Objective: To improve the performance and accuracy of the system of voltage and frequency control for asynchronous traction motor (ATD) of rolling stock. Methods: To estimate the influence of artificial neural networks (INS) implementation to ATD control systems on the control indexes the comparison method was used. Results: The paper examines the possibility of INS implementation within the systems of direct control of traction electric motor moment. It also suggests a method of INS implementation as a ATD flow monitor. It provides the options of implementation and indicates the features of monitor structure design. Practical importance: Integration of the method of direct moment control and using of neural network technologies allows to improve the structure of converters and to improve the accuracy and the performance of output parameters, that, in its turn, decreases the power consumption, as well as losses in traction converters.