Thermal Compensation of Low-Cost MEMS Accelerometers for Tilt Measurements

Ruzza, Giuseppe; Guerriero, Luigi; Revellino, Paola; Guadagno, Francesco M.

doi:10.3390/s18082536

Cited by 40 publications

(33 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Raw temperature is also converted in °C considering the conversion factor of 8 LSB/°C. As indicated by the authors in [19], to solve a drawback consisting in a temperature measurement offset, we introduced an additional coefficient, estimated in 21.00 °C, that needs to be added to the converted value. This coefficient was estimated in laboratory-controlled conditions.…”

Section: Application: Thermal Analysis Of Memsmentioning

confidence: 99%

“…We chose this value as reference following the indication of the manufacturer. In this way, residual at 25 °C equals to zero [19].…”

Section: Application: Thermal Analysis Of Memsmentioning

confidence: 99%

“…On this basis, and following the work of Ruzza et al [19] that indicated the possibility of mitigating thermal drift of MEMS IMU onboard accelerometers on the basis of data derived by a thermal chamber-based analysis, we present a prototype of a tiltable thermal chamber for the automatic analysis of MEMS IMU. The chamber, representing an evolution of the prototype proposed by the authors in [19], allows the automatic evaluation of the thermal behavior of the on-board accelerometer and additional sensors of MEMS IMU in the tilt measurement perspective. We tested the chamber analyzing the behavior of MEMS accelerometers of a number of MEMS IMU characterized by the same part number (i.e., same sensor board).…”

Section: Introductionmentioning

confidence: 96%

See 2 more Smart Citations

A Low-Cost Chamber Prototype for Automatic Thermal Analysis of MEMS IMU Sensors in Tilt Measurements Perspective

Ruzza

Guerriero

Revellino

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

In this work, a low-cost, open-source and replicable system prototype for thermal analysis of low-cost Micro Electro-Mechanical Systems (MEMS) Inertial Measurement Unit (IMU) sensors in tilt measurement perspective is presented and tested. The system is formed of a 3D printed frame, a thermal cell consisting in a Peltier element mounted over a heat sink, and a control and power system. The frame is designed to allow the independent biaxial tilting of the thermal cell through two servomotors. The control board is formed by an Arduino® and a self-made board including a power drive for controlling the thermal unit and servomotors. We tested the chamber analyzing the behavior of multiple MEMS IMU onboard accelerometers suitable for measuring tilt. Our results underline the variability of the thermal behavior of the sensors, also for different sensor boards of the same model, and consequently the need for the adoption of a thermal compensation strategy based on thermal analysis results. These data suggesting the need for the analysis of the thermal behavior of MEMS-based sensors, indicate the potential of our system in making low-cost sensors suitable in medium-to-high precision monitoring applications.

show abstract

Section: Application: Thermal Analysis Of Memsmentioning

confidence: 99%

“…We chose this value as reference following the indication of the manufacturer. In this way, residual at 25 °C equals to zero [19].…”

Section: Application: Thermal Analysis Of Memsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

See 1 more Smart Citation

A Low-Cost Chamber Prototype for Automatic Thermal Analysis of MEMS IMU Sensors in Tilt Measurements Perspective

Ruzza

Guerriero

Revellino

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…These techniques are used to improve the technology capabilities, but, to improve the performance of an accelerometer in application, other techniques are required. Some software techniques have been proposed to obtain thermal compensation parameters for the accelerometers [23,24]. These techniques are based on a polynomial equation in which the parameters are obtained with regression methods.…”

Section: Introductionmentioning

confidence: 99%

Lightweight Thermal Compensation Technique for MEMS Capacitive Accelerometer Oriented to Quasi-Static Measurements

