Aviation radio control systems as complex technical systems. Part 1. Analysis of the possibilities of multicriteria optimization

Abstract

The need to take into account the increasing requirements for expanding the field of application conditions, taking into account an increasingly wide range of possible conditions, increasing requirements for the volume and reliability of the information used, combined with increasing requirements for improving the efficiency of operation, predetermined the emergence of a new type of information management systems, called "complex technical systems" (CTS). In general, the CTS is understood as a set of functionally related control and information subsystems united by a common goal of joint solution of a group of tasks. The most striking example of CTS is aviation radio control (RC) systems, which are able to solve the general task of destroying targets in several stages, using various methods of route control and guidance on them in conditions of high initial uncertainty due to a variety of possible objects of influence of varying degrees of importance and the random nature of their spatial location. At the same time, the task of destroying objects of the opposing side is solved, as a rule, in several stages, including long-range (command), short-range guidance (homing) and the use of weapons. It should be emphasized that the choice of indicators of excellence that reflect various aspects of the functioning of the CTS (aircraft RC systems) is by no means a trivial task. Within the framework of the "system – environment" approach, which takes into account the specific conditions of the use of the CTS, in addition to performance indicators that reflect the degree of compliance of the system with its purpose, such indicators as functional stability (survivability), dynamism and informativeness are increasingly in demand, which, as a rule, contradict each other. It should be noted that due to the heterogeneity of the tasks being solved and the inconsistency of the requirements, it is necessary to take into account the need to use a multicriteria approach to the synthesis of control methods and information support algorithms. However, the methods of multicriteria optimization used in practice have a number of significant drawbacks that make it difficult to use them in the development of promising CTS (RC systems). At the same time, it is very tempting to use the mathematical apparatus of the statistical theory of optimal control (STOC) for multicriteria optimization of the CTS, which allows to avoid the above disadvantages to some extent. The expediency of using STOC for solving multicriteria problems is due to the fact that the very formulation of the STOC problem and the resulting optimization procedures already contain a solution to the two-criterion problem of obtaining a system that is jointly the best in both accuracy and costeffectiveness of management. The analysis of various approaches to solving multicriteria problems has shown that the most rational is to reduce them to a singlecriteria problem with further use as a basic variant of local STOC optimization.