基于MATLAB人工智能接口的ISFET自动输出校准系统在可重构FPGA器件上的实现

Deepa Saini, A. Rupani, Gajendra Sujediya, Tushar Sharma
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引用次数: 0

摘要

ISFET领域是近年来发展起来的一项很有前途的技术,广泛应用于离子传感应用,如PH测量、TPS和水质测量以及其他离子敏感的化学和生物测量。利用isfet形成一个集成的ph传感器是一个很有前途的途径。为了实现基于ISFET的ph传感器,需要对实际ph值的每实例测量的第v个不同/ id变化进行校准。这种浪费引入了ISFET pH传感器动态自动校准的独特概念,使用可重构FPGA硬件架构与人工智能相结合。所提出的工作采用实时在线校准系统。其中,ISFET的输出电压由ADC在不同ph值下采样,并将其数字化并发送到校准pc/笔记本电脑,而在人工神经网络中,学习电压输出ph曲线,并预测不同ph值下的电压值与电压输出值的对比,并在FPGA闪存中编程LUT(查找表)。校准后,器件从ADC捕获ISFET Vout值并搜索查找表,计算补偿值并馈送DAC,按传统标准实时补偿ph传感器的电压输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An ISFET automated output calibration system implementation on reconfigurable FPGA device with MATLAB artificial intelligence interfacing
ISFET area is a promising technology developed recently, with widespread application in ion based sensing applications such as PH measurement, TPS & water quality measurement & other ION sensitive chemical and biological measurements. To utilize ISFETs to form an integrated ph sensor is a promising avenue. To implement ISFET based ph sensors the need of calibration of Vth various / id variation of with per instance measurement of actual ph value is required. This waste introduces a unique concept of dynamic auto calibration of ISFET pH sensor, using reconfigurable FPGA hardware architecture in conjunction with artificial intelligence. The proposed work employs real time on the fly calibration system. Where in the output voltage of ISFET is sampled by ADC at various ph level & the same are digitized and sent to calibration pc/laptop, whereas in an artificial neural network learns the voltage output ph curve, & predicts the voltage values at various ph levels vs. Voltage output values & programs LUT (look up table) in FPGA flash. After calibration, the device captures ISFET Vout values from ADC and searches the lookup table, computes compensation value & feed DAC to compensate the voltage output of ph sensor as per tradition standards in real time.
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