Martinez¹,

Asiain²,

Beltrán

2021

Sensors

View full text Add to dashboard Cite

The application of MEMS capacitive accelerometers is limited by its thermal dependence, and each accelerometer must be individually calibrated to improve its performance. In this work, a light calibration method based on theoretical studies is proposed to obtain two characteristic parameters of the sensor’s operation: the temperature drift of bias and the temperature drift of scale factor. This method requires less data to obtain the characteristic parameters, allowing a faster calibration. Furthermore, using an equation with fewer parameters reduces the computational cost of compensation. After studying six accelerometers, model LIS3DSH, their characteristic parameters are obtained in a temperature range between 15 °C and 55 °C. It is observed that the Temperature Drift of Bias (TDB) is the parameter with the greatest influence on thermal drift, reaching 1.3 mg/°C. The Temperature Drift of Scale Factor (TDSF) is always negative and ranges between 0 and −400 ppm/°C. With these parameters, the thermal drifts are compensated in tests with 20 °C of thermal variation. An average improvement of 47% was observed. In the axes where the thermal drift was greater than 1 mg/°C, the improvement was greater than 80%. Other sensor behaviors have also been analyzed, such as temporal drift (up to 1 mg/h for three hours) and self-heating (2–3 °C in the first hours with the corresponding drift). Thermal compensation has been found to reduce the effect of the latter in the first hours after power-up of the sensor by 43%.

show abstract

“…Cao proposed to use multiple fading factors for a strong tracking Kalman filter (STKF), which can better adapt to the uncertainty of the accelerometer error model [16]. Ruzza obtained original data through the temperature test and established a low-order polynomial equation, combined it with the measurement error caused by thermal drift, and then used them in the temperature drift compensation of the accelerometer [17]. Shen proposed a parallel processing algorithm of the temperature error based on variational mode decomposition (VMD) and an augmented nonlinear differentiator (AND), which can increase the efficiency of temperature error processing [18].…”

Section: Introductionmentioning

confidence: 99%

Temperature Drift Compensation for High-G MEMS Accelerometer Based on RBF NN Improved Method

Zhu

Pang²,

Zhang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

In this paper, the method for compensating the temperature drift of high-G MEMS accelerometer (HGMA) is proposed, including radial basis function neural network (RBF NN), RBF NN based on genetic algorithm (GA), RBF NN based on GA with Kalman filter (KF), and the RBF NN + GA + KF method compensated by the temperature drift model. First, this paper introduces an HGMA structure working principle, conducts a finite element analysis, and produces the results. The simulation results show that the HGMA working mode is the 1st order mode, and its resonant frequency is 408 kHz. The 2nd order mode resonant frequency is 667 kHz, and the gap with the first mode is 260 kHz, indicating that the coupling movement between the two modes is tiny, so the HGMA has good linearity. Then, a temperature experiment is performed to obtain the output value of HGMA. The output values of HGMA are analyzed and optimized by using the algorithms proposed in this paper. The processing results show that the RBF NN + GA + KF method compensated by the temperature drift model achieves the best denoing consequent. The processing results show that the temperature drift of the HGMA is effectively compensated. The final results show that acceleration random walking improved from 17130 g/h/Hz0.5 to 765.3 g/h/Hz0.5, and bias stability improved from 4720 g/h to 57.27 g/h, respectively. The results show that after using the RBF NN + GA + KF method, combined with the temperature drift model, the temperature drift trend and noise characteristics of HGMA are well optimized.

show abstract

Thermal Compensation of Low-Cost MEMS Accelerometers for Tilt Measurements

Cited by 40 publications

References 34 publications

A Low-Cost Chamber Prototype for Automatic Thermal Analysis of MEMS IMU Sensors in Tilt Measurements Perspective

A Low-Cost Chamber Prototype for Automatic Thermal Analysis of MEMS IMU Sensors in Tilt Measurements Perspective

Lightweight Thermal Compensation Technique for MEMS Capacitive Accelerometer Oriented to Quasi-Static Measurements

Temperature Drift Compensation for High-G MEMS Accelerometer Based on RBF NN Improved Method

Contact Info

Product

Resources

About