scholarly journals Development of an intelligent electric drive control system anchor winch

2021 ◽  
pp. 195-200
Author(s):  
С.П. Черный ◽  
 А.В. Бузикаева ◽  
А.К. Тимофеев
Keyword(s):  
Control System ◽  
Control Systems ◽  
Intelligent Control ◽  
Electric Drive ◽  
Fuzzy Controller ◽  
Electric Drives ◽  
Intelligent Control System ◽  
Advantages And Disadvantages ◽  
Drive Control ◽  
Control Procedures

Данная работа посвящена моделированию интеллектуальной системы управления электроприводом якорной лебедки с применением теории нечетких множеств. Был приведен анализ существующих систем управления электроприводами якорно-швартовных узлов основанных на различных традиционных схемах регулирования, показаны достоинства и недостатки традиционных систем управления, а также выявлены основные возмущения, носящие существенно-недетерминированный характер. Процедуры интеллектуального управления в реализуемой модели системы управления электроприводом реализуются нечетким регулятором. Интеллектуальная система управления в своей основе имеет нечеткий регулятор с алгоритмом вывода Сугено, формализация входных сигналов по ошибке осуществляется двумя лингвистическими переменными. Кроме того, показано преимущество предлагаемого подхода при построении систем управления электроприводами якорно-швартовных узлов на основании базовых показателей качества. This paper is devoted to the modeling of an intelligent control system for the electric drive of an anchor winch using the theory of fuzzy sets. The analysis of the existing control systems for electric drives of anchor and mooring units based on various traditional control schemes was given, the advantages and disadvantages of traditional control systems were shown, and the main disturbances of a significantly non-deterministic nature were identified. Intelligent control procedures in the implemented model of the electric drive control system are implemented by a fuzzy controller. The intelligent control system is based on a fuzzy controller with the Sugeno output algorithm, the formalization of input signals by error is carried out by two linguistic variables. In addition, the advantage of the proposed approach in the construction of control systems for electric drives of anchor and mooring units on the basis of basic quality indicators is shown.

scholarly journals Modernization of Control Systems of Electric Drives of Mine Lifting Machines

2018 ◽  
Vol 41 ◽  
pp. 03006
Author(s):  
Ziyodullo Eshmurodov ◽  
Folib Holboiv
Keyword(s):  
Control System ◽  
Control Systems ◽  
Electric Drive ◽  
Control Algorithm ◽  
Frequency Converter ◽  
Automated Control ◽  
Electric Drives ◽  
Squirrel Cage ◽  
Drive Control ◽  
Efficient Control

The article shows the peculiarity of the system of technological automation of the newest Simatic S7-1500 PLCs, for electric drives of hoisting transport machines, the analysis of control systems for electric drives of operating mine hoisting machines of mining complexes. One of the main ways to increase the energy efficiency of MLM is to replace old asynchronous electric motors with a phase rotor with squirrel cage induction motors designed for operation in a frequency-controlled electric drive. The introduction of a frequency converter and an electric drive control system, which together allow the recovery of electricity in the supply network in the mode of generator braking. Thus, the system for automated control of the mine hoisting machine based on the Simatic S7-1500 PLC, with the developed control algorithm, is an integrated energy-efficient control system, which it is advisable to use in the management of the SHM.

scholarly journals Model of an intelligent control system for an irrigation complex

2021 ◽  
pp. 103-108
Author(s):  
Dmitry Aleksandrovich Solovyev ◽  
Galina Nickolaevna Kamyshova ◽  
Dmitry Alexandrovich Kolganov ◽  
Nadezhda Nickolaevna Terekhova
Keyword(s):  
Control System ◽  
Control Systems ◽  
Intelligent Control ◽  
Process Automation ◽  
Automated Control ◽  
Simple Process ◽  
Intelligent Control System ◽  
Irrigation Technologies ◽  
Traditional Approaches ◽  
Precision Irrigation

The article presents the results of modeling an intelligent control system for an irrigation complex. The introduction of precision irrigation technologies requires the development of new approaches to technical support. Traditional approaches based on simple process automation often do not lead to effective solutions. An approach based on the model of intellectualization of automated control systems is proposed. The structure of the intelligent control system for the irrigation complex is substantiated, which is based on an artificial neural network.

scholarly journals Diseño de interfaz gráfica para analizar el ciclo de marcha del cuerpo humano en software libre

2020 ◽  
pp. 13-17
Author(s):  
Didia Carrillo-Hernández ◽  
Yered Uriel Terrones-Lara ◽  
Heraclio García-Cervantes ◽  
Alan David Blanco-Miranda
Keyword(s):  
Control System ◽  
Control Systems ◽  
Intelligent Control ◽  
Motor System ◽  
Gait Cycle ◽  
Health Sector ◽  
Lower Limbs ◽  
Essential Information ◽  
Intelligent Control System ◽  
Over Time

