ADAPTIVE, WITH HIGH LEVEL OF ARTIFICIAL INTELLIGENCE CONTROL SYSTEM OF THE SHIP ELECTRIC DRIVE
Adaptive control systems of ship electric drives are objects of the research The aim of the study is to develop a concept based on self-organizing optimum regulator with extrapolation, proposed by Academician A. A. Krasovskiy, adaptive high-level of artificial intelligence, ship electric drive control system. The features of the adaptive control system with self-organizing optimum regulator with extrapolation, its structural schemes, algorithmic support and the results of synthesis of the self-organizing system control of specific marine electric drive are given. The modes of the self-organizing system in the presence of both parametric and structural perturbations are considered. It is shown by means of simulation that the developed algorithms provide not only parametric, and structural-parametric adaptation of the system, unlike the systems with conventional control algorithms. The results of the research lead to the conclusion about the effectiveness of the developed adaptive self-organizing control systems and the prospects of the proposed approach.