2022 26th International Conference on System Theory, Control and Computing (ICSTCC)最新文献

Continuous Manufacturing using Linear Quadratic Regulator in the Context of Cyber-Physical Systems 在信息物理系统中使用线性二次调节器的连续制造

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931791

Amelia Chindrus, D. Copot, C. Caruntu

{"title":"Continuous Manufacturing using Linear Quadratic Regulator in the Context of Cyber-Physical Systems","authors":"Amelia Chindrus, D. Copot, C. Caruntu","doi":"10.1109/ICSTCC55426.2022.9931791","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931791","url":null,"abstract":"Continuous manufacturing represents a flow production method in which the processed materials are in continuous movement between the interconnected operating units involved in the production process. This method has been adopted in many industries, e.g., electrical components, automotive or food production due to increased needs and higher quality of the resulting products. Continuous manufacturing is a first step towards transforming industrial processes into cyber-physical systems (CPSs). In case of pharma industry, recent studies revealed the benefits of transforming batch production into continuous manufacturing, related to product quality, lower fabrication costs and reduced production times. Among the advantages of continuous manufacturing, regardless of industry, is an increase in efficiency, enabled by maximum automation through the interconnection of operation units. As such, this paper proposes a control strategy based on Linear Quadratic Regulator (LQR) with Integral action (LQI) for the production of pharmaceutical tablets. Moreover, the control architecture has been extended by using an observer to estimate the unknown states of the system. The simulation results obtained on a Matlab/Simulink-based pilot plant and the performance analysis prove that this method is suitable for the dry granulation process.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115487502","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

3D Pose Estimation of Custom Objects Using Synthetic Datasets 使用合成数据集的自定义对象的三维姿态估计

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931890

A. Florea, F. Stoican, C. Buiu, C. Oara

引用次数: 0

Predictions based on Evolutionary Algorithms – Implementation Aspects regarding the Control Variables' Domain 基于进化算法的预测-关于控制变量领域的实现方面

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931827

V. Mînzu, Iulian Arama, C. Vlad

引用次数: 0

Investigation of Camera-Based Loop-Closing Techniques for EKF-SLAM 基于摄像机的EKF-SLAM闭环技术研究

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931868

Lukas Pröhl, Ricus Husmann, Vinzenz Birr, H. Aschemann

引用次数: 0

Twitter Sentiment and Bitcoin Price – Is there a connection? 推特人气和比特币价格——有联系吗?

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931814

Alexandru-Costin Băroiu, G. Ene

引用次数: 0

Web Application for PI/PID Controllers Tuning Using a Fractional-Order Process Model 使用分数阶过程模型的PI/PID控制器调谐的Web应用程序

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931835

J. Hidalgo, H. Meneses, O. Arrieta, R. Vilanova

引用次数: 0

Robust fault detection for gearbox failure 变速箱故障的鲁棒故障检测

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931829

N. Haloui, M. Abbas-Turki, T. Rodet

引用次数: 0

Complementary Control Actions for Greenhouse Gas Emissions Reduction in Wastewater Treatment Plant Operation 减少污水处理厂温室气体排放的补充管制行动

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931777

I. Santín, R. Vilanova, C. Pedret, M. Meneses, O. Arrieta

{"title":"Complementary Control Actions for Greenhouse Gas Emissions Reduction in Wastewater Treatment Plant Operation","authors":"I. Santín, R. Vilanova, C. Pedret, M. Meneses, O. Arrieta","doi":"10.1109/ICSTCC55426.2022.9931777","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931777","url":null,"abstract":"Wastewater treatment plants are necessary to improve the quality of wastewater before it is discharged into the receiving environment, but they have the disadvantage of generating nitrous oxide emissions during the biological treatment, which is a potent Greenhouse Gas (GHG). This is a serious drawback as the reduction of greenhouse gas emissions due to anthropogenic causes is one of the main challenges to face with reference to climate change effects. In this paper we examine one potential way to reduce nitrous oxide emissions by reducing the dissolved oxygen to minimum levels. To achieve this objective, the present work proposes to use the internal recirculation flow rate of the biological treatment. This is a rather forgotten manipulated variable that, as it is intended to show, may have potential side effects to complement already existing control actions. Therefore, this additional regulation is added to a usual control strategy in wastewater treatment plants, which achieves satisfactory results in water quality and in operational costs but with high nitrous oxide emissions. The Benchmark Simulation Model No.2 Gas (BSM2G) is used as working scenario, which includes the two main nitrous oxide emission pathways: heterotrophic denitrification and ammonia oxidizing bacteria denitrification.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114712456","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

Microcontroller Based Low Cost Seismic Vibration Generating System 基于单片机的低成本地震振动产生系统

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931779

Mohammad Zain, A. H. Ali, S. M. Hamza, S. J. Arif

{"title":"Microcontroller Based Low Cost Seismic Vibration Generating System","authors":"Mohammad Zain, A. H. Ali, S. M. Hamza, S. J. Arif","doi":"10.1109/ICSTCC55426.2022.9931779","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931779","url":null,"abstract":"Studying and analysing earthquake signals, in some depth, is an important aspect of engineering, geophysics, and disaster management. At present seismic vibration analysis involves large-scale setups that require a considerable investment. Shake tables, underwater explosions, colliding large masses with shock absorbers, are all expensive, complex, and non-mobile processes of generating seismic vibrations. In the backdrop of the above, the purpose of the present study is rather modest, viz. to examine and suggest a viable and reliable low-cost technology with a portable method for producing seismic vibrations and foreshocks. To achieve the objective, a novel algorithm is devised, tested, and implemented employing a synchro, stepper motor, and microcontroller. The results were verified by using a technique that uses changes in the rotating magnetic field to measure velocity with high accuracy. The findings from the aforesaid method are quite accurate in comparison to the reference data. The analysis of the measurements performed in the frequency domain with MATLAB is in good concurrence with the benchmarked data. The present study provides an alternative and more economical method to analyse shockwaves and any seismic activity that takes place in the surrounding areas.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131797257","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

Deep Learning based Parts Classification in a Cognitive Robotic Cell System 基于深度学习的认知机器人细胞系统部件分类

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931784

Sabin Rosioru, G. Stamatescu, Iulia Stamatescu, I. Fagarasan, D. Popescu

{"title":"Deep Learning based Parts Classification in a Cognitive Robotic Cell System","authors":"Sabin Rosioru, G. Stamatescu, Iulia Stamatescu, I. Fagarasan, D. Popescu","doi":"10.1109/ICSTCC55426.2022.9931784","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931784","url":null,"abstract":"Advanced manufacturing systems increasingly rely on intelligent algorithms to discriminate, model and predict system behaviours that lead to increased productivity. Edge intelligence allows the industrial systems to collect, compute and act based on process data while reducing the latency and cost associated to an hierarchical control system in which complex decisions are generated in the upper layers of the automation hierarchy. Greater local computing capabilities allow the online operation of such algorithms while accounting for increased performance requirements and lower sampling periods of the control loops. In this work we present the concept of a cognitive robotic cell that collects, stores and processes data in situ for enabling the control of a robotic arm in a production setting. The main features that characterise the robotic cell are embedded computing, open interfaces, and standards-based industrial communication with hardware peripherals and digital twin models for validation. An application of part classification is presented that uses the YOLOv4 image processing algorithm for real-time and online assessment that guides the control of an ABB IRB120C robotic arm. Results illustrate the feasibility and robustness of the approach in a real application. Quantitative evaluation underlines the performance of the implemented system.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115460286","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