Currently in the country there are more than 27 thousand cases of annual amputations and more than 80% correspond to lower limbs, therefore, the demand for prosthetic equipment is greater than what the health sector institutions can provide. It should be noted that the equipment developed by these institutions is only passive equipment, so that only 10% of patients who receive a prosthetic equipment successfully complete their rehabilitation. The main problems that the patient faces when adapting to their prosthetic equipment is the response time and alignment vs the healthy limb, since it does not have an intelligent control system that allows them to respond in real time as the losted limb did. This causes gaps when performing your gait cycle, this over time can bring about abnormalities in your posture affecting the alignment of your motor system. This work allows us to analyze the range of motion of the ankles and knees, in addition to determining the angular velocity of both, it is essential information for the development of control systems necessary for active prosthetic equipment. The programming language where it was developed is the Python 3.7 software and additionally reproduce the simulation of the gait cycle.

Expert Guided Autonomous Mobile Robot Learning

2011 ◽  
pp. 216-231
Author(s):  
Gintautas Narvydas ◽  
Vidas Raudonis ◽  
Rimvydas Simutis
Keyword(s):  
Control System ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Control Systems ◽  
Intelligent Control ◽  
Main Idea ◽  
Autonomous Mobile Robots ◽  
Autonomous Mobile Robot ◽  
Intelligent Control System ◽  
Objective Function Values

In the control of autonomous mobile robots there exist two types of control: global control and local control. The requirement to solve global and local tasks arises respectively. This chapter concentrates on local tasks and shows that robots can learn to cope with some local tasks within minutes. The main idea of the chapter is to show that, while creating intelligent control systems for autonomous mobile robots, the beginning is most important as we have to transfer as much as possible human knowledge and human expert-operator skills into the intelligent control system. Successful transfer ensures fast and good results. One of the most advanced techniques in robotics is an autonomous mobile robot on-line learning from the experts’ demonstrations. Further, the latter technique is briefly described in this chapter. As an example of local task the wall following is taken. The main goal of our experiment is to teach the autonomous mobile robot within 10 minutes to follow the wall of the maze as fast and as precisely as it is possible. This task also can be transformed to the obstacle circuit on the left or on the right. The main part of the suggested control system is a small Feed-Forward Artificial Neural Network. In some particular cases – critical situations – “If-Then” rules undertake the control, but our goal is to minimize possibility that these rules would start controlling the robot. The aim of the experiment is to implement the proposed technique on the real robot. This technique enables to reach desirable capabilities in control much faster than they would be reached using Evolutionary or Genetic Algorithms, or trying to create the control systems by hand using “If-Then” rules or Fuzzy Logic. In order to evaluate the quality of the intelligent control system to control an autonomous mobile robot we calculate objective function values and the percentage of the robot work loops when “If-Then” rules control the robot.

A SoC for Intelligent Control Systems

2012 ◽  
Vol 571 ◽  
pp. 514-517 ◽  
Author(s):  
Zheng Xing Zheng ◽  
Guo Min Tang ◽  
Li Min Liu
Keyword(s):  
Control System ◽  
Embedded System ◽  
Control Systems ◽  
Intelligent Control ◽  
Industrial Automation ◽  
Intelligent Controller ◽  
Intelligent Control System ◽  
Intelligent Control Systems ◽  
Software And Hardware

Intelligent control is a new direction of industrial automation. An intelligent control system is composed of algorithm, software and hardware. SoC is one of the best embedded system hardware. SoC may get some new progress for intelligent control. In this paper, intelligent control, SoC and some intelligent controller based on SoC are discussed. The new controller can be the smaller and more reliable.

scholarly journals ALGORITHM FOR SYNTHESIS OF QUASI-OPTIMAL IN SPEED THIRD-ORDER SYSTEMS WITH APERIODIC SLIDING MODE

2021 ◽  
Vol 1 (38) ◽  
pp. 48-56
Author(s):  
O. Derets ◽  
O. Sadovoi ◽  
H. Derets
Keyword(s):  
Control System ◽  
Control Systems ◽  
Electric Drive ◽  
Sliding Mode ◽  
Block Diagram ◽  
Order System ◽  
Practical Implementation ◽  
Third Order ◽  
Relay Control ◽  
Electric Drives

