DEVELOPMENT OF AN ENERGY-EFFICIENT AUTOMATIC CONTROL SYSTEM OF MOBILE INDUSTRIAL ROBOT

Abstract

Abstract. The use of neural networks in automatic control systems makes it possible to increase their compliance with the assigned tasks. Such automatic control systems are able not only to use the general control methods, but also offer their algorithmic approaches to solving the tasks related to the problem of identifying the parameters of the control object. In the article, adaptive control systems and control systems using neural networks are considered. An analysis of recent research in this direction has been conducted. A concept has been proposed for the development of an energy-efficient intelligent automatic control system for a multi-motor electric drive of a mobile industrial robot. Keywords: automatic control system, mobile industrial robot, nonlinearity, energy-efficiency, uncertainty, adaptability, neural network, mechatronic module.