this paper, we analyze the thermal behavior of a low-cost sensor in the range −10 to +45 °C in order to provide a simple compensation strategy to mitigate this problem. For sensor analysis, we have developed a miniaturized thermal chamber, which was mounted on a tilting device to account for tilt angle variation. The obtained raw data were used to construct low degree polynomial equations that by relating the measurement error induced by thermal drift (i.e., acceleration residuals) to temperature and inclination (of each specific axis), can be used for thermal compensation. To validate our compensation strategy, we performed a field monitoring test and evaluated the compensation performance by calculating RMS errors before and after correction. After compensation, the RMS errors calculated for both the X and Y axes decreased by 96%, indicating the potential of using a simple set of equations to solve common drawbacks that currently make low-cost MEMS sensors unsuitable for tilt-based monitoring applications.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: not found
          • Article: not found

          MEMS inertial sensors: A tutorial overview

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Inclination measurement of human movement using a 3-D accelerometer with autocalibration.

            In the medical field, accelerometers are often used for measuring inclination of body segments and activity of daily living (ADL) because they are small and require little power. A drawback of using accelerometers is the poor quality of inclination estimate for movements with large accelerations. This paper describes the design and performance of a Kalman filter to estimate inclination from the signals of a triaxial accelerometer. This design is based on assumptions concerning the frequency content of the acceleration of the movement that is measured, the knowledge that the magnitude of the gravity is 1 g and taking into account a fluctuating sensor offset. It is shown that for measuring trunk and pelvis inclination during the functional three-dimensional activity of stacking crates, the inclination error that is made is approximately 20 root-mean square. This is nearly twice as accurate as compared to current methods based on low-pass filtering of accelerometer signals.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Precaution and early warning of surface failure of slopes using tilt sensors

                Bookmark

                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                02 August 2018
                August 2018
                : 18
                : 8
                : 2536
                Affiliations
                Department of Science and Technology, University of Sannio, 82100 Benevento, Italy; giuseppe.ruzza@ 123456unisannio.it (G.R.); paola.revellino@ 123456unisannio.it (P.R.); guadagno@ 123456unisannio.it (F.M.G.)
                Author notes
                [* ]Correspondence: luigi.guerriero@ 123456unisannio.it ; Tel.: +39-333-976-0824
                Author information
                https://orcid.org/0000-0002-5837-5409
                https://orcid.org/0000-0001-5195-3758
                Article
                sensors-18-02536
                10.3390/s18082536
                6111670
                30072680
                fa9ec5e3-daa0-49b2-b583-bd31757fbe5b
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 11 June 2018
                : 01 August 2018
                Categories
                Article

                Biomedical engineering
                mems,accelerometer,compensation,polynomial equation,thermal chamber,monitoring,tilt measurement,arduino®

                Comments

                Comment on this article