OPTIMISATION OF ASTATIC CONTROLLERS IN AUTOMATIC CONTROL SYSTEMS

This article examines the influence of various factors on the efficiency of optimizing station controllers in automatic control systems. The main focus is on minimizing static errors and improving the reliability of controllers. Optimization methods for PID and PI2D controllers are discussed, including the use of modern approaches such as genetic algorithms. The necessity of compromise solutions to achieve high-quality system responses to various impacts is investigated. It was also suggested that there is a need for an integrated approach to setting up controllers in order to increase their reliability and flexibility in conditions of dynamically changing processes. As a result of the research, a comprehensive approach has been developed to improve the reliability and adaptability of controllers in dynamically changing processes.