title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ° Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ Ð¿Ð¾ÑÑÐ¾ÑÐ½Ð½Ð¾Ð³Ð¾ ÑÐ¾ÐºÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of a neural network controller for a DC motor
Creators: name: Ð¥Ð°Ð¸ÑÐ¾Ð², Ð Ð°Ð´Ð¸Ðº
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: Ð­Ð»ÐµÐºÑÑÐ¾Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ð¸ Ð¿Ð¾ÑÑÐ¾ÑÐ½Ð½Ð¾Ð³Ð¾ ÑÐ¾ÐºÐ°
ÐÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÑ
ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
deep learning

description: Ð Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾ÑÑÐ¸ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð¾ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²Ð¾ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð¼ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¸ÑÐ¿Ð¾Ð»Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÑ Ð¼ÐµÑÐ°Ð½Ð¸Ð·Ð¼Ð¾Ð² Ð² Ð¿Ð¾Ð»ÐµÐ²ÑÑ ÑÑÐ»Ð¾Ð²Ð¸ÑÑ. Ð¡ÑÐµÐ´Ð¸ Ð½Ð¸Ñ - Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ Ð¿Ð¾ÑÑÐ¾ÑÐ½Ð½Ð¾Ð³Ð¾ ÑÐ¾ÐºÐ°. ÐÐÐ¢ ÑÐ¸ÑÐ¾ÐºÐ¾ ÑÐ°ÑÐ¿ÑÐ¾ÑÑÑÐ°Ð½ÐµÐ½ Ð² Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²Ðµ. Ð¡ÑÑÐµÑÑÐ²ÑÑÑ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐµ Ð²Ð¸Ð´Ñ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ¾Ð² Ð´Ð»Ñ Ð´Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð²Ð¸Ð´Ð° Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ, Ð²ÐºÐ»ÑÑÐ°Ñ Ð»Ð¸Ð½ÐµÐ¹Ð½ÑÐµ Ð¸ Ð½ÐµÐ»Ð¸Ð½ÐµÐ¹Ð½ÑÐµ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÑ, Ð°Ð´Ð°Ð¿ÑÐ¸Ð²Ð½ÑÐµ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÑ Ð¸ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÑ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. Ð ÑÑÐ¾Ð¹ Ð´Ð¸ÑÑÐµÑÑÐ°ÑÐ¸Ð¸ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ñ. Ðµ. Ð¼Ð½Ð¾Ð³Ð¾ÑÑÐ¾Ð²Ð½ÐµÐ²ÑÑ Ð°Ð²ÑÐ¾ÑÐ½ÐºÐ¾Ð´ÐµÑÐ¾Ð²; Ð° ÑÐ°ÐºÐ¶Ðµ Ð¸Ð·ÑÑÐµÐ½Ð¸Ðµ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð² Ð·Ð°Ð´Ð°ÑÐ°Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ. ÐÑÐµÐ´Ð»Ð°Ð³Ð°ÐµÐ¼ÑÐ¹ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¾Ð±ÑÑÐ°ÑÑÐµÐ³Ð¾ÑÑ ÐÐÐ-ÑÐµÐ³ÑÐ»ÑÑÐ¾ÑÐ°, ÐºÐ¾ÑÐ¾ÑÑÐ¹ ÑÐ°ÑÐµ Ð²ÑÐµÐ³Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑÑÑ Ð² Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾ÑÑÐ¸. ÐÑÐ¾Ð´ Ð¸ Ð²ÑÑÐ¾Ð´ ÐÐÐ-ÑÐµÐ³ÑÐ»ÑÑÐ¾ÑÐ° Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÑÑ Ð² ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð½Ð°Ð±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ ÑÐµÑÐ¸ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð¡ÑÐµÐºÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐµ Ð°Ð²ÑÐ¾ÑÐ½ÐºÐ¾Ð´ÐµÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÑÑ Ð´Ð»Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ° Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÑÐµÑÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ MatLab/Simulink, Ð¸ Ð´Ð»Ñ Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ°ÑÐ¸Ð¸ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð¸ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð±ÑÐ»Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ Ð¿Ð¾Ð´ÑÐ¾Ð±Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¼ÐµÐ¶Ð´Ñ Ð¿ÑÐµÐ´Ð»Ð°Ð³Ð°ÐµÐ¼ÑÐ¼ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ¾Ð¼ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ ÐÐÐ-ÑÐµÐ³ÑÐ»ÑÑÐ¾ÑÐ¾Ð¼.
description: The industry has implemented many methods for controlling the process of various actuators in the field. Among them is a DC motor. DPT is widely used in manufacturing. There are various types of controllers for this kind of motor, including linear and non-linear controllers, adaptive controllers, and artificial neural network controllers. This dissertation discusses the use of a deep learning algorithm, i.e., multilevel autoencoders; as well as studying the application of deep learning in control tasks. The proposed deep learning controller is based on the learning PID controller, which is most commonly used in the industry. The input and output of the PID controller are used as a dataset for training a deep learning network. Stacked autoencoders are used to develop a deep learning controller. The simulation is performed using MatLab/Simulink, and in order to demonstrate the performance and efficiency of the proposed algorithm, detailed results of a comparative study between the proposed deep learning controller and the PID controller were carried out.