A Readout System Design for LTCC-Based Piezoresistive Accelerometer

2014 ◽  
Vol 609-610 ◽  
pp. 997-1001
Author(s):  
Bao Xing Zhou ◽  
Yue Xia Zhang ◽  
Ru Niu Fang
Keyword(s):  
System Design ◽  
Thick Film ◽  
Temperature Compensation ◽  
Wireless Transmission ◽  
Executive Processes ◽  
Readout System ◽  
Process Technology ◽  
Temperature Drift ◽  
Time Curve ◽  
Display Window

This paper reports a readout system for a piezoresistive accelerometer which is fabricated by LTCC thick-film process technology. The authors first introduce a LTCC compatible design of this new kind of accelerometer, which is based on piezoresistive phenomenon. As the performance of the accelerometer circuitry is affected by temperature, a readout system is introduced for compensating the temperature drift and the non-linearity of this piezoresistive accelerometer by using the MAX1452 processor. The authors give the principles of the temperature compensation and the executive processes. The readout system also includes a ZigBee wireless transmission system and a real-time curve display window. Some tests on the system are carried out and the results manifest that the readout system designed in this paper is workable.

scholarly journals Long Term Stable Δ-Σ NDIR Technique Based on Temperature Compensation

2019 ◽  
Vol 9 (2) ◽  
pp. 309 ◽  
Author(s):  
Chih-Hsiung Shen ◽  
Jun-Hong Yeah
Keyword(s):  
Temperature Compensation ◽  
Feedback System ◽  
Temperature Drift ◽  
Gas Concentration ◽  
Long Term Stability ◽  
Startup Time ◽  
Loop Feedback ◽  
Infrared Heater ◽  
Previous Design

For a fast and long term stable Non Dispersive Infrared (NDIR) technology of gas concentration measurement, the temperature compensation is required. A novel proposed Δ-Σ NDIR system was investigated and built with a closed-loop feedback system to stabilize the signal readings without temperature drift. The modulation of the infrared heater gives a corresponding signal of gas concentration based on our proposed Δ-Σ conversion algorithm that was affected by the drift of temperatures for the infrared sensor. For our study, a new temperature compensation model was built and verified that formulates the relationship between gas concentration and temperature of sensor. The results show that our proposed Δ-Σ can measure efficiently with half of the startup time than our previous design and maintain long term stability.

Design of Intelligent Transportation Wireless Module Based on STM32F207

2014 ◽  
Vol 538 ◽  
pp. 494-497
Author(s):  
Yu Ru Wang ◽  
Ping Li ◽  
Zhen Ping Lan ◽  
Dong Ming Lei
Keyword(s):  
System Design ◽  
Intelligent Transportation ◽  
Wireless Transmission ◽  
Wireless Module

This paper presents a system design of intelligent bus wireless transmission module based on STM32F207, and introduced the functional of each modules of the system. And how the system modules work on hardware and software and interfaces key technical is introduced in detail.

Crystal Oscillator with Temperature Compensation Realised in Thick Film Technology

1992 ◽  
Vol 9 (3) ◽  
pp. 8-11
Author(s):  
M. Pavšek ◽  
D. Belavič ◽  
U. Kunaver ◽  
M. Hrovat
Keyword(s):  
Thick Film ◽  
Temperature Compensation ◽  
Crystal Oscillator ◽  
Thick Film Technology

Temperature Drift Compensation Based on Artificial Fish Swarm Algorithm for Quartz Flexible Accelerometer

2014 ◽  
Vol 513-517 ◽  
pp. 4030-4034 ◽  
Author(s):  
Xu Dong Yu ◽  
Jin Long Li ◽  
Shu Kui Yan ◽  
Guo Wei ◽  
Geng Li
Keyword(s):  
Temperature Compensation ◽  
Stepwise Regression ◽  
Temperature Drift ◽  
Artificial Fish Swarm Algorithm ◽  
Sensor Performance ◽  
Artificial Fish Swarm ◽  
Drift Compensation ◽  
Drift Instability ◽  
Relationship Of ◽  
The Relationship

Temperature is an important factor for affecting the accuracy of quartz flexible accelerometer. The relationship of quartz flexible accelerometers drift to temperature should be established accurately which can improve the precision of inertial navigation system. In order to reduce the temperature sensitivity and improve the sensor performance, temperature drift compensation method based on artificial fish swarm (AFS) algorithm is established and the steps and methods are given. The traditional modeling method of stepwise regression is also investigated to provide a comparison with the AFS algorithm. The result shows that the temperature compensation model by AFS algorithm is accurate. The drift instability of accelerometer output is reduced from 160.2ug to 18.0ug over the temperature range from-20°Cto +50°C. The results of the stochastic temperature tests show that this method has reduced the influence of temperature variation effectively and improved the accelerometer accuracy.

scholarly journals Fusion Algorithm-Based Temperature Compensation Method for High-G MEMS Accelerometer

