PIC单片机芯片在电涡流传感器温度补偿中的应用

为提高传感器的温度性能，利用PIC单片机对传感器进行温度补偿。内嵌基于一定算法的用户程序，以达到对于特定温度的特性补偿、软件修正及实时控制，取得了理想的测量和控制效果。     

105g压阻式加速度微传感器实时自补偿技术的研究

针对测试10^5g压阻式加速度微传感器的温度补偿问题，本文从温度补偿的基本原理出发，通过推理和演绎，得出温度补偿公式。提出用软件编程和DSP的方法对传感器进行温度补偿，实现了传感器温度补偿的实时性和智能化。并提供了相应的实验数据，证明所提出的实时自补偿方法是切实可行的。     

基于MAX1457的加速度硅微传感器的信号处理

测高g值的加速度硅微传感器采用单晶硅材料制成，直接输出信号小，存在严重的温度误差。采用MAX1457专用传感器信息处理器，它可以补偿传感器的温度误差和非线性误差。本文分析了MAX1457的工作原理，设计了获得补偿参数的系统，最后采用高速的CMOS逻辑或门对8个阵列传感器信号进行选择。     

大动态范围的一体化测振仪

本文介绍了一种适合于工业现场的手持式一体化振动测试仪表，对速度传感器输出起始段的非线性进行了有效的补偿，使得整机在大动态测量范围内达到了较高的测量精度。     

大动态范围的一体化测振仪

本文介绍了一种适合工业现场的手持式一体化振动测试仪表。对速度传感器输出起始段的非线性进行了有效的补偿，使得整机在大动态测量范围内达到了较高的测量精度。     

基于nRF903的无线倾斜度测量系统

文中介绍了一种以nRF903无线数传芯片为核心,利用集成倾角传感器和温度传感器设计出带有温度补偿功能的倾角测量系统硬件电路,并以S3C2410为核心设计出数据接收终端,对数据进行处理.该系统稳定性好,通信效率高,可广泛应用于工业现场测控领域.     

关于请作者提供身份证号码及其他个人基础信息的启事

一、工作原理 PTB220感应元件采用VISALA研制的硅电容绝对压力传感器BAROCAP，是通过硅微加工而成。PTB220的工作原理是基于一个先进的RC振荡电路和三个参考电容，并且电容压力传感器及电容温度传感器连续测量，微处理器自动进行压力线性补偿及温度补偿。当得到压力变化时．硅薄膜弯曲使传感器真空室高度发生变化，导致传感器电容值发生变化。通过测量转换，可以得到压力值。     

DS1820芯片在电化学传感器温度补偿中的应用

利用单总线数字温度传感器DS1820芯片以及微处理器,可以用软件方法实现对传感器由于环境温度变化带来的测量误差的补偿.文中以电化学传感器为例,提出了具体的补偿方案.     

扩散硅绝对压力传感器的补偿方法研究

本文简要介绍了扩散硅绝对压力传感器的工作原理与结构,重点分析了传感器的零位温度系数与灵敏度温度系数及其温度补偿的方法,解决了此类传感器的稳定性问题。     

基于钹式换能器的振动加速度传感器温度特性研究

使用2-（0）-2连通型的金属．陶瓷压电复合材料作为敏感元件构成压电振动加速度传感器。研究了这种新型压电振动加速度传感器的输出电压的温度特性．将DS18820集成到传感器内部用于内部环境温度的测量。利用单片机对传感器零位输出电压进行记录，得到传感器零位电压温度特性曲线。采用了基于最小二乘原理的分段线性插值法，对其温度特性的非线性进行了有效地补偿。试验结果表明，经过温度补偿后，在20～80℃范围内，零点输出电压温度误差由原来的9．8％降到了0．8％。     

