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dsPIC based piecewise linear interpolation for sensor applications

机译:基于dsPIC的分段线性插值,用于传感器应用

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摘要

Industrial applications of sensing and measurement with non-linear sensor output distorted by noise require linearization processes. Among various linearization techniques Piecewise linearization is found suitable because of its faster execution speed using a simple look-up table and it significantly reduces the program and RAM memory requirement. The paper presents Microcontroller with on chip digital signal processor dsPIC30F6014 based piecewise linearization for sensor-based applications. To implement the technique, the thermocouple sensor is used to measure temperature and interfaced with Microchip's dsPIC30F6014 processor kit under MPLAB IDE development tool. Availability of software tools such as real-time operating systems, TCP/IP, and prepackaged DSP algorithms has further enhanced the usability of such architectures in a wide extent of sensor applications. Further, the advantage of DSP and microcontroller core together can be used for finite impulse response (FIR) or infinite impulse response (IIR) filtering to remove signal noise or computation of a fast Fourier transform (FFT) in processing and normalization of input measured data. Finally, result obtained with thermocouple for temperature measurement is presented with accuracy of +/- 1% of full scale (0-200℃ ). The developed system is cost effective and supports both RS232 and Wireless interface for connecting to host/wireless multi sensor network applications.
机译:带有因噪声而失真的非线性传感器输出的传感和测量的工业应用需要线性化过程。在各种线性化技术中,发现分段线性化是合适的,因为它可以使用简单的查找表来加快执行速度,并且可以显着减少程序和RAM的内存需求。本文介绍了基于片上数字信号处理器dsPIC30F6014的分段控制器线性化的微控制器。为了实现该技术,热电偶传感器用于测量温度,并在MPLAB IDE开发工具下与Microchip的dsPIC30F6014处理器套件连接。诸如实时操作系统,TCP / IP和预打包的DSP算法之类的软件工具的可用性进一步增强了此类体系结构在各种传感器应用中的可用性。此外,DSP和微控制器内核的优势可一起用于有限脉冲响应(FIR)或无限脉冲响应(IIR)滤波,以消除信号噪声或在对输入测量数据进行处理和归一化时计算快速傅里叶变换(FFT) 。最后,用热电偶获得的温度测量结果的精度为满量程(0-200℃)的+/- 1%。开发的系统具有成本效益,并支持RS232和无线接口以连接到主机/无线多传感器网络应用程序。

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