ALGORITHMIC METHODS OF LINEARIZATION CHARACTERISTICS OF MEASURING SYSTEMS TRANSFORMATION
Journal Title: Вісник Національного Авіаційного Університету - Year 2018, Vol 76, Issue 3
Abstract
There are technological, constructive, circuit, structur al, structural-algorithmic and algorithmic methods of linearizing the MS transformation characteristic [1,2,3,4]. Only algorithmic methods based on the processing of measurement information obtained from th e measuring system (MS) can meet the requirements for linearization requirements, such as eliminating the need for usi ng high-precision model measures and not involving the measured value from the input of th e MS and interference in the structure and principles of their construction. Known algorithmic linearization me thods require reproduction of a non-linear function, an inverse of the MS transformation function, or a no n-linear correction function. The article considers the proposed methods of linearization excluding the need to reproduce nonlinear functions that differ in their applicability to a wide class of nonlinear characteris tics, without limiting the degree of their nonlinearity, which are based on the introduction of analytically determined and memorized microprocessor numerical corrections into the measurement result for each sec tion of the fragmentation of the MS transformation characteristic. Depending on the carried out comput ational operations, these methods are called “additive” (summation or subtraction), “multiplicative” (mu ltiplication), “additive-multiplicative” (summation and multiplication within one section), “combined: (in some sections multiplication, and in others-summation).
Authors and Affiliations
Vagif Abbas Abbasov
Keywords
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- EP ID EP510293
- DOI 10.18372/2306-1472.76.13157
- Views 131
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