温度对石墨烯膜光纤F-P声压传感器灵敏度影响研究

石墨烯具有优异的机械、电学与光学等传感特性,有希望成为下一代可穿戴电子设备的功能敏感材料。石墨烯膜Fabry-Perot(F-P)声压传感器具有高灵敏度、小型化和抗电磁干扰等优点,但会受到温度漂移的影响。温度对传感器的影响主要体现在F-P腔长变化,引起工作点漂移,导致传感器光学灵敏度发生变化,以及改变石墨烯膜预应力。本文制备了石墨烯膜光纤F-P声压传感器探头,通过声压测试表明,温度改变了悬浮石墨烯膜的机械力学特性,在1 kHz处使其机械灵敏度由1.80 nm/Pa提高至2.44 nm/Pa。     

便携式空气密度精密测量仪的研制

作研制的便携式空气密度精密测量仪实现了高精度、低温漂的计量特性;仪器的软件具有32位数据处理功能,并直接使用传感器的工作曲线,消除了传感器的非线性误差;仪器具有良好的使用功能、完善的操作系统和简明的操作界面。     

Pressure-Change Detection by Infrared Sensors of Thermal Type, Thermistor Bolometer and Pyroelectric Sensor

The effect of a pressure change of air upon infrared sensors of thermal type, thermistor bolometer, and pyroelectric sensor, has been investigated. Experimental results indicate that the pressure dependence of the sensors is related to the temperature change of the sensor. The temperature change is caused by the pressure change of air surrounding the sensor. These results show that infrared sensors of the thermal type with high detectivity can be used as air-pressure change detectors.     

An intelligent pressure sensor using neural networks

In this paper, we propose a scheme of an intelligent capacitive pressure sensor (CPS) using an artificial neural network (ANN). A switched-capacitor circuit (SCC) converts the change in capacitance of the pressure-sensor into an equivalent voltage. The effect of change in environmental conditions on the CPS and subsequently upon the output of the SCC is nonlinear in nature. Especially, change in ambient temperature causes response characteristics of the CPS to become highly nonlinear, and complex signal processing may be required to obtain correct readout. The proposed ANN-based scheme incorporates intelligence into the sensor. It is revealed from the simulation studies that this CPS model can provide correct pressure readout within ±1% error (full scale) over a range of temperature variations from -20°C to 70°C. Two ANN schemes, direct modeling and inverse modeling of a CPS, are reported. The former modeling technique enables an estimate of the nonlinear sensor characteristics, whereas the latter technique estimates the applied pressure which is used for direct digital readout. When there is a change in ambient temperature, the ANN automatically compensates for this change based on the distributive information stored in its weights     

Control of thermoelastic deformation in a smart composite disk by a stepwise applied electric potential distribution

Summary This paper deals with a smart composite disk for control of a thermoelastic deformation resulting from an unknown thermal load. The disk consists of a structural layer onto which piezoelectric sensor and actuator layers are bonded. First, an unknown heating temperature distribution is inferred from a sensor output. The thermoelastic displacement on the bottom free surface is then controlled by applying electric potentials to electrodes on the actuator layers. For a composite disk with one actuator layer, applied electric potentials are determined by solving a direct optimization problem with and without stress constraints, respectively. The introduction of the stress constraints leads to a deterioration in the effectiveness of the displacement control. In order to resolve this issue, an approximate optimum design problem of a composite disk with two actuator layers is solved under stress constraints. As a result, the thermoelastic displacement is satisfactorily controlled to the desired distribution. Dedicated to Professor Franz Ziegler on the occasion of his 70th birthday     

Local temperature determination of optically excited nanoparticles and nanodots

A thin film of Al(0.94)Ga(0.06)N embedded with Er(3+) ions is used as an optical temperature sensor to image the temperature profile around optically excited gold nanostructures of 40 nm gold nanoparticles and lithographically prepared gold nanodots. The sensor is calibrated to give the local temperature of a hot nanostructure by comparing the measured temperature change of a spherical 40 nm gold NP to the theoretical temperature change calculated from the absorption cross section. The calibration allows us to measure the temperature where a lithographically prepared gold nanodot melts, in agreement with the bulk melting point of gold, and the size of the nanodot, in agreement with SEM and AFM results. Also, we measure an enhancement in the Er(3+) photoluminescence due to an interaction of the NP and Er(3+). We use this enhancement to determine the laser intensity that melts the NP and find that there is a positive discontinuous temperature of 833 K. We use this discontinuous temperature to obtain an interface conductance of ～10 MW/m(2)-K for the gold NP on our thermal sensor surface.     