The relevance of the work is due to the growing requirements for the dynamic characteristics of electric drives. In particular, together with the requirements of ensuring high accuracy and maximum at given speed limits, a typical task of designing such systems is the mandatory formation of transition diagrams in the form of monotonic time functions. The purpose of this study is to develop an adaptive algorithm for the synthesis of the third-order sliding mode control systems based on the method of N-i switching. Changing the shape of transient trajectory depends on the magnitude of the movement, which requires adaptation of the settings of the control system of the electric drive to the features of the current positioning mode. On the basis of the N-i switching method, an algorithm for synthesizing the parameters of a re-lay control system with cascade-subordinated structure, ensures non-oscillatory initiation of a sliding mode at various positioning modes, has been created. It is constructed by integrating the results of a number of previous works, in which the synthesis of relay control systems based on the analysis of the roots of the sliding equation of the position regulator is performed. This algorithm cannot be formally considered as an optimization tool due to the incompatibility of this problem with the aperiodization taken as the purpose, which comes about for certain forms of transient trajectories. But for such cases, the loss of performance relatively optimal one is negligible. Thus, the result of the application of the proposed algorithm in most practically significant cases is an optimal third-order system with aperiodic entry into the sliding mode. When controlling the electric drive, such a system will ensure the monotonous nature of the movement of the working body of the electromechanical system. The developed block diagram is focused on the practical implementation of the algorithm by the software of controllers of precision electric drives.

Innovative Teaching Research on the Course of Intelligent Control System and Simulation

2013 ◽  
Vol 709 ◽  
pp. 441-444
Author(s):  
Zhao Yang Yang ◽  
Jie Chen ◽  
Pan Wang
Keyword(s):  
Control System ◽  
Control Systems ◽  
Intelligent Control ◽  
Teaching Model ◽  
Innovative Teaching ◽  
Teaching System ◽  
Intelligent Control System ◽  
Teaching Research ◽  
Systems Simulation ◽  
And Control

Innovative teaching research on the teaching system of intelligent control and control systems simulation is developed: based on the principle of methodological integration, a teaching model in classroom with seminars is established; an intelligent teaching software system is developed for effectively supporting the teaching.

scholarly journals Necessity of intelligent control systems application in experimental nuclear physics complexes (NICA type).PT.I: Problems of unforeseen situations

2020 ◽  
pp. 32-57
Author(s):  
Oleg Brovko ◽  
Alexey Eliseev ◽  
Vladimir Kekelidze ◽  
Vladimir Korenkov ◽  
Dmitry Monahov ◽  
...  
Keyword(s):  
Control System ◽  
Control Systems ◽  
Intelligent Control ◽  
Nuclear Physics ◽  
Fuzzy Controller ◽  
Knowledge Bases ◽  
Level Control ◽  
Intelligent Computing ◽  
Intelligent Control Systems ◽  
End To End

In the article (Part I) the necessity of application of end-to-end quantum technologies of intelligent computing in problems of structure elements control of complex experimental accelerator complex NICA is analyzed. Given a description of possible unforeseen situations, their classification is given to include adjustments to the decision-making application of production rules, logic knowledge bases of intelligent control systems based on emerging information risk increment. In the second part (Part II) the proposed two-level intelligent control system, a physical experimental setup of the NICA complex, in which the lower Executive level is a traditional control system based on expert control using the Tango control system Controls, while the upper (intelligent) level control actions are generated using the methods of quantum end-to-end IT design quantum fuzzy controller. Part II presents the QSCIT (Quantum Soft Computational Intelligence Toolkit), based on soft and quantum computing, to design robust knowledge bases in self-organizing intelligent control systems.

scholarly journals Simulation of Traction Electric Drive with Vector Systems of Direct Torque Control

2015 ◽  
Vol 2 ◽  
pp. 106
Author(s):  
Ilya Fedotov ◽  
Vyacheslav Tikhonov
Keyword(s):  
Control Systems ◽  
Electric Drive ◽  
Asynchronous Motor ◽  
Direct Torque Control ◽  
Harmonic Distortion ◽  
Torque Control ◽  
Electric Drives ◽  
Advantages And Disadvantages ◽  
Traction Electric Drive ◽  
Vector Systems

The article deals with investigation of electromechanical and energetic characteristics of traction electric drive with vector systems of direct torque control. As a controlled object the traction asynchronous motor ДТА-1У1, which is used to drive the trolley-bus is considered. At the present time the usage of traction asynchronous electric drives for town transport is relevant. Due to development of power electronic devices and microprocessor-based control systems it became possible to replace DC electric drives with electric drives with asynchronous motors. The article contains brief description of two different types of control systems: field-oriented control (FOC) and direct torque control (DTC). Principles of work for both systems are considered and the main advantages and disadvantages associated with the use of these systems are pointed out. The models of both systems for traction asynchronous electric drive, built in modeling environment MATLAB/Simulink, are given in this article for further comparative analysis. As the main quality factor of control total harmonic distortion (THD) is used.

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