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Qing Lu ◽  
Chong Shen ◽  
Huiliang Cao ◽  
Yunbo Shi ◽  
Jun Liu
Keyword(s):  
Temperature Compensation ◽  
Signal Reconstruction ◽  
Measurement Data ◽  
Wavelet Thresholding ◽  
Fusion Algorithm ◽  
Temperature Drift ◽  
Mems Accelerometer ◽  
Accelerometer Signal ◽  
Mems Accelerometers ◽  
And Performance

In recent years, High-G MEMS accelerometers have been widely used in aviation, medicine, and other fields. So it is extremely important to improve the accuracy and performance of High-G MEMS accelerometers. For this purpose, we propose a fusion algorithm that combines EMD, wavelet thresholding, and temperature compensation to process measurement data from a High-G MEMS accelerometer. In the fusion algorithm, the original accelerometer signal is first decomposed by EMD to obtain the intrinsic mode function (IMF). Then, sample entropy (SE) is used to divide the IMF components into three segments. The noise segment is directly omitted, wavelet thresholding is performed on the mixing segment, and a GA-BP performs temperature compensation on the drift segment. Finally, signal reconstruction is implemented. Later, a comparative analysis is carried out on the results from four models: EMD, wavelet thresholding, EMD + wavelet thresholding, and EMD + wavelet thresholding + temperature compensation. The experimental data show that the acceleration random walk change from 1712.66 g/h/Hz0.5 to 79.15 g/h/Hz0.5 and the zero-deviation stability change from 49275 g/h to 774.7 g/h. This indicates that the fusion algorithm (EMD + wavelet thresholding + temperature compensation) not only effectively suppresses the noise of high-frequency components but also compensates for temperature drift in the accelerometer.

Research of Temperature Compensation Methods on High Accuracy Pressure Sensors

2011 ◽  
Vol 317-319 ◽  
pp. 1084-1087
Author(s):  
Ji Lin Wang ◽  
Shu Lan Xia
Keyword(s):  
Temperature Compensation ◽  
Spline Interpolation ◽  
Pressure Sensors ◽  
Zero Point ◽  
Temperature Drift ◽  
Advantages And Disadvantages ◽  
Piezoresistive Pressure Sensor ◽  
Polynomial Curve ◽  
Environment Temperature ◽  
System Temperature

The temperature characteristics of semiconductor will make the zero point and sensitivity of the piezoresistive pressure sensor drift with the temperature,that is the main factor of the measurement error caused by pressure sensor.For high precision pressure detecting system, temperature drift has become the important obstacles when needing to increase the performance of the system,especially in the domain where the environment temperature changes greatly . Based on comparing the advantages and disadvantages with other methods ,this paper puts forward a kind of temperature compensation method which combines polynomial curve fitting and cubic spline interpolation, it can improve the performance of the system well.

On the Temperature Compensation of Parallel Piezoresistive Microcantilevers in Biosensors

2007 ◽  
Author(s):  
S. M. Yang ◽  
C. Chang ◽  
T. I. Yin
Keyword(s):  
Temperature Compensation ◽  
Stress Measurement ◽  
Temperature Drift ◽  
Pattern Design ◽  
Stripe Pattern ◽  
Offset Voltage ◽  
Thermal Capacitance ◽  
Cmos Sensor ◽  
Signal Conditioning Circuit

Microcantilever with embedded piezoresistor has been applied to in-situ surface stress measurement of biochemical reaction, where parallel microcantilever design by using an active cantilever for biosensing and another reference cantilever for noise cancellation has previously been proposed. This paper shows that the measurement is sensitive to the temperature effect induced by the piezoresistor. The temperature difference between the two cantilevers can reach 40°C at 10V operation because of their difference thermal capacitance. For the microcantilever of 125×65×0.75 μm, the offset voltage of the parallel microcantilever is 1.65 mV and the temperature drift is 0.01 mV/°C. An improved parallel microcantilever design is developed using the stripe pattern design on the immobilized layer and the signal conditioning circuit for temperature compensation in biosensors. Analyses and experiments show that the performance of a CMOS sensor chip can be significantly improved.

Research on Fluidic Gyroscope Signal Processing Circuit

2012 ◽  
Vol 542-543 ◽  
pp. 924-927
Author(s):  
Xing Wang ◽  
Lin Hua Piao ◽  
Quan Gang Yu
Keyword(s):  
Signal Processing ◽  
Temperature Compensation ◽  
Voltage Regulator ◽  
Electronic Components ◽  
Temperature Drift ◽  
Voltage Signal ◽  
Voltage Follower ◽  
Signal Output ◽  
Signal Processing Circuit ◽  
Processing Circuit

The fluidic gyroscope signal processing circuit was researched. This paper aims at the circuit problem for lots of electronic components and output signal instability, the adjustable voltage regulator circuit was used and realized the different voltage signal output, the stabilivolt and voltage follower were used and realized the temperature compensation for the voltage signal. The experiment results show that compared with the existing voltage regulator circuit, the PCB area reduces 16% and output signal’s temperature drift decreases 10% in the improved voltage circuit. This signal processing circuit is easy to apply and available for the others gyroscopes, whose repeatability precision is enough high.

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