A Novel Inverse-Magnetostrictive Force Sensor

The change in magnetic permeability of a material under stress (inverse magnetostriction) offers the potential for a high-performance, low-cost force sensor capable of being used in harsh real-world environments. The existing force sensor technologies are limited in their use in commercial products by either cost issues or susceptibility to electromagnetic noise. Inverse Magnetostriction has been used to measure strain in controlled environments since its discovery by Joule in 1847, but not in practical applications due to a lack of data on how magnetic material properties change with environmental conditions such as temperature. Utilizing an innovative noise-reducing self-inductance design, this paper presents the basis for an inverse-magnetostrictive compressive load sensor. A lumped-parameter model for the change in sensor inductance under load, due to both mechanical and magnetic effects, is derived. The material properties of a magnetostrictive iron alloy are empirically determined over a broad range of loads and temperatures. The model and material properties are confirmed by testing a prototype force sensor. The prototype measures compressive forces from 100 to 25 000 N over a temperature range of 20 degC to 120 deg with a typical error of +/-2% (4% max). The sensor does experience significant thermal hysteresis for which the model does not currently account. This work was motivated by the need for a force sensor in an automobile electric brake system and used a single iron alloy (50% Ni), but the model and testing procedure provide a roadmap for future research to improve the performance and capabilities of such a sensor     

表面温度动态校准中导热平板对时间常数测试影响分析

针对阶跃变化表面温度装置中的表面温度传感器的数学模型进行了建模,分析了导热平板对被测表面温度传感器时间常数的影响,通过对不同时间常数的表面温度传感器进行数值仿真计算,得出当被测表面温度传感器时间常数大于20倍导热平板时间常数时,导热平板对被测表面温度传感器时间常数的影响可以忽略。     

Removal of Temperature and Earth's Field Effects of a Magnetoelastic pH Sensor

Magnetoelastic sensors are widely used for chemical and biological monitoring including measurement of pH, glucose, carbon dioxide, and Escherichia coli by applying a mass- or elasticity-changing coating that shifts the sensor's resonant frequency in response to the target analytes. However, the sensor's resonant frequency also varies with the ambient temperature and earth's magnetic fields, reducing the accuracy and reliability of the measurements. This paper presents a technique to eliminate the effects of temperature and earth's magnetic field on the magnetoelastic sensor by detecting the change in its higher order harmonic magnetic fields, which are generated by the sensor when excited by a low frequency magnetic field. The higher order harmonic response of the magnetoelastic sensor is a function of temperature and DC field but remains unaffected by the mass/elasticity change from the chemical or biological responsive coating, thus allowing the calibration of both interfering quantities. This paper illustrates the application of this technique on a magnetoelastic pH sensor, where the results show the calibrated measurements are independent from the ambient temperature and DC magnetic fields such as the earth's field.     

复合材料热压成型过程用光纤压力测试技术

针对复合材料热压过程的工艺特性,建立了光纤微弯传感压力测试系统,并对系统在复合材料成型过程的适用性进行了评价。结果发现,该系统适合应用于温度小于120℃、压力范围0.005~0.5 MPa的测试环境,具有较好的重复性和稳定性;光纤在调制器中的排布密度、测试环境温度及光纤微弯形变回弹对输出光功率有一定的影响。在以上研究基础上拟合并验证了测试系统载荷-光功率方程。