Başkent üniversitesi, Mühendislik fakültesi-EEM bölümü, Bağlica kampusu, Eskişehir yolu 20 km, Ankara, Turkey.
ISA Trans. 2010 Oct;49(4):552-8. doi: 10.1016/j.isatra.2010.04.004. Epub 2010 May 13.
Nonlinear sensors and microcontrollers are used in many embedded system designs. As the input-output characteristic of most sensors is nonlinear in nature, obtaining data from a nonlinear sensor by using an integer microcontroller has always been a design challenge. This paper discusses the implementation of six software-based sensor linearization algorithms for low-cost microcontrollers. The comparative study of the linearization algorithms is performed by using a nonlinear optical distance-measuring sensor. The performance of the algorithms is examined with respect to memory space usage, linearization accuracy and algorithm execution time. The implementation and comparison results can be used for selection of a linearization algorithm based on the sensor transfer function, expected linearization accuracy and microcontroller capacity.
许多嵌入式系统设计都使用非线性传感器和微控制器。由于大多数传感器的输入-输出特性本质上是非线性的，因此使用整数微控制器从非线性传感器获取数据一直是设计挑战。本文讨论了六种基于软件的传感器线性化算法在低成本微控制器中的实现。通过使用非线性光学测距传感器对线性化算法进行了比较研究。根据传感器传递函数、预期线性化精度和微控制器容量，使用算法的内存空间使用、线性化精度和算法执行时间来检查算法的性能。实现和比较结果可用于选择基于传感器传递函数、预期线性化精度和微控制器容量的线性化算法。
