Zakovorotyi O. Support decision-making system for automation of process control traffic of diesel-train

Object of study: management processes of railway vehicles with asynchronous traction occasion. Subject of investigation: a decision support system engineer to automate the process of motion control diesel train. Methods: geometric control theory, method of traction calculations, methods of optimal control theory, mathematical modeling, artificial intelligence methods, neural networks and pattern recognition theory. Theoretical and practical results: A software implementation of a knowledge base and decision support system driver which allows real-world conditions of the rolling stock to assist the engineer in choosing the optimal modes of diesel trains create a subroutine traction calculation, which calculates the optimal trajectory of diesel- trains and recalculate it in the case of changing weather conditions or road conditions on the line; implemented mathematical models of the functioning of the traction induction motor. Novelty: first developed linear mathematical model of traction induction motor, equivalent to a nonlinear model, first proposed method of managing traction rolling stock with an asynchronous electric drive based on dynamic linearization in large "entrance - state" the methods of geometric control theory, first proposed neural network adaptive resonance theory, which is how the properties of bidirectional associative memory and associative memory, which gives to the input vector are two images that association between himself and the input vector, has been further developed architecture of neural network adaptive resonance theory with an additional layer of control neurons and altered a valuation component of the input vector; has been further developed decision support system engineer for the local rolling stock traction induction drive, based on the use of specialized knowledge base to improve the accuracy of traction calculation and determine in real-time optimal control laws with the help of mathematical models in the form of Brunovsky. Degree of implementation: The results have practical application in the enterprises in the development of control systems of diesel-electric drive train with AC. Scope of use: development of control systems of rolling stock.