Comparative Analysis of Structural and Logical Approach to Rocket and Space Technology Modeling
Abstract
Introduction: The quality of technology control algorithms in rocket and space technology, as well as processing and analysis of measurement data, is determined not only by the results of testing the algorithms but also by the way they are specified. A simple model of the technological process which is at the same time fully adequate to the domain is a tool to describe the control algorithm, greatly increasing its quality. One of the promising directions in the modeling of processes is using the structural and logical approach. Purpose: The goal is to classify the known approaches to technological process modeling, taking into account the specific features of the domain, and to identify their strengths and weaknesses using practical implementation examples. Results: From the perspective of the classical definition of a dynamic system, a technological process in a domain is generally a time-dependent nonlinear finite process with discrete time. On this base, the known approaches to process modeling are classified into four groups: functional, algebraic, temporal and structural. These approaches are interpreted with references to illustrative examples of their application in Russian space industry, indicating their advantages and disadvantages. It is recommended to choose or create a technological process model step by step. The structural and logical approach is defined as a combination of the complex, logical-algebraic and logical approaches. Practical relevance: The obtained results can be used to improve the qualimetry of the technological process modeling approach developed by the readers, in order to substantiate the choice among the known approaches to the modeling, and to check the relevance and prospects of theoretical and practical research on the development of special software in this field.Published
21-10-2016
How to Cite
Shmelev, V., & Okhtilev, M. (2016). Comparative Analysis of Structural and Logical Approach to Rocket and Space Technology Modeling. Information and Control Systems, (5), 35-44. https://doi.org/10.15217/issn1684-8853.2016.5.35
Issue
Section
System and process modeling