J. Vachálek, D. Šišmišová, Ivan Fitka, Matej Simovec
{"title":"Long-term On-line Identification of Time-varying Systems","authors":"J. Vachálek, D. Šišmišová, Ivan Fitka, Matej Simovec","doi":"10.1109/ICCC51557.2021.9454625","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454625","url":null,"abstract":"This article discusses the possibility of deploying regression recursive continuous identification methods, which are using regularized exponential forgetting, during long-term monitoring of time-varying systems. The emphasis is placed on the long-term deployment since the advantage of this algorithm will only become evident with long-term deployment. These continuous identification algorithms are going to be applied on the mathematical model of the identified system for the needs of adaptive control. The article presents the implemented continuous identification techniques, where the non-informative data, that can possibly destabilize the numerical calculations of the identified system parameters, are weighted by the Dyadic reduction algorithm. These techniques are using an alternative covariance matrix for its “forgetting” in order to maintain the initial system dynamics in the mathematical model of the identified system. The matrix also suppresses the impact of high amounts of non-informative data received from the long-term operation the industrial systems with slow dynamics. The focus is mainly set on the non-informative data, which emerge especially during the long-term run of the tuned systems operating in between the bounds of the selected working point. A “Motor-Flywheel” laboratory model is used for the validation tests of the modified and the standard regression recursive algorithms.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134023037","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}
{"title":"Virtual Tools Used to Study the Electrical Equipment Operating Modes","authors":"N. Pătrășcoiu, C. Rus, Ioana Nicoleta Negru","doi":"10.1109/ICCC51557.2021.9454642","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454642","url":null,"abstract":"Along with the rapid technological development in recent years, it is necessary to find rapid methods of application type for training future professionals in several branches of industry. In this paper is presented in detail both hardware and software a laboratory stand for an interactive training of future professionals in the fields related to virtual instrumentation in terms of data acquisition, processing and display in a form as explicit and easy to understanding of the results. The entire system was created using a Modbus communication protocol and the software application was created in the LabVIEW graphics development environment. The application has multiple applicability in several types of data downloads or measurements of several parameters. From the point of view of the addressability of this stand, auxiliary tools have been created to better understand the phenomena and processes to be studied in the training flow of future professionals in the field of virtual instrumentation. Built in the form of an interactive application, it offers the opportunity for future professionals to benefit from a complete training starting from studying the theoretical part of a laboratory work, visualizing the implementation schemes and making measurements that are then used to make different analyzes of results.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"452 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134042045","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}
{"title":"Robust Tuning of PI and PID Controllers for Integrating Plants with Time Delay","authors":"M. Vítečková, A. Víteček","doi":"10.1109/ICCC51557.2021.9454634","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454634","url":null,"abstract":"The article is devoted to a new approach to the analysis of the robustness of the PI and PID controller tuning for integrating plants with time delay. Its main benefit is that it allows to quantitatively assess the robustness of a given controller tuning method in the frequency domain and in the domain of the relative controller adjustable parameters. The approach uses dimensionless complex variable which makes possible the generalization of the results and simplifies their interpretation. Therefore, controller tuning methods that do not provide sufficient robustness can be easily and objectively eliminated.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"242 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132914290","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}
{"title":"Intelligent Control of a Permanent Magnet DC Motor","authors":"Gheorghe Bujgoi, D. Sendrescu","doi":"10.1109/ICCC51557.2021.9454643","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454643","url":null,"abstract":"This paper presents the use of artificial intelligence for the control of a permanent magnet DC motor. The system can be found especially in robotic systems that perform repetitive operations. The control law is generated by an intelligent Reinforcement Learning algorithm. From the numerous variants of this type of algorithm, the Policy Iteration type algorithm was chosen. The algorithm was experimentally implemented using a data acquisition system and Matlab/Simulink software. The control system was tested for several variants of the load (by changing its inertia moment). The simulation and experimental results show that the intelligent control method based on reinforcement learning has better trajectory tracking and vibrations suppression.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126970656","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}
Radek Štramberský, V. Pavelka, M. Weisz, Radek Guráš
{"title":"Model of the Far-Field Acoustic Localisation","authors":"Radek Štramberský, V. Pavelka, M. Weisz, Radek Guráš","doi":"10.1109/ICCC51557.2021.9454635","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454635","url":null,"abstract":"This paper discusses the approach of the numerical model design and discusses the properties and accuracy of the far-field localization technique for two chosen microphone array topologies using the conventional beamforming algorithm. The proposed solution enables us to study, innovate the algorithms of acoustic localization, and understand the limits of the current solutions using Matlab/Simulink environment. Thanks to the results proposed everyone can use the tool for numerical simulations to better understand the results measured by the microphone arrays.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"79 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836404","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}
