摘要
针对智能仪表不便于进行复杂计算、内存有限和实时性要求高等特点,在比较了几种常用的非线性校正方法的基础上,通过对智能仪表的非线性特性曲线的一般性分析,运用分段直线逼近曲线的方法,给出了一种通用的智能仪表非线性自动校正算法。同时讨论了该算法的原理、修正方法及校正参数的存储结构,并详细介绍了该算法在称重仪表中的具体应用。实践证明这种算法简单、实用,效果良好。
Aiming at some of the features of intelligent instruments, i. e. , not easy for complicated calculation, limited memory, and high requirement of real-time performance, on the basis of comparison of some commonly used nonlinear correction methods, and the general analysis for nonlinear characteristic curves of intelligent instrument, by adopting the method of piecewise linear approximating, the software algorithm of automatic nonlinear correction for intelligent instruments is given. In addition, the principle of the algorithm, correction method and the storage structure of correction parameters are discussed. The specific application of the algorithm in weighing instrument is introduced in detail. The practice verifies that the algorithm is simple, practical and effective.
出处
《自动化仪表》
CAS
北大核心
2009年第6期75-78,共4页
Process Automation Instrumentation
关键词
分段校正
直线方程
智能仪表
非线性
自动校正
Piecewise correction Linear equations Intelligent instrument Nonlinear Automatic correction