2020 International Russian Automation Conference (RusAutoCon)最新文献_第8页

Block Approach with Sigmoidal Feedbacks for Twin Rotor MIMO System Control 双转子MIMO系统控制的s型反馈块法

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208223

A. Antipov, S. Krasnova

引用次数: 0

Design of Nonlinear Multi-Mode Controller for Gas Turbine Engine in State Space Based on Algorithmic Approach 基于算法的状态空间燃气轮机非线性多模控制器设计

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208176

S. Valeev, N. Kondratyeva

引用次数: 2

Control of the Pyrolysis Fraction Cleaning Process Using a Neural Network 热解馏分清洗过程的神经网络控制

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208202

E. Muravyova

{"title":"Control of the Pyrolysis Fraction Cleaning Process Using a Neural Network","authors":"E. Muravyova","doi":"10.1109/RusAutoCon49822.2020.9208202","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208202","url":null,"abstract":"The process of purification of the pyrolysis fraction from acetylene compounds is one of the stages in the production of butadiene. The efficiency of purification of the pyrolysis fraction from acetylene compounds and the selectivity of the reaction are affected by the volumetric feed rate of the fraction, the mass concentration of butadiene before hydrogenation, the mass content of alpha-acetylene compounds, the content of pure acetylene, and hydrogen consumption. Artificial neural networks are selected for the development of a process control system due to the fact that they are fault tolerant. In a neural network, information is distributed throughout the network, which means if a neuron fails, the behavior of the network will be changed slightly, the behavior of neurons will change, but the network itself continues to function successfully. It is necessary to develop a neural network to control the process of purification of the pyrolysis fraction from acetylene compounds. To minimize the loss of butadiene, it is proposed to use a more efficient control system that will take into account the optimal ratio of butadiene to acetylene and the flow rate of the fraction, which significantly affect the yield of butadiene. As a result of the training, a neural network was obtained which, without reconfiguring the connection weights, generates output signals when any set of input signals from the training set is fed to the network input.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126331221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transformation of the Amplitude-Modulated Spectrum of a Signal on a Nonlinear Element 信号的调幅频谱在非线性单元上的变换

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208134

B. Saidov, V. Telezhkin

{"title":"Transformation of the Amplitude-Modulated Spectrum of a Signal on a Nonlinear Element","authors":"B. Saidov, V. Telezhkin","doi":"10.1109/RusAutoCon49822.2020.9208134","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208134","url":null,"abstract":"In many cases, the spectrum of the modulated signal is transferred to the low-frequency region, for example, when radio sound appears in active dielectrics or an acoustic signal appears on the beat frequency (the frequency of the change in the amplitude of the total signal) during information exchange signals from two ultrasonic sources. In the general case, the analysis of the process of converting the spectrum of a signal turns out to be a difficult task related to solving a system of nonlinear differential equations. In this case, the principle of superposition does not apply. Thus, the study and analysis of the signal with respect to simple methods, if the form of the current-voltage characteristic for the nonlinear element in the dynamic mode is the same as with a constant voltage in time (or in static mode). Consider the conversion of the spectrum when transmitting the amplitude-modulated signal to an active nonlinear element with nonlinear current-voltage characteristics. In the examples for the conversion of the signal spectrum, the amplitude-modulated signal and beats are considered. The use of amplitude modulation methods is necessary to transfer the signal spectrum to the low-frequency region. In this paper, we analyze the conversion of the signal spectrum to current when the amplitude-modulated voltage is applied to a nonlinear element. The carrier signal is presented in the form of harmonic trigonometric cosine functions.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131697552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Automation of Diagnostics of Defects in the Outer Ring of a Rolling Bearing 滚动轴承外圈缺陷诊断的自动化

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208058

V. Lapshin, I. A. Turkin, Ya. D. Koba

引用次数: 0

Analysis of a Discrete Object Control of Oil and Gas Pumping System under Uncertainty and Unfull Information Conditions 不确定和不完全信息条件下油气抽运系统离散目标控制分析

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208112

A. Sagdatullin

{"title":"Analysis of a Discrete Object Control of Oil and Gas Pumping System under Uncertainty and Unfull Information Conditions","authors":"A. Sagdatullin","doi":"10.1109/RusAutoCon49822.2020.9208112","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208112","url":null,"abstract":"In this article, nonlinear object of oil and gas production of oilfield pumping station is investigated. Approach to design a classical control system is studied. The nonlinearity of the object due to the daily oil inflow fluctuations at the pumping station is shown. The features of objects and technological processes of oil and gas production, collection and treatment systems such as changes in the dynamic properties of objects, the uniformity of the structure and inherent characteristics of objects, the difficulty of formalizing a single objective function for managing an object, as well as determining an objective criterion due to an incomplete data set are described. It was revealed that for the effective control of an oil and gas pumping unit, it is necessary to know the following: the model of the control object, its functional structure, the formulated requirements and control criteria. According to the studied functional structure of the object the features are formulated for building control systems for this type of units. To identify the pumping station under conditions of an incomplete data set and uncertainty, the system on the basis of the method of difference equations and z-transformation is presented. The discrete Laplace transform for the considered function and the identification of the control object based on a linear autoregressive model are presented.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134261574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Prediction Vehicle’s Speed with Using Artificial Neural Networks 基于人工神经网络的车辆速度预测

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208089

A. Fedorova, Viktar Beliautsou, I. Anikin

引用次数: 1

Message Relay Between Short-Range Radio Devices in Traffic Flow 交通流中短距离无线电设备间的报文中继

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208117

D. Vasilchenkova

引用次数: 1

Detection of Material Defects Using Graph-Based Manifold Ranking and Heterogeneous Image Features 基于图的流形排序和异质图像特征的材料缺陷检测

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208119

A. Zakharov, A. Bulaev, A. Zhiznyakov

引用次数: 0

The Method for Coordinated Movement of Intelligent Mobile Robot Group in Potentially Dangerous Territory 智能移动机器人群体在潜在危险区域的协调运动方法

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208104

A. Novikov, A. Voloshko, Evgeniy Dumchev

{"title":"The Method for Coordinated Movement of Intelligent Mobile Robot Group in Potentially Dangerous Territory","authors":"A. Novikov, A. Voloshko, Evgeniy Dumchev","doi":"10.1109/RusAutoCon49822.2020.9208104","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208104","url":null,"abstract":"The method to organize a safe and optimal joint movement of a group of intelligent mobile robots that solve common tasks in a potentially dangerous territory is purpose. Such territories include: territory covered by fire, chemically contaminated territory, and another territory with the manifestation of an emergency in which robots will be of high utility. To solve this problem, a software platform for organizing group interactions of mobile objects has been developed and the principles of building its modular architecture are given. Using the platform, the developed technique for solving the problem was implemented and a series of experiments was conducted to evaluate its effectiveness. The technique is based on algorithms for efficiently representing the movement space in the form of a directed graph, finding the shortest path based on the a-star algorithm with an optimal heuristic function, and the logic of joint interaction of a group of mobile robots with the possibility of task distribution. Evaluation of the effectiveness of the developed method was carried out on the basis of a generalized method for calculating the stabilized value of the indication of the effectiveness criterion. A demonstration experiment is the task of simultaneously and safely collecting a group of robots in a target area in a potentially dangerous territory. The main parameter to be evaluated is simultaneity of the arrival of a group of robots depending on the number of robots in a group.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"747 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132230439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0