{"title":"Experimental Model for Active Vibration Control on Lattice Structure","authors":"P. Šuránek, S. Sreethar, Radek Štramberský","doi":"10.1109/ICCC51557.2021.9454629","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454629","url":null,"abstract":"Experimental activities are necessary parts of scientific work in active vibration control to investigate functionality and quality of the designed control algorithm. Current research is motivated on the usage of smart materials and novel control approaches. This study is focused on the presentation of the laboratory test model, designed for the experiments with active vibration control on the beam structure. The structure is connected to the moving platform and equipped with piezoelectric actuator, which is placed in one main leg of this construction, and with piezoelectric accelerometer, which senses the acceleration of the top of this assembly. Electrodynamic shaker is also a part of the device. It is connected to the moving platform and excites the whole structure. In the paper, there is also a part dedicated to the identification procedure of the laboratory model as well as the creation of corresponding mathematical model. At the end, the control algorithm is presented and evaluated in the simulation and on the real structure.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115947252","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}
{"title":"Design of Fan Model Controlling System Based on STM32","authors":"J. Škutová, Jan Šídlo","doi":"10.1109/ICCC51557.2021.9454666","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454666","url":null,"abstract":"The paper describes the implementation of a control system based on STM32 microcontroller, which was selected to control the laboratory model of the fan. First, a mathematical model was identified and then the design of the parameters of the digital PID controller was tuned using the desired model method. In the KEIL $mu$ Vision environment, program functions for this control process were created and tested in real time.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121106162","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}
{"title":"Finding Geometry of Two Micrometers Using Affine Transformation","authors":"J. Czebe, D. Horák, J. Tuma","doi":"10.1109/ICCC51557.2021.9454622","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454622","url":null,"abstract":"A significant part of Industry 4.0 is collecting data during manufacturing and optimizing production, and prolonging the machine lifetime. In our case, we propose to minimize the depth of cut on CNC to prolong cylinder lifetime in a rolling mill. Currently used measuring methods (precise template, clamp micrometer) without feedback are replaced with two 2-D micrometers. In our solution, we directly clamped the measuring head containing two micrometers on CNC's linear guidance. We propose a thin slice of metal (calibration template) with specific geometry designed for ongoing calibration in each cylinder's measuring cycle.The article's primary goal is to introduce a novel method of precisely processing data from both micrometers and one relative position (axis X, Z) given by CNCs linear guidance. Our team verified the Calibration Template's (CT) real profile on a Coordinate Measuring Machine (CMM).All horizontal sections of the CT are selected from measured data and fitted to the CT's corresponding section. All sections are replaced with landmarks to find the optimal transformation between both micrometer's spaces in the next step. Then we apply the found micrometer's geometry on raw data to compare the resulting CT's profile against the profile from CMM.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124142190","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}
{"title":"Artificial Intelligence Used to Control Non-linear Systems","authors":"A. Nawrocka, M. Nawrocki, A. Kot","doi":"10.1109/ICCC51557.2021.9454632","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454632","url":null,"abstract":"The aim of this paper is to establish the whether usage of artificial neural networks in robust robot arm control is a viable solution. The result of this study can be used later as a reference if such a solution would be used in a practical application. Controlled plant, which was a two arm robotic arm, was modelled using Simscape environment. Neural networks were utilized as a plant model, as trying to achieve a quality model of non-linear systems using a math equations is not only time consuming and very tough but sometimes even impossible.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126174807","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}
{"title":"Customization of PSO Algorithm for Fast Design of Emergency Medical System","authors":"Marek Kvet, J. Janáček","doi":"10.1109/ICCC51557.2021.9454611","DOIUrl":"https://doi.org/10.1109/ICCC51557.2021.9454611","url":null,"abstract":"Mathematical modelling, and integer programming generally, has many practical applications in the field of emergency system designing. Effective and fast solving approaches for real-sized problems constitute a key stone of the decision support systems. This paper is focused only on a special class of location problems in which the exact number of facilities are to be selected in order to minimize average response time of the emergency medical system. Since the exact methods are not suitable for their unpredictable computational time, we focus on usage of a special type of a particle swarm optimization algorithm transformed to a discrete mode. We aim at the goal to confirm the hypothesis that it is possible to suggest a sophisticated heuristic for the problem, which can produce a near-to-optimal solution in much smaller time than demanded by exact methods. Especially, we concentrate our effort on customization of the algorithm by usage of uniformly deployed set as a starting swarm and on determining its most convenient size. To verify the impact of the customization, computational study with real-sized benchmarks was performed.","PeriodicalId":339049,"journal":{"name":"2021 22nd International Carpathian Control Conference (ICCC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131311030","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}