GENERAL PRINCIPLES OF SYNTHESIS OF THE ALGORITHMIC STRUCTURE OF AUTOMATED CONTROL SYSTEMS

Abstract

Automatic control systems play a key role in modern engineering and industrial processes. They enable precise and reliable regulation of object behavior, improving efficiency, safety, and performance. This study examines the theoretical foundations of automatic control, methods of system synthesis, and their practical application in industrial and transportation sectors. The main goal of this research is to study methods for designing and synthesizing automatic control systems and analyze their stability, controllability, and observability. Objectives: review the theoretical foundations of automatic control; investigate methods for mathematical modeling and determination of algorithmic system structure; test theoretical results on practical examples; evaluate prospects for implementing automatic systems in various fields. The study identified key principles of designing algorithmic and functional structures of automatic systems. The advantages of digital control systems, including accuracy, flexibility, and integration with computational tools, were confirmed. Methods for system synthesis were proposed, and performance indicators such as stability, controllability, and observability were analyzed. The results confirmed the reliability of mathematical methods in designing automatic systems. The research deepens the understanding of automatic control theory and confirms the practical applicability of modern synthesis methods. Future prospects include integrating artificial intelligence for adaptive control, synthesizing multi-loop systems, and developing simulation models for predicting system performance. The results can be used to improve automation efficiency in industrial, transportation, and telecommunication applications