2020 International Russian Automation Conference (RusAutoCon)最新文献_第2页

Hybrid Algorithm for Solving a Design Optimization Problems 求解设计优化问题的混合算法

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208061

L. Gladkov, N. V. Gladkova, D. Y. Gusev

引用次数: 0

Application of Simulink for Simulation of the RMS Measurement Method Based on Low-pass Filtration Simulink在低通滤波RMS测量方法仿真中的应用

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208203

Katerina A. Suhanova, A. Serov

{"title":"Application of Simulink for Simulation of the RMS Measurement Method Based on Low-pass Filtration","authors":"Katerina A. Suhanova, A. Serov","doi":"10.1109/RusAutoCon49822.2020.9208203","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208203","url":null,"abstract":"Nowadays one of the most popular methods for the root square value (RMS) measurement is an approach based on low-pass filtration of squares of input signal samples. This method allows to measure RMS values of sinusoidal and polyharmonic signals. The simplicity of implementation, the low value of the methodological error, can be attributed to the advantages of this method. The methodological measurement error is determined by the parameters of the output low-pass filter - by the values of its frequency characteristics. The objective of this article is to search for options for constructing an output filter that allows to ensure a low value of the RMS measurement error with a low implementation complexity. There were obtained analytical relationships that allows to evaluate the influence of filter parameters on the RMS measurement error of the sinusoidal input signal. An estimate of the influence of the frequency deviation of the input signal on the RMS measurement error is also obtained. Different types of digital filters were considered: Butterworth, Chebyshev I type infinite impulse response (IIR) digital filters, a filter with a Kaiser window and a moving average filter. The application of a moving average filter is considered in more detail. A technique is proposed for determining the order of a filter of this type to minimize the RMS measurement error. Estimates of the RMS error are applied to the signals of real electric power networks by simulation modeling in Simulink software package. The obtained analytical dependences are confirmed by the coincidence of the results of simulation and analytical modeling at check points.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"1 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":"125782942","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: 5

Stabilization of the Convey-Crane Position under Parametric and External Uncontrolled Disturbances 参数扰动和外部非控制扰动下运输起重机位置的镇定

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208102

A. Antipov, S. Krasnova

{"title":"Stabilization of the Convey-Crane Position under Parametric and External Uncontrolled Disturbances","authors":"A. Antipov, S. Krasnova","doi":"10.1109/RusAutoCon49822.2020.9208102","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208102","url":null,"abstract":"In this paper, we consider the convey-crane system, which can transport loads for industrial purposes. The stabilization problem of the desired convey-crane position is posed under uncertain mass inertia characteristics, incomplete measurements and an action of external disturbances. Based on the passivity property, the control law with linear and sigmoidal parts is constructed for the solution of the problem. It is shown that the using of sigmoidal function as a prelimit realization of sign-function provides disturbances invariance with the given accuracy. Moreover, sigmoidal function in feedback allows to provide transient responses that are close to aperiodic and to reduce the control resources and chattering effect due to its boundness and smoothness properties. We use the reduced order state observer with sigmoidal corrective action to estimate the speed of the convey-cranes by measuring its position. This observer does not require the knowledge of plant model and introduction of a model of external disturbances. Simulation results of a closed system with developed dynamic feedback are presented, which are compared with a classical PD-controller.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"45 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":"121972199","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

Diagnostics of an Aeroengine Automatic Control System under Conditions of Insufficient Apriorial Information 先验信息不足条件下航空发动机自动控制系统的诊断

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208140

T. Kuznetsova

{"title":"Diagnostics of an Aeroengine Automatic Control System under Conditions of Insufficient Apriorial Information","authors":"T. Kuznetsova","doi":"10.1109/RusAutoCon49822.2020.9208140","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208140","url":null,"abstract":"The optimality of an aero engine automatic control system (ACS) depends on the reliability of information about the current characteristics of the control object. It is proposed to increase the ACS robustness by creating an algorithmic information redundancy based on a built-in onboard mathematical model of the engine with the parametric gas- path diagnostics function. The method of the general matrix of influence coefficients (diagnostic matrix) is used. The study deals with the problem of incorrect conditionality of diagnostic matrices. The uncertainty of diagnostic systems is caused by the \"noise\" of the model. Two methods of reducing the model \"stochastic noise\" are considered. The first method is based on reducing undefined and ill-defined systems of equations to certain ones by selecting optimal sets of non-measurable parameters. The second approach is based on expanding the engine state space using numerical Monte Carlo methods. Based on the diagnostic results, the model is corrected in real time. \"Random noise\" in measured channels is compensated based on the Kalman filter. A semi-natural experiment on an industrial regulator with various engine power settings gave unsatisfactory results using the first method. The best accuracy is achieved when evaluating the high-pressure rotor speed, the worst-when evaluating the pressure behind the compressor. The second approach, based on statistical modeling, increases the identification accuracy by 1.5-4.7 times. Kalman filtering of input signals reduces the standard deviation of the obtained unmeasured parameters by 1.3-2.5 times.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"11 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":"134353333","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: 1

Issues of Development of Capacitive Pressure Sensors Operable under Extreme Operating Conditions 可在极端工作条件下工作的电容式压力传感器的发展问题

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208125

P. Mikhailov, Z. Ualiyev, A. Kabdoldina

{"title":"Issues of Development of Capacitive Pressure Sensors Operable under Extreme Operating Conditions","authors":"P. Mikhailov, Z. Ualiyev, A. Kabdoldina","doi":"10.1109/RusAutoCon49822.2020.9208125","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208125","url":null,"abstract":"Sensitive elements and measuring modules are the most important components of measuring converters (sensors) of various physical quantities, so for their improvement is given special attention in the sensors development. This is because they define the basic metrological characteristics of the entire sensor. This is especially true for sensors that are designed to operate in extreme conditions: ultra-low and elevated temperatures, radiation, shocks and vibrations, aggressive environments. Such conditions are typical for nuclear energy, rocket and space and aviation equipment, petrochemical industry. Developed sensors shall provide guaranteed operability and standard technical characteristics for a long time under the influence of extreme external factors. In addition, the sensor must have a low power consumption and be compatible with modern interfaces. The listed conditions can be met by capacitive sensors of physical quantities, based on conversion of the measured parameter into a capacitance and further into another electric value. Such sensors, if the manufacturer has a proven design and technology, have a very high time and parametric stability and a long service life.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"18 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":"131543962","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: 3

Block approach for CSTR Control 为CSTR控制阻挡进近

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208071

V. Utkin, S. Gulyukina

引用次数: 0

How the Design of Generator Sets for Distributed Generation Affects the Design of Emergency Controls 分布式发电机组设计对应急控制设计的影响

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208053

P. Ilyushin, A. Kulikov, S. Filippov

引用次数: 1

Depth of Planning the State of a Dynamic Discrete System by Autocorrelation Function 用自相关函数规划动态离散系统状态的深度

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208187

S. Masaev

引用次数: 1

Imitation Model of Heat Flows Redistribution in the System of Dynamic Heating Control in a Building 建筑动态供暖控制系统中热流重分布的模拟模型

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208077

S. K. Ulybyshev, B. Staroverov

引用次数: 0

Determining the Composition of the Group of Drones and the Basing Method for Oil Pipeline Monitoring 确定无人机群组成及输油管道监测的定位方法

2020 International Russian Automation Conference (RusAutoCon) Pub Date : 2020-09-01 DOI: 10.1109/RusAutoCon49822.2020.9208227

A. Fedorova, Viktar Beliautsou, Aliaksei N. Barysevich

引